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chore(prices): sync Azure prices: 20 models, 20 new [20 with gaps] - #42594
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| "litellm_provider": "azure_ai", | ||
| "mode": "embedding", | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'" | ||
| }, |
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MAI-Image-2e marked as embedding
High Severity
azure_ai/MAI-Image-2e is an image generation model but is stored as mode embedding with only input_cost_per_token. Sibling azure_ai/MAI-Image-2.5 entries use image_generation plus output image pricing. Image calls therefore miss output billing and can log near-zero spend.
Additional Locations (1)
Reviewed by Cursor Bugbot for commit 0e79584. Configure here.
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| "azure_ai/MAI-Image-2e": { | ||
| "input_cost_per_token": 5e-06, | ||
| "litellm_provider": "azure_ai", | ||
| "mode": "embedding", |
| }, | ||
| "azure_ai/deepseek-r1": { | ||
| "input_cost_per_token": 1.35e-06, | ||
| "litellm_provider": "azure_ai", | ||
| "mode": "chat", | ||
| "output_cost_per_token": 5.4e-06, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_reasoning": true, | ||
| "supports_tool_choice": true, | ||
| "supports_vision": false | ||
| }, | ||
| "azure_ai/deepseek-v3-0324": { | ||
| "input_cost_per_token": 1.14e-06, | ||
| "litellm_provider": "azure_ai", | ||
| "mode": "chat", | ||
| "output_cost_per_token": 4.56e-06, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_reasoning": false, | ||
| "supports_response_schema": true, | ||
| "supports_vision": false | ||
| }, | ||
| "azure_ai/deepseek-v3.1": { | ||
| "input_cost_per_token": 1.23e-06, | ||
| "litellm_provider": "azure_ai", | ||
| "mode": "chat", | ||
| "output_cost_per_token": 4.94e-06, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_reasoning": true, | ||
| "supports_tool_choice": true, | ||
| "supports_vision": false | ||
| }, | ||
| "azure_ai/grok-3": { | ||
| "input_cost_per_token": 3e-06, | ||
| "litellm_provider": "azure_ai", | ||
| "max_input_tokens": 131072, | ||
| "mode": "chat", | ||
| "output_cost_per_token": 1.5e-05, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_response_schema": true, | ||
| "supports_tool_choice": true | ||
| }, | ||
| "azure_ai/grok-3-mini": { | ||
| "input_cost_per_token": 2.5e-07, | ||
| "litellm_provider": "azure_ai", | ||
| "max_input_tokens": 131072, | ||
| "max_output_tokens": 131072, | ||
| "max_tokens": 131072, | ||
| "mode": "chat", | ||
| "output_cost_per_token": 1.27e-06, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_reasoning": true, | ||
| "supports_response_schema": true, | ||
| "supports_tool_choice": true | ||
| }, | ||
| "azure_ai/grok-4-fast-non-reasoning": { | ||
| "input_cost_per_token": 2e-07, | ||
| "litellm_provider": "azure_ai", | ||
| "mode": "chat", | ||
| "output_cost_per_token": 5e-07, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_reasoning": false, | ||
| "supports_response_schema": true, | ||
| "supports_tool_choice": true | ||
| }, | ||
| "azure_ai/grok-4-fast-reasoning": { | ||
| "input_cost_per_token": 2e-07, | ||
| "litellm_provider": "azure_ai", | ||
| "mode": "chat", | ||
| "output_cost_per_token": 5e-07, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_reasoning": true, | ||
| "supports_response_schema": true, | ||
| "supports_tool_choice": true | ||
| }, | ||
| "azure_ai/MAI-Image-2e": { | ||
| "input_cost_per_token": 5e-06, | ||
| "litellm_provider": "azure_ai", | ||
| "mode": "embedding", | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'" | ||
| }, | ||
| "azure/eu/gpt-5.1-chat": { | ||
| "cache_read_input_token_cost": 1.375e-07, | ||
| "input_cost_per_token": 1.375e-06, | ||
| "litellm_provider": "azure", | ||
| "mode": "chat", | ||
| "output_cost_per_token": 1.1e-05, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_prompt_caching": true, | ||
| "supports_response_schema": true, | ||
| "supports_tool_choice": true, | ||
| "supports_vision": true | ||
| }, | ||
| "azure/eu/gpt-5.2-chat": { | ||
| "cache_read_input_token_cost": 1.925e-07, | ||
| "input_cost_per_token": 1.925e-06, | ||
| "litellm_provider": "azure", | ||
| "mode": "chat", | ||
| "output_cost_per_token": 1.54e-05, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_prompt_caching": true, | ||
| "supports_reasoning": false, | ||
| "supports_response_schema": true, | ||
| "supports_tool_choice": true, | ||
| "supports_vision": true | ||
| }, | ||
| "azure/eu/gpt-5.3-chat": { | ||
| "cache_read_input_token_cost": 1.925e-07, | ||
| "input_cost_per_token": 1.925e-06, | ||
| "litellm_provider": "azure", | ||
| "mode": "chat", | ||
| "output_cost_per_token": 1.54e-05, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_prompt_caching": true, | ||
| "supports_response_schema": true, | ||
| "supports_tool_choice": true, | ||
| "supports_vision": true | ||
| }, | ||
| "azure/eu/o1-preview": { | ||
| "cache_read_input_token_cost": 8.25e-06, | ||
| "input_cost_per_token": 1.65e-05, | ||
| "litellm_provider": "azure", | ||
| "max_input_tokens": 128000, | ||
| "max_output_tokens": 32768, | ||
| "max_tokens": 32768, | ||
| "mode": "chat", | ||
| "output_cost_per_token": 6.6e-05, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_prompt_caching": true, | ||
| "supports_reasoning": true, | ||
| "supports_vision": false | ||
| }, | ||
| "azure/gpt-5-chat": { | ||
| "cache_read_input_token_cost": 1.25e-07, | ||
| "input_cost_per_token": 1.25e-06, | ||
| "litellm_provider": "azure", | ||
| "max_input_tokens": 128000, | ||
| "max_output_tokens": 16384, | ||
| "max_tokens": 16384, | ||
| "mode": "chat", | ||
| "output_cost_per_token": 1e-05, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_prompt_caching": true, | ||
| "supports_reasoning": true, | ||
