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fix: correct wandb model prices (off by ~100,000x) #23521

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fix: correct wandb model prices (off by ~100,000x) #23521

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75 changes: 31 additions & 44 deletions litellm/model_prices_and_context_window_backup.json
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Original file line number Diff line number Diff line change
Expand Up @@ -14527,17 +14527,14 @@
"uses_embed_content": true
},
"vertex_ai/gemini-embedding-2-preview": {
"input_cost_per_audio_per_second": 0.00016,
"input_cost_per_image": 0.00012,
"input_cost_per_token": 2e-07,
"input_cost_per_video_per_second": 0.00079,
"input_cost_per_token": 1.5e-07,
"litellm_provider": "vertex_ai",
"max_input_tokens": 8192,
"max_tokens": 8192,
"mode": "embedding",
"output_cost_per_token": 0,
"output_vector_size": 3072,
"source": "https://cloud.google.com/vertex-ai/generative-ai/pricing",
"source": "https://ai.google.dev/gemini-api/docs/embeddings#multimodal",
"supports_multimodal": true,
"uses_embed_content": true
},
Comment on lines 14529 to 14540

@greptile-apps greptile-apps Bot Mar 13, 2026

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Unrelated change removes multimodal pricing for vertex_ai/gemini-embedding-2-preview

This PR's stated purpose is to fix wandb model pricing, but this hunk also overwrites the vertex_ai/gemini-embedding-2-preview entry in a way that drops the multimodal cost fields that were present before:

"input_cost_per_audio_per_second": 0.00016,
"input_cost_per_image": 0.00012,
"input_cost_per_video_per_second": 0.00079,

It also changes the input_cost_per_token from 2e-07 (sourced from Google Cloud Vertex AI pricing) to 1.5e-07 (sourced from the Gemini API docs) and points the source URL to the Gemini API documentation instead of the Vertex AI pricing page. For a vertex_ai/-prefixed model entry, the Vertex AI pricing source is the authoritative reference. Removing the audio/image/video cost fields could silently cause zero-cost billing for multimodal embedding calls on Vertex AI.

Please confirm whether these changes are intentional and, if so, document the reasoning. If they were accidentally included (e.g. picked up from a rebase/merge), consider reverting them to keep this PR focused.

