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MiniMax should not use OpenAi endpoints but Anthropic endpoints to preserve thinking!
It's also what their engineers suggest using as their model performance is significantly better with the anthropic endpoint.
Therefore, if this is using OpenAI endpoints, it should not be merged and used.

Sadly, RooCode merged this suggestion today. I can only warn against the usage of this implementation.
Minimax is stating clearly on their Twitter that the OpenAI endpoints should only be used if one doesn't have any other option. And I can only second this; I tried both, and the difference is night and day between their anthropic endpoint on the OpenAI completion API endpoint.
People will have a subpar model experience with this implementation as its using OpenAI Completition API.

@chrarnoldus @secondsky

• The latest version of roocode already includes this provider and related models.
• In practice, it works very well, and its stability is comparable to deepseek, far surpassing ZAI's GLM-4.6.
• This matter shouldn't remain stagnant just because it's not perfect.

@nokaka there's no stagnation, support for MiniMax as a provider will be released shortly.

@chrarnoldus @secondsky

• The latest version of roocode already includes this provider and related models.
• In practice, it works very well, and its stability is comparable to deepseek, far surpassing ZAI's GLM-4.6.
• This matter shouldn't remain stagnant just because it's not perfect.

The implementation, at least in Cline (cant speak for Roo), is like this and useless. The degradation of performance is absolutely noticeable if OpenApi is used. So if it works well in Roo, it means they did a proper anthropic API support.

Kilo works with MiniMax lead engineer to bring a proper anthropic api implementation.
There will also be a Coding Plan like for GLM at some point.
So please be patient or use another option.

@chrarnoldus @secondsky

• The latest version of roocode already includes this provider and related models.
• In practice, it works very well, and its stability is comparable to deepseek, far surpassing ZAI's GLM-4.6.
• This matter shouldn't remain stagnant just because it's not perfect.

The implementation, at least in Cline (cant speak for Roo), is like this and useless. The degradation of performance is absolutely noticeable if OpenApi is used. So if it works well in Roo, it means they did a proper anthropic API support.

Kilo works with MiniMax lead engineer to bring a proper anthropic api implementation. There will also be a Coding Plan like for GLM at some point. So please be patient or use another option.

Hi
What about Roo Code? Are they planning to transition to an Anthropic API implementation?

If Roo Code allows users to select custom models—including MiniMax’s M2—within the Anthropic API framework, we could simply update the base URL to point to MiniMax, and everything would work as expected.

The Minimax provider has added a model option and prompt caching.

Model Description Input Output Prompt caching Read Prompt caching Write
MiniMax-M2 Limited-time Free $0.3 / M tokens $1.2 / M tokens $0.03 / M tokens $0.375 / M tokens
MiniMax-M2-Stable High Concurrency, Commercial Use $0.3 / M tokens $1.2 / M tokens $0.03 / M tokens $0.375 / M tokens
https://platform.minimax.io/docs/guides/pricing https://platform.minimax.io/docs/api-reference/text-openai-api https://platform.minimax.io/docs/api-reference/text-anthropic-api

RooCodeInc/Roo-Code#9072

Thanks , already updated!

Now, MiniMax Provider supports the Anthropic format and interleaved thinking @chrarnoldus Could you please help review my code when you have a moment? Thank you so much!

@Maosghoul Could you please add the anthropic API to MiniMax in the roo code as well? Thank you very much.

@Maosghoul Could you please add the anthropic API to MiniMax in the roo code as well? Thank you very much.

ooook, i will add later~