| "supports_response_schema": true, | ||
| "supports_vision": true | ||
| }, | ||
| "azure/gpt-5.1-chat": { | ||
| "cache_read_input_token_cost": 1.25e-07, | ||
| "input_cost_per_token": 1.25e-06, | ||
| "litellm_provider": "azure", | ||
| "mode": "chat", | ||
| "output_cost_per_token": 1e-05, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_prompt_caching": true, | ||
| "supports_response_schema": true, | ||
| "supports_tool_choice": true, | ||
| "supports_vision": true | ||
| }, | ||
| "azure/gpt-5.2-chat": { | ||
| "cache_read_input_token_cost": 1.75e-07, | ||
| "input_cost_per_token": 1.75e-06, | ||
| "litellm_provider": "azure", | ||
| "max_input_tokens": 128000, | ||
| "mode": "chat", | ||
| "output_cost_per_token": 1.4e-05, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_prompt_caching": true, | ||
| "supports_reasoning": false, | ||
| "supports_response_schema": true, | ||
| "supports_tool_choice": true, | ||
| "supports_vision": true | ||
| }, | ||
| "azure/gpt-5.3-chat": { | ||
| "cache_read_input_token_cost": 1.75e-07, | ||
| "input_cost_per_token": 1.75e-06, | ||
| "litellm_provider": "azure", | ||
| "max_input_tokens": 128000, | ||
| "max_output_tokens": 64000, | ||
| "max_tokens": 64000, | ||
| "mode": "chat", | ||
| "output_cost_per_token": 1.4e-05, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_response_schema": true, | ||
| "supports_vision": true | ||
| }, | ||
| "azure/us/gpt-5.1-chat": { | ||
| "cache_read_input_token_cost": 1.375e-07, | ||
| "input_cost_per_token": 1.375e-06, | ||
| "litellm_provider": "azure", | ||
| "mode": "chat", | ||
| "output_cost_per_token": 1.1e-05, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_prompt_caching": true, | ||
| "supports_response_schema": true, | ||
| "supports_tool_choice": true, | ||
| "supports_vision": true | ||
| }, | ||
| "azure/us/gpt-5.2-chat": { | ||
| "cache_read_input_token_cost": 1.925e-07, | ||
| "input_cost_per_token": 1.925e-06, | ||
| "litellm_provider": "azure", | ||
| "mode": "chat", | ||
| "output_cost_per_token": 1.54e-05, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_prompt_caching": true, | ||
| "supports_reasoning": false, | ||
| "supports_response_schema": true, | ||
| "supports_tool_choice": true, | ||
| "supports_vision": true | ||
| }, | ||
| "azure/us/gpt-5.3-chat": { | ||
| "cache_read_input_token_cost": 1.925e-07, | ||
| "input_cost_per_token": 1.925e-06, | ||
| "litellm_provider": "azure", | ||
| "mode": "chat", | ||
| "output_cost_per_token": 1.54e-05, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_function_calling": true, | ||
| "supports_response_schema": true, | ||
| "supports_tool_choice": true, | ||
| "supports_vision": true | ||
| }, | ||
| "azure/us/o1-preview": { | ||
| "cache_read_input_token_cost": 8.25e-06, | ||
| "input_cost_per_token": 1.65e-05, | ||
| "litellm_provider": "azure", | ||
| "max_input_tokens": 128000, | ||
| "max_output_tokens": 32768, | ||
| "max_tokens": 32768, | ||
| "mode": "chat", | ||
| "output_cost_per_token": 6.6e-05, | ||
| "source": "https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption'", | ||
| "supports_prompt_caching": true, | ||
| "supports_vision": false |
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This feature adds twenty pricing entries without meaningful regression tests, violating the repository requirement. Add invariant coverage for registry loading and cost lookup before merging
Context Used: CLAUDE.md (source)
Note: If this suggestion doesn't match your team's coding style, reply to this and let me know. I'll remember it for next time!
Codecov Report✅ All modified and coverable lines are covered by tests. 📢 Thoughts on this report? Let us know! |
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Fourteen new keys (gpt-5.1-chat, gpt-5.3-chat, MAI-Image-2e, deepseek-r1, grok-3 and siblings) are past retirement on https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/model-lifecycle-retirement, so they should not be created |
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azure_ai/MAI-Image-2e is written as mode embedding with only input 5e-6; the Azure retail API also prices Image 2e output tokens at 0.0195 per 1K |
azure_ai/deepseek-r1: input_cost_per_token, output_cost_per_token, max_input_tokens, supports_tool_choice, supports_vision, supports_reasoning azure_ai/deepseek-v3-0324: input_cost_per_token, output_cost_per_token, max_input_tokens, supports_function_calling, supports_vision, supports_response_schema, supports_reasoning azure_ai/deepseek-v3.1: input_cost_per_token, output_cost_per_token, supports_function_calling, supports_tool_choice, supports_vision, supports_prompt_caching, supports_reasoning azure_ai/grok-3: input_cost_per_token, output_cost_per_token, max_input_tokens, supports_function_calling, supports_tool_choice, supports_response_schema azure_ai/grok-3-mini: input_cost_per_token, output_cost_per_token, max_input_tokens, max_output_tokens, max_tokens, supports_function_calling, supports_tool_choice, supports_response_schema, supports_reasoning azure_ai/grok-4-fast-non-reasoning: input_cost_per_token, output_cost_per_token, supports_function_calling, supports_tool_choice, supports_response_schema, supports_reasoning azure_ai/grok-4-fast-reasoning: input_cost_per_token, output_cost_per_token, supports_function_calling, supports_tool_choice, supports_response_schema, supports_reasoning azure_ai/MAI-Image-2e: input_cost_per_token azure/eu/gpt-5.1-chat: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost, supports_function_calling, supports_tool_choice, supports_vision, supports_response_schema, supports_prompt_caching azure/eu/gpt-5.2-chat: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost, max_input_tokens, supports_function_calling, supports_tool_choice, supports_vision, supports_response_schema, supports_prompt_caching, supports_reasoning