Expand All @@ -14554,18 +14551,6 @@
"source": "https://cloud.google.com/vertex-ai/generative-ai/pricing",
"uses_embed_content": true
},
"vertex_ai/gemini-embedding-2-preview": {
"input_cost_per_token": 1.5e-07,
"litellm_provider": "vertex_ai",
"max_input_tokens": 8192,
"max_tokens": 8192,
"mode": "embedding",
"output_cost_per_token": 0,
"output_vector_size": 3072,
"source": "https://ai.google.dev/gemini-api/docs/embeddings#multimodal",
"supports_multimodal": true,
"uses_embed_content": true
},
"gemini/gemini-embedding-001": {
"input_cost_per_token": 1.5e-07,
"litellm_provider": "gemini",
Expand Down Expand Up @@ -30938,7 +30923,9 @@
"mode": "chat",
"output_cost_per_token": 3.2e-06,
"source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#glm-models",
"supported_regions": ["global"],
"supported_regions": [
"global"
],
"supports_function_calling": true,
"supports_prompt_caching": true,
"supports_reasoning": true,
Expand Down Expand Up @@ -31438,53 +31425,53 @@
"max_tokens": 131072,
"max_input_tokens": 131072,
"max_output_tokens": 131072,
"input_cost_per_token": 0.015,
"output_cost_per_token": 0.06,
"input_cost_per_token": 1.5e-07,
"output_cost_per_token": 6e-07,
"litellm_provider": "wandb",
"mode": "chat"
},
"wandb/openai/gpt-oss-20b": {
"max_tokens": 131072,
"max_input_tokens": 131072,
"max_output_tokens": 131072,
"input_cost_per_token": 0.005,
"output_cost_per_token": 0.02,
"input_cost_per_token": 5e-08,
"output_cost_per_token": 2e-07,
"litellm_provider": "wandb",
"mode": "chat"
},
"wandb/zai-org/GLM-4.5": {
"max_tokens": 131072,
"max_input_tokens": 131072,
"max_output_tokens": 131072,
"input_cost_per_token": 0.055,
"output_cost_per_token": 0.2,
"input_cost_per_token": 5.5e-07,
"output_cost_per_token": 2e-06,
"litellm_provider": "wandb",
"mode": "chat"
},
"wandb/Qwen/Qwen3-235B-A22B-Instruct-2507": {
"max_tokens": 262144,
"max_input_tokens": 262144,
"max_output_tokens": 262144,
"input_cost_per_token": 0.01,
"output_cost_per_token": 0.01,
"input_cost_per_token": 1e-07,
"output_cost_per_token": 1e-07,
"litellm_provider": "wandb",
"mode": "chat"
},
"wandb/Qwen/Qwen3-Coder-480B-A35B-Instruct": {
"max_tokens": 262144,
"max_input_tokens": 262144,
"max_output_tokens": 262144,
"input_cost_per_token": 0.1,
"output_cost_per_token": 0.15,
"input_cost_per_token": 1e-06,
"output_cost_per_token": 1.5e-06,
"litellm_provider": "wandb",
"mode": "chat"
},
"wandb/Qwen/Qwen3-235B-A22B-Thinking-2507": {
"max_tokens": 262144,
"max_input_tokens": 262144,
"max_output_tokens": 262144,
"input_cost_per_token": 0.01,
"output_cost_per_token": 0.01,
"input_cost_per_token": 1e-07,
"output_cost_per_token": 1e-07,
"litellm_provider": "wandb",
"mode": "chat"
},
Expand All @@ -31501,62 +31488,62 @@
"max_tokens": 128000,
"max_input_tokens": 128000,
"max_output_tokens": 128000,
"input_cost_per_token": 0.022,
"output_cost_per_token": 0.022,
"input_cost_per_token": 2.2e-07,
"output_cost_per_token": 2.2e-07,
"litellm_provider": "wandb",
"mode": "chat"
},
"wandb/deepseek-ai/DeepSeek-V3.1": {
"max_tokens": 128000,
"max_input_tokens": 128000,
"max_output_tokens": 128000,
"input_cost_per_token": 0.055,
"output_cost_per_token": 0.165,
"input_cost_per_token": 5.5e-07,
"output_cost_per_token": 1.65e-06,
"litellm_provider": "wandb",
"mode": "chat"
},
"wandb/deepseek-ai/DeepSeek-R1-0528": {
"max_tokens": 161000,
"max_input_tokens": 161000,
"max_output_tokens": 161000,
"input_cost_per_token": 0.135,
"output_cost_per_token": 0.54,
"input_cost_per_token": 1.35e-06,
"output_cost_per_token": 5.4e-06,
"litellm_provider": "wandb",
"mode": "chat"
},
"wandb/deepseek-ai/DeepSeek-V3-0324": {
"max_tokens": 161000,
"max_input_tokens": 161000,
"max_output_tokens": 161000,
"input_cost_per_token": 0.114,
"output_cost_per_token": 0.275,
"input_cost_per_token": 1.14e-06,
"output_cost_per_token": 2.75e-06,
"litellm_provider": "wandb",
"mode": "chat"
},
"wandb/meta-llama/Llama-3.3-70B-Instruct": {
"max_tokens": 128000,
"max_input_tokens": 128000,
"max_output_tokens": 128000,
"input_cost_per_token": 0.071,
"output_cost_per_token": 0.071,
"input_cost_per_token": 7.1e-07,
"output_cost_per_token": 7.1e-07,
"litellm_provider": "wandb",
"mode": "chat"
},
"wandb/meta-llama/Llama-4-Scout-17B-16E-Instruct": {
"max_tokens": 64000,
"max_input_tokens": 64000,
"max_output_tokens": 64000,
"input_cost_per_token": 0.017,
"output_cost_per_token": 0.066,
"input_cost_per_token": 1.7e-07,
"output_cost_per_token": 6.6e-07,
"litellm_provider": "wandb",
"mode": "chat"
},
"wandb/microsoft/Phi-4-mini-instruct": {
"max_tokens": 128000,
"max_input_tokens": 128000,
"max_output_tokens": 128000,
"input_cost_per_token": 0.008,
"output_cost_per_token": 0.035,
"input_cost_per_token": 8e-08,
"output_cost_per_token": 3.5e-07,
"litellm_provider": "wandb",
"mode": "chat"
},
Expand Down