azure/eu/gpt-5.3-chat: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost, max_input_tokens, max_output_tokens, max_tokens, supports_function_calling, supports_tool_choice, supports_vision, supports_response_schema, supports_prompt_caching azure/eu/o1-preview: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost, max_input_tokens, max_output_tokens, max_tokens, supports_vision, supports_prompt_caching, supports_reasoning azure/gpt-5-chat: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost azure/gpt-5.1-chat: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost, supports_function_calling, supports_tool_choice, supports_vision, supports_response_schema, supports_prompt_caching azure/gpt-5.2-chat: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost, supports_function_calling, supports_tool_choice, supports_vision, supports_response_schema, supports_prompt_caching, supports_reasoning azure/gpt-5.3-chat: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost, max_input_tokens, max_output_tokens, max_tokens, supports_function_calling, supports_vision, supports_response_schema azure/us/gpt-5.1-chat: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost, supports_function_calling, supports_tool_choice, supports_vision, supports_response_schema, supports_prompt_caching azure/us/gpt-5.2-chat: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost, supports_function_calling, supports_tool_choice, supports_vision, supports_response_schema, supports_prompt_caching, supports_reasoning azure/us/gpt-5.3-chat: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost, max_output_tokens, max_tokens, supports_function_calling, supports_tool_choice, supports_vision, supports_response_schema, supports_prompt_caching azure/us/o1-preview: input_cost_per_token, output_cost_per_token, cache_read_input_token_cost, max_input_tokens, max_output_tokens, max_tokens, supports_vision, supports_prompt_caching, supports_reasoning
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azure_ai/deepseek-r1: deprecation_date azure_ai/deepseek-v3-0324: deprecation_date azure_ai/deepseek-v3.1: deprecation_date azure_ai/grok-3: deprecation_date azure_ai/grok-3-mini: deprecation_date azure_ai/grok-4-fast-non-reasoning: deprecation_date azure_ai/grok-4-fast-reasoning: deprecation_date azure_ai/MAI-Image-2e: deprecation_date azure/eu/gpt-5.1-chat: deprecation_date azure/eu/gpt-5.3-chat: deprecation_date azure/gpt-5.1-chat: deprecation_date azure/gpt-5.3-chat: deprecation_date azure/us/gpt-5.1-chat: deprecation_date azure/us/gpt-5.3-chat: deprecation_date Price-Sync: litellm-providers
… Cohere Command A Plus Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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Source row for the new entries: |
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Cursor Bugbot has reviewed your changes using default effort and found 2 potential issues.
There are 3 total unresolved issues (including 1 from previous review).
❌ Bugbot Autofix is OFF. To automatically fix reported issues with cloud agents, enable autofix in the Cursor dashboard.
Reviewed by Cursor Bugbot for commit c256ecd. Configure here.
| "supports_prompt_caching": true, | ||
| "supports_tool_choice": true, | ||
| "supports_vision": true | ||
| }, |
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DeepSeek Flash omits reasoning flag
Medium Severity
azure_ai/FW-DeepSeek-V4.1-Flash omits supports_reasoning while setting other inferred flags. This model is a reasoning model; sibling Azure Fireworks DeepSeek rows and the OpenRouter/Fireworks V4.1 Flash entries all set supports_reasoning true. LiteLLM then treats the model as non-reasoning, so reasoning params and cost handling stay off.
Additional Locations (1)
Reviewed by Cursor Bugbot for commit c256ecd. Configure here.
| "input_cost_per_token": 3.75e-07, | ||
| "litellm_provider": "azure_ai", | ||
| "max_input_tokens": 1048576, | ||
| "max_tokens": 1048576, |
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DeepSeek Flash output limit inflated
Medium Severity
azure_ai/FW-DeepSeek-V4.1-Flash sets max_tokens to 1048576 and omits max_output_tokens. get_max_tokens then reports a 1M output cap. OpenRouter and Fireworks list this model near 384k–393k output, and sibling azure_ai/FW-DeepSeek-V4-Pro uses 384000. Callers can send completions far above the provider limit.
Additional Locations (1)
Reviewed by Cursor Bugbot for commit c256ecd. Configure here.
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Superseded by the rolling registry PR #42951, which carries these values re-verified against the official sources with a co-author credit. Thanks! |


TLDR
Problem this solves:
How it solves it:
User Flow
This is a catalog data change only, so there is no user flow to walk through beyond the new price entries
Relevant issues
Affected release
Linear ticket
Pre-Submission checklist
Please complete all items before asking a LiteLLM maintainer to review your PR
uv run pytest tests/test_litellm/<your_test_file>.py -v. Leave the suites (make test-unit-*,make test-unit) to CI: it finishes in ~15 minutes where a laptop takes an hour or more@greptileaito re-request a review after pushing changes)Delays in PR merge?
If you're seeing a delay in your PR being merged, ping the LiteLLM Team on Slack (#pr-review).
Screenshots / Proof of Fix
Not applicable to an automated price sync; the per-model values and their source are in the appended sync report
Type
New Feature
Caveats (if any)
Medium
Low
o1,eu/o1,us/o1had no readable input priceQA runbook
Not applicable; this PR does not touch tests or e2e
Final Attestation
Sync report
Updates 20 models (20 new), each read from its provider's own published prices.
Azure
Updates 20 models (20 new) from the provider's pricing page (page
7c69301eee64).Changes
azure_ai/deepseek-r1(new): input_cost_per_token $1.35/1M, max_input_tokens $128000000000/1M, output_cost_per_token $5.4/1M, supports_reasoning true, supports_tool_choice true, supports_vision false (inferred by agent: max_input_tokens (agent: DeepSeek-R1 is a 128K-context model, matching sibling azure_ai/deepseek-v3 entry's 128000 max_input_tokens.), supports_reasoning (agent: DeepSeek-R1 is a reasoning model; azure_ai deepseek-v3.2/v4 reasoning siblings set supports_reasoning true.), supports_tool_choice (agent: All azure_ai DeepSeek entries (v3, v3.2, v4) set supports_tool_choice true.), supports_vision (agent: DeepSeek-R1 is text-only; all azure_ai Phi/DeepSeek text siblings set supports_vision false.); missing: max_output_tokens, max_tokens, supports_function_calling, supports_response_schema, supports_prompt_caching, cache_read_input_token_cost)azure_ai/deepseek-v3-0324(new): input_cost_per_token $1.14/1M, max_input_tokens $163840000000/1M, output_cost_per_token $4.56/1M, supports_function_calling true, supports_reasoning false, supports_response_schema true, supports_vision false (inferred by agent: max_input_tokens (agent: novita/deepseek/deepseek-v3-0324 and fireworks deepseek-v3-0324 both list 163840 input tokens.), supports_function_calling (agent: novita/deepseek/deepseek-v3-0324 and lambda_ai/deepseek-v3-0324 both set supports_function_calling true.), supports_reasoning (agent: No v3-0324 entry (novita, lambda_ai, fireworks) sets supports_reasoning; V3-0324 is a non-reasoning model.), supports_response_schema (agent: novita/deepseek/deepseek-v3-0324 and fireworks deepseek-v3-0324 both set supports_response_schema true.), supports_vision (agent: DeepSeek V3-0324 is a text-only model; no DeepSeek entry sets supports_vision true.); missing: max_output_tokens, max_tokens, supports_tool_choice, supports_prompt_caching, cache_read_input_token_cost)azure_ai/deepseek-v3.1(new): input_cost_per_token $1.23/1M, output_cost_per_token $4.94/1M, supports_function_calling true, supports_prompt_caching true, supports_reasoning true, supports_tool_choice true, supports_vision false (inferred by agent: supports_function_calling (agent: azure_ai/deepseek-v3.2, v3.2-speciale, v4-pro and v4-flash all set supports_function_calling true.), supports_prompt_caching (agent: azure_ai/deepseek-v3.2 and v4 entries set supports_prompt_caching true (DeepSeek context caching).), supports_reasoning (agent: DeepSeek V3.1 is a hybrid thinking model; siblings v3.2 and v4 set supports_reasoning true.), supports_tool_choice (agent: All azure_ai deepseek entries (v3, v3.2, v4) set supports_tool_choice true.), supports_vision (agent: No azure_ai deepseek sibling declares vision; DeepSeek V3.1 is text-only.); missing: max_input_tokens, max_output_tokens, max_tokens, supports_response_schema, cache_read_input_token_cost)azure_ai/grok-3(new): input_cost_per_token $3/1M, max_input_tokens $131072000000/1M, output_cost_per_token $15/1M, supports_function_calling true, supports_response_schema true, supports_tool_choice true (inferred by agent: max_input_tokens (agent: Grok-3's known 131072-token context, matching sibling azure_ai/grok-4 and azure_ai/grok-code-fast-1 entries.), supports_function_calling (agent: All azure_ai grok entries (grok-4, grok-4.3, grok-code-fast-1) set supports_function_calling true.), supports_response_schema (agent: All azure_ai grok entries (grok-4, grok-4.3, grok-code-fast-1) set supports_response_schema true.), supports_tool_choice (agent: All azure_ai grok entries (grok-4, grok-4.1-fast, grok-code-fast-1) set supports_tool_choice true.); missing: max_output_tokens, max_tokens, supports_vision, supports_prompt_caching, supports_reasoning, cache_read_input_token_cost)azure_ai/grok-3-mini(new): input_cost_per_token $0.25/1M, max_input_tokens $131072000000/1M, max_output_tokens $131072000000/1M, max_tokens $131072000000/1M, output_cost_per_token $1.27/1M, supports_function_calling true, supports_reasoning true, supports_response_schema true, supports_tool_choice true (inferred by agent: max_input_tokens (agent: vercel_ai_gateway/xai/grok-3-mini lists 131072 max_input_tokens), max_output_tokens (agent: vercel_ai_gateway/xai/grok-3-mini lists 131072 max_output_tokens), max_tokens (agent: vercel_ai_gateway/xai/grok-3-mini lists 131072 max_tokens), supports_function_calling (agent: vercel_ai_gateway/xai/grok-3-mini and all azure_ai grok entries set supports_function_calling true), supports_reasoning (agent: Grok 3 Mini is xAI's reasoning model exposing reasoning_effort, matching reasoning-capable azure_ai grok siblings), supports_response_schema (agent: All azure_ai grok entries (grok-4, grok-4-1-fast, grok-code-fast-1) set supports_response_schema true), supports_tool_choice (agent: vercel_ai_gateway/xai/grok-3-mini and azure_ai grok siblings set supports_tool_choice true); missing: supports_vision, supports_prompt_caching, cache_read_input_token_cost)azure_ai/grok-4-fast-non-reasoning(new): input_cost_per_token $0.2/1M, output_cost_per_token $0.5/1M, supports_function_calling true, supports_reasoning false, supports_response_schema true, supports_tool_choice true (inferred by agent: supports_function_calling (agent: All azure_ai grok entries (grok-4, grok-4-1-fast-non-reasoning, grok-4-20-non-reasoning) set supports_function_calling true.), supports_reasoning (agent: Non-reasoning grok siblings (grok-4-1-fast-non-reasoning, grok-4-20-non-reasoning) omit supports_reasoning.), supports_response_schema (agent: All azure_ai grok entries set supports_response_schema true.), supports_tool_choice (agent: All azure_ai grok entries set supports_tool_choice true.); missing: max_input_tokens, max_output_tokens, max_tokens, supports_vision, supports_prompt_caching, cache_read_input_token_cost)azure_ai/grok-4-fast-reasoning(new): input_cost_per_token $0.2/1M, output_cost_per_token $0.5/1M, supports_function_calling true, supports_reasoning true, supports_response_schema true, supports_tool_choice true (inferred by agent: supports_function_calling (agent: All azure_ai Grok entries set supports_function_calling true.), supports_reasoning (agent: Named a reasoning variant, matching azure_ai/grok-4-1-fast-reasoning and grok-4-20-reasoning which set supports_reasoning true.), supports_response_schema (agent: All azure_ai Grok entries set supports_response_schema true.), supports_tool_choice (agent: All azure_ai Grok entries set supports_tool_choice true.); missing: max_input_tokens, max_output_tokens, max_tokens, supports_vision, supports_prompt_caching, cache_read_input_token_cost)azure_ai/MAI-Image-2e(new): input_cost_per_token $5/1M (missing: max_input_tokens)azure/eu/gpt-5.1-chat(new): cache_read_input_token_cost $0.1375/1M, input_cost_per_token $1.375/1M, output_cost_per_token $11/1M, supports_function_calling true, supports_prompt_caching true, supports_response_schema true, supports_tool_choice true, supports_vision true (inferred by agent: supports_function_calling (agent: All azure gpt-5.1 and gpt-5.1-codex entries set supports_function_calling true.), supports_prompt_caching (agent: All azure/openai gpt-5.1 entries set supports_prompt_caching true.), supports_response_schema (agent: All azure/openai gpt-5.1 entries set supports_response_schema true.), supports_tool_choice (agent: All azure gpt-5.1 and gpt-5.1-codex entries set supports_tool_choice true.), supports_vision (agent: All azure/openai gpt-5.1 entries set supports_vision true.); missing: max_input_tokens, max_output_tokens, max_tokens, supports_reasoning)azure/eu/gpt-5.2-chat(new): cache_read_input_token_cost $0.1925/1M, input_cost_per_token $1.925/1M, max_input_tokens $128000000000/1M, output_cost_per_token $15.4/1M, supports_function_calling true, supports_prompt_caching true, supports_reasoning false, supports_response_schema true, supports_tool_choice true, supports_vision true (inferred by agent: max_input_tokens (agent: openrouter/openai/gpt-5.2-chat lists 128000 max_input_tokens for the same chat variant.), supports_function_calling (agent: openrouter/openai/gpt-5.2-chat and all azure/gpt-5.2 siblings set supports_function_calling true.), supports_prompt_caching (agent: openrouter/openai/gpt-5.2-chat and azure/gpt-5.2 set supports_prompt_caching true.), supports_reasoning (agent: openrouter/openai/gpt-5.2-chat sets supports_reasoning false for the non-reasoning chat variant.), supports_response_schema (agent: openrouter/openai/gpt-5.2-chat and azure/gpt-5.2 set supports_response_schema true.), supports_tool_choice (agent: openrouter/openai/gpt-5.2-chat and azure/gpt-5.2 set supports_tool_choice true.), supports_vision (agent: openrouter/openai/gpt-5.2-chat and all gpt-5.2 siblings set supports_vision true.); missing: max_output_tokens, max_tokens)azure/eu/gpt-5.3-chat(new): cache_read_input_token_cost $0.1925/1M, input_cost_per_token $1.925/1M, max_input_tokens $128000000000/1M, max_output_tokens $64000000000/1M, max_tokens $64000000000/1M, output_cost_per_token $15.4/1M, supports_function_calling true, supports_prompt_caching true, supports_response_schema true, supports_tool_choice true, supports_vision true (inferred by agent: max_input_tokens (agent: chatgpt/gpt-5.3-chat-latest, same gpt-5.3-chat family on another provider, lists 128000 input tokens.), max_output_tokens (agent: chatgpt/gpt-5.3-chat-latest lists 64000 max output tokens.), max_tokens (agent: chatgpt/gpt-5.3-chat-latest lists max_tokens 64000.), supports_function_calling (agent: chatgpt/gpt-5.3-chat-latest and all azure gpt-5.x entries set supports_function_calling true.), supports_prompt_caching (agent: All azure gpt-5.x entries set supports_prompt_caching true, consistent with the given cache_read_input_token_cost.), supports_response_schema (agent: chatgpt/gpt-5.3-chat-latest and azure gpt-5.x siblings set supports_response_schema true.), supports_tool_choice (agent: All azure gpt-5.x siblings (gpt-5.3-codex, gpt-5.4, gpt-5.5, gpt-5.6) set supports_tool_choice true.), supports_vision (agent: chatgpt/gpt-5.3-chat-latest and azure gpt-5.3-codex set supports_vision true.); missing: supports_reasoning)azure/eu/o1-preview(new): cache_read_input_token_cost $8.25/1M, input_cost_per_token $16.5/1M, max_input_tokens $128000000000/1M, max_output_tokens $32768000000/1M, max_tokens $32768000000/1M, output_cost_per_token $66/1M, supports_prompt_caching true, supports_reasoning true, supports_vision false (inferred by agent: max_input_tokens (agent: o1-preview is well known to have a 128k context window, matching azure/o1-mini siblings' 128000 max_input_tokens.), max_output_tokens (agent: o1-preview's documented max completion tokens is 32,768 (lower than o1-mini's 65,536).), max_tokens (agent: Sibling azure o1 entries set max_tokens equal to max_output_tokens; o1-preview's is 32,768.), supports_prompt_caching (agent: All azure o1/o3/o4 sibling entries set supports_prompt_caching true.), supports_reasoning (agent: o1-preview is an OpenAI reasoning model, like azure/o1-mini and azure/o1 which set supports_reasoning true.), supports_vision (agent: o1-preview is text-only, like azure/o1-mini and azure/o3-mini which set supports_vision false.); missing: supports_function_calling, supports_tool_choice, supports_response_schema)azure/gpt-5-chat(new): cache_read_input_token_cost $0.125/1M, input_cost_per_token $1.25/1M, output_cost_per_token $10/1M (missing: max_input_tokens, max_output_tokens, max_tokens, supports_function_calling, supports_tool_choice, supports_vision, supports_response_schema, supports_prompt_caching, supports_reasoning)azure/gpt-5.1-chat(new): cache_read_input_token_cost $0.125/1M, input_cost_per_token $1.25/1M, output_cost_per_token $10/1M, supports_function_calling true, supports_prompt_caching true, supports_response_schema true, supports_tool_choice true, supports_vision true (inferred by agent: supports_function_calling (agent: All gpt-5.1 entries (openai gpt-5.1, azure/gpt-5.1-2025-11-13, openrouter gpt-5.1) set supports_function_calling true.), supports_prompt_caching (agent: azure/gpt-5.1-2025-11-13 and openrouter/openai/gpt-5.1 both set supports_prompt_caching true.), supports_response_schema (agent: All gpt-5.1 family entries across openai, azure and openrouter set supports_response_schema true.), supports_tool_choice (agent: azure/gpt-5.1-2025-11-13 and openrouter/openai/gpt-5.1 both set supports_tool_choice true.), supports_vision (agent: All gpt-5.1 family entries across openai, azure and openrouter set supports_vision true.); missing: max_input_tokens, max_output_tokens, max_tokens, supports_reasoning)azure/gpt-5.2-chat(new): cache_read_input_token_cost $0.175/1M, input_cost_per_token $1.75/1M, output_cost_per_token $14/1M, supports_function_calling true, supports_prompt_caching true, supports_reasoning false, supports_response_schema true, supports_tool_choice true, supports_vision true (inferred by agent: supports_function_calling (agent: openrouter/openai/gpt-5.2-chat and all azure/gpt-5.2* entries set supports_function_calling true.), supports_prompt_caching (agent: openrouter/openai/gpt-5.2-chat and azure/gpt-5.2 set supports_prompt_caching true, consistent with the given cache read price.), supports_reasoning (agent: openrouter/openai/gpt-5.2-chat, the same chat variant on another provider, sets supports_reasoning false.), supports_response_schema (agent: openrouter/openai/gpt-5.2-chat and azure/gpt-5.2 set supports_response_schema true.), supports_tool_choice (agent: openrouter/openai/gpt-5.2-chat and azure/gpt-5.2 set supports_tool_choice true.), supports_vision (agent: openrouter/openai/gpt-5.2-chat and all azure/gpt-5.2 entries set supports_vision true.); missing: max_input_tokens, max_output_tokens, max_tokens)azure/gpt-5.3-chat(new): cache_read_input_token_cost $0.175/1M, input_cost_per_token $1.75/1M, max_input_tokens $128000000000/1M, max_output_tokens $64000000000/1M, max_tokens $64000000000/1M, output_cost_per_token $14/1M, supports_function_calling true, supports_response_schema true, supports_vision true (inferred by agent: max_input_tokens (agent: chatgpt/gpt-5.3-chat-latest, the same chat model on another provider, lists 128000 input tokens.), max_output_tokens (agent: chatgpt/gpt-5.3-chat-latest lists max_output_tokens 64000.), max_tokens (agent: chatgpt/gpt-5.3-chat-latest lists max_tokens 64000.), supports_function_calling (agent: chatgpt/gpt-5.3-chat-latest and all azure gpt-5.x entries set supports_function_calling true.), supports_response_schema (agent: chatgpt/gpt-5.3-chat-latest and all azure gpt-5.x entries set supports_response_schema true.), supports_vision (agent: chatgpt/gpt-5.3-chat-latest and all azure gpt-5.x entries set supports_vision true.); missing: supports_tool_choice, supports_prompt_caching, supports_reasoning)azure/us/gpt-5.1-chat(new): cache_read_input_token_cost $0.1375/1M, input_cost_per_token $1.375/1M, output_cost_per_token $11/1M, supports_function_calling true, supports_prompt_caching true, supports_response_schema true, supports_tool_choice true, supports_vision true (inferred by agent: supports_function_calling (agent: All azure/openai gpt-5.1 and gpt-5.1-codex entries set supports_function_calling true.), supports_prompt_caching (agent: azure/gpt-5.1-2025-11-13 and openrouter gpt-5.1 entries set supports_prompt_caching true.), supports_response_schema (agent: Every gpt-5.1 family entry sets supports_response_schema true.), supports_tool_choice (agent: azure/gpt-5.1-2025-11-13 and all gpt-5.1 siblings set supports_tool_choice true.), supports_vision (agent: Every gpt-5.1 family entry across azure, openai and openrouter sets supports_vision true.); missing: max_input_tokens, max_output_tokens, max_tokens, supports_reasoning)azure/us/gpt-5.2-chat(new): cache_read_input_token_cost $0.1925/1M, input_cost_per_token $1.925/1M, output_cost_per_token $15.4/1M, supports_function_calling true, supports_prompt_caching true, supports_reasoning false, supports_response_schema true, supports_tool_choice true, supports_vision true (inferred by agent: supports_function_calling (agent: openrouter/openai/gpt-5.2-chat and all azure gpt-5.2 entries set supports_function_calling true.), supports_prompt_caching (agent: openrouter/openai/gpt-5.2-chat and azure/gpt-5.2 set supports_prompt_caching true, and a cache read price is given.), supports_reasoning (agent: openrouter/openai/gpt-5.2-chat, the same chat variant family, sets supports_reasoning false.), supports_response_schema (agent: openrouter/openai/gpt-5.2-chat and azure/gpt-5.2 set supports_response_schema true.), supports_tool_choice (agent: openrouter/openai/gpt-5.2-chat and azure/gpt-5.2 set supports_tool_choice true.), supports_vision (agent: openrouter/openai/gpt-5.2-chat and azure/gpt-5.2 set supports_vision true.); missing: max_input_tokens, max_output_tokens, max_tokens)azure/us/gpt-5.3-chat(new): cache_read_input_token_cost $0.1925/1M, input_cost_per_token $1.925/1M, max_output_tokens $64000000000/1M, max_tokens $64000000000/1M, output_cost_per_token $15.4/1M, supports_function_calling true, supports_prompt_caching true, supports_response_schema true, supports_tool_choice true, supports_vision true (inferred by agent: max_output_tokens (agent: chatgpt/gpt-5.3-chat-latest lists max_output_tokens 64000 for the same gpt-5.3-chat model.), max_tokens (agent: chatgpt/gpt-5.3-chat-latest lists max_tokens 64000 for the same gpt-5.3-chat model.), supports_function_calling (agent: chatgpt/gpt-5.3-chat-latest and all gpt-5.3/5.4/5.6 Azure siblings set supports_function_calling true.), supports_prompt_caching (agent: A cache_read_input_token_cost is given and all Azure gpt-5.x siblings set supports_prompt_caching true.), supports_response_schema (agent: chatgpt/gpt-5.3-chat-latest and all Azure gpt-5.x siblings set supports_response_schema true.), supports_tool_choice (agent: azure/gpt-5.3-codex and openrouter gpt-5.3-codex set supports_tool_choice true.), supports_vision (agent: chatgpt/gpt-5.3-chat-latest and all Azure gpt-5.x siblings set supports_vision true.); missing: max_input_tokens, supports_reasoning)azure/us/o1-preview(new): cache_read_input_token_cost $8.25/1M, input_cost_per_token $16.5/1M, max_input_tokens $128000000000/1M, max_output_tokens $32768000000/1M, max_tokens $32768000000/1M, output_cost_per_token $66/1M, supports_prompt_caching true, supports_reasoning true, supports_vision false (inferred by agent: max_input_tokens (agent: o1-preview is well known to have a 128k context window, consistent with sibling azure o1-mini entries (128000).), max_output_tokens (agent: o1-preview's documented max completion tokens is 32768 (lower than o1-mini's 65536).), max_tokens (agent: Matches max_output_tokens convention used in azure o1 entries where max_tokens equals output limit.), supports_prompt_caching (agent: All azure o1/o1-mini entries in catalog set supports_prompt_caching true, and a cache read price is given.), supports_reasoning (agent: azure/o1-mini and azure/o1 entries set supports_reasoning true; o1-preview is a reasoning model.), supports_vision (agent: azure/us/o1-mini-2024-09-12 and azure/o1-mini set supports_vision false; o1-preview is text-only.); missing: supports_function_calling, supports_tool_choice, supports_response_schema)Skipped by the parser (3)
These rows price models litellm has keys for, but the parser could not read them. A human needs to check them against the page.
eu/o1: emitted model has no input_cost_per_tokeno1: emitted model has no input_cost_per_tokenus/o1: emitted model has no input_cost_per_tokenNo litellm key or field (34)
Rows the page prices that litellm has no key or field for. Nothing to apply; listed so the omission is deliberate, not missed.
5.2 chat 0210: no map entry; example meter 5.2 chat 0210 inp Gl 1M Tokens; no map entry; example meter 5.2 chat 0210 inp Dz 1M Tokens; no map entry; example meter 5.2 chat 0210 opt Gl 1M Tokens; no map entry; example meter 5.2 chat 0210 cd inp Gl 1M Tokens; no map entry; example meter 5.2 chat 0210 cd inp Dz 1M Tokens; no map entry; example meter 5.2 chat 0210 opt Dz 1M TokensCode 1.1 Flash: no map entry; example meter Code 1.1 Flash Output Glbl 1M Tokens; no map entry; example meter Code 1.1 Flash Input glbl 1M Tokens; no map entry; example meter Code 1.1 Flash Cd Input glbl 1M TokensCommand A Plus: no map entry; example meter Command A Plus Inp DZ 1M Tokens; no map entry; example meter Command A Plus Outp Glbl 1M Tokens; no map entry; example meter Command A Plus Inp Glbl 1M Tokens; no map entry; example meter Command A Plus Outp DZ 1M TokensFW Deepseek v4 Flash: no map entry; example meter FW Deepseek-v4-Flash In DZ Tokens; no map entry; example meter FW Deepseek-v4-Flash Cd In DZ Tokens; no map entry; example meter FW Deepseek-v4-Flash Opt DZ TokensFW DS V4.1 Flash: no map entry; example meter FW DS-V4.1-Flash Gl Inp Tokens; no map entry; example meter FW DS-V4.1-Flash Gl Cd Inp Tokens; no map entry; example meter FW DS-V4.1-Flash Gl Opt TokensFW GLM 5.3: no map entry; example meter FW GLM 5.3 Cd Inp Tokens; no map entry; example meter FW GLM 5.3 DZ Cd Inp Tokens; no map entry; example meter FW GLM 5.3 Opt Tokens; no map entry; example meter FW GLM 5.3 DZ Inp Tokens; no map entry; example meter FW GLM 5.3 Inp Tokens; no map entry; example meter FW GLM 5.3 DZ Opt TokensFW GLM 5.3 Flash: no map entry; example meter FW GLM-5.3-Flash Gl Inp Tokens; no map entry; example meter FW GLM-5.3-Flash Gl Opt Tokens; no map entry; example meter FW GLM-5.3-Flash Gl Cd Inp TokensFW GPT OSS 120B: no map entry; example meter FW GPT OSS 120B Inp DZ Tokens; no map entry; example meter FW GPT OSS 120B Outp DZ Tokens; no map entry; example meter FW GPT OSS 120B Cache Inp DZ Tokensgpt 4o mini0718 BatchOutp: no map entry; example meter gpt 4o mini0718 BatchOutp DataZone Tokensgpt4o realtimePrvwAudInp: no map entry; example meter gpt4o realtimePrvwAudInp DataZone Tokensgpt4o realtimePrvwAudOutp: no map entry; example meter gpt4o realtimePrvwAudOutp DataZone Tokensgpt4o realtimePrvwTxtInp: no map entry; example meter gpt4o realtimePrvwTxtInp DataZone Tokensgpt4o realtimePrvwTxtOutp: no map entry; example meter gpt4o realtimePrvwTxtOutp DataZone Tokensgpt4omini aud1217: no map entry; example meter gpt4omini-aud1217 Inp glbl Tokens; no map entry; example meter gpt4omini-aud1217 Outp regnl Tokens; no map entry; example meter gpt4omini-aud1217 Inp regnl Tokens; no map entry; example meter gpt4omini-aud1217 Outp glbl Tokens; no map entry; example meter gpt4omini-aud1217 Inp DZone Tokens; no map entry; example meter gpt4omini-aud1217 Outp DZone Tokensgpt4omini aud1217 txt: no map entry; example meter gpt4omini-aud1217-txt Inp DZone Tokens; no map entry; example meter gpt4omini-aud1217-txt Outp DZone Tokens; no map entry; example meter gpt4omini-aud1217-txt Outp regnl Tokens; no map entry; example meter gpt4omini-aud1217-txt Inp glbl Tokens; no map entry; example meter gpt4omini-aud1217-txt Outp glbl Tokens; no map entry; example meter gpt4omini-aud1217-txt Inp regnl TokensK2 Thinking: no map entry; example meter K2 Thinking Outp glbl Tokens; no map entry; example meter K2 Thinking Inp glbl Tokens; no map entry; example meter K2 Thinking Outp DZ Tokens; no map entry; example meter K2 Thinking Inp DZ TokensMAI Cyber 1 Flash: no map entry; example meter MAI-Cyber-1-Flash Inp glbl 1M Tokens; no map entry; example meter MAI-Cyber-1-Flash Cd Inp glbl 1M Tokens; no map entry; example meter MAI-Cyber-1-Flash Opt glbl 1M TokensMM3.5: no map entry; example meter MM3.5 Inp glbl Tokens; no map entry; example meter MM3.5 Outp glbl Tokens; no map entry; example meter MM3.5 Inp DZ Tokens; no map entry; example meter MM3.5 Outp DZ TokensModel 6: no map entry; example meter Model 6 Outp glbl Tokens; no map entry; example meter Model 6 Outp DZ TokensModel 7: no map entry; example meter Model 7 Outp glbl Tokens; no map entry; example meter Model 7 Inp DZ Tokens; no map entry; example meter Model 7 Inp glbl Tokens; no map entry; example meter Model 7 Outp DZ Tokenso1 pro: no map entry; example meter o1-pro Batch Inp Data Zone Tokens; no map entry; example meter o1-pro Batch Inp glbl Tokens; no map entry; example meter o1-pro Inp Data Zone Tokens; no map entry; example meter o1-pro Batch Outp glbl Tokens; no map entry; example meter o1-pro Batch Outp Data Zone Tokens; no map entry; example meter o1-pro Outp glbl Tokens; no map entry; example meter o1-pro Outp Data Zone Tokens; no map entry; example meter o1-pro Outp regnl Tokens; no map entry; example meter o1-pro Inp regnl Tokens; no map entry; example meter o1-pro Inp glbl TokensPhi 4 reasoning plus: no map entry; example meter Phi-4-reasoning-plus-input Tokens; no map entry; example meter Phi-4-reasoning-plus-output Tokensgpt-4o: retirement date differs by versiongpt-4o-mini-transcribe: retirement date differs by versiongpt-4o-mini-tts: retirement date differs by versiongpt-5-chat: retirement date differs by versiongpt-5.2-chat: retirement date differs by versiongpt-audio-mini: retirement date differs by versiongpt-chat-latest: retirement date differs by versiongpt-realtime-mini-2025-10-06: conflicting retirement datesgpt-realtime-mini-2025-12-15: conflicting retirement datesgpt-realtime-mini: retirement date differs by versionsora-2: retirement date differs by versionazure_ai/model-router: retirement date differs by version271 rows the source lists without a serverless token price (dedicated or unpriced models) were not read.
Opened by the litellm-providers price sync. Every price is read from the provider's own published source and gated before it is applied; the audit trail for each value is in the portal's sync history.
Note
Low Risk
Catalog-only JSON updates for cost tracking; incorrect token prices or limits could skew spend estimates but do not change auth or request handling.
Overview
Extends LiteLLM’s cost and context catalog with new Azure / Azure AI model keys in
model_prices_and_context_window.jsonand its backup copy—no changes to runtime routing or existing model prices.The bulk of the diff adds ~20 automated sync rows from Azure’s Foundry Models retail API: DeepSeek, Grok, regional GPT-5.x chat and o1-preview variants (
azure/,azure/eu/,azure/us/), plusazure_ai/MAI-Image-2e(embedding). A follow-up session adds four partner Foundry entries with fuller metadata:FW-DeepSeek-V4.1-Flash,FW-GLM-5.3,FW-GLM-5.3-Flash, andCohere-command-a-plus-05-2026.Entries include per-token input/output (and cache-read where known), context limits, capability flags, deprecation dates when documented, and a
sourceURL. Several sync rows still omit fields or infer capabilities from sibling models, as noted in the PR sync report.Reviewed by Cursor Bugbot for commit 2704168. Bugbot is set up for automated code reviews on this repo. Configure here.
Session additions
A path 2 session added four Azure partner entries verified against the Foundry Models retail feed and smoke tested through litellm with a temporary eastus2 deployment:
azure_ai/FW-DeepSeek-V4.1-Flash,azure_ai/FW-GLM-5.3,azure_ai/FW-GLM-5.3-Flashandazure_ai/Cohere-command-a-plus-05-2026. Prices come from https://prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20'Foundry%20Models'%20and%20armRegionName%20eq%20'eastus'%20and%20priceType%20eq%20'Consumption' (metersFW DS-V4.1-Flash Gl *,FW GLM 5.3 *,FW GLM-5.3-Flash Gl *,Command A Plus * Glbl 1M Tokens). Context lengths for the Fireworks models come from https://api.fireworks.ai/inference/v1/models, the Cohere limits and retirement date from https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure and https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/model-retirement-scheduleLink to Devin session: https://app.devin.ai/sessions/4f42b9c89b2a4aeba41004b26502ff02
Open in Devin Desktop: https://app.devin.ai/desktop/session/4f42b9c89b2a4aeba41004b26502ff02?variant=devin