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Change Log

October 20, 2026

New Models on Chat Completion V2 and Responses

New open-weight models are available on POST /v2/chat/completions and POST /v2/responses.

Generally available:

  • glm5.3-flash: a faster GLM-5.3 with image input, log probabilities, and n > 1. Reasons by default. 1,048,576-token context.

In beta:

  • deepseekv4.1-flash-1017: DeepSeek V4.1 Flash 1017, low-cost reasoning with image input for long documents and agents. Reasons at high by default; reasoning_effort: "none" turns thinking off. 1,048,576-token context.
  • deepseekv4-pro: the larger DeepSeek V4 model for text, with tool calling and structured output. Reasons at high by default; reasoning_effort: "none" turns thinking off. 1,000,000-token context.
  • kimi-k3: always-on reasoning with image input and short video clips (beta), sent as base64. 1,048,576-token context.
  • mimo-v2.6-flash: the lowest-cost open-weight model, with image, audio, and video input (base64; video on chat only), tool calling, and structured output. Reasons by default; reasoning_effort: "none" turns thinking off. 1,048,576-token context.
  • mimo-v2.6-pro: the larger MiMo V2.6 model, with the same API behaviour as MiMo V2.6 Flash. 1,048,576-token context.

All models take images, audio, and video as inline base64 data URIs; remote media URLs return 400. Requests can be up to 40 MiB on kimi-k3 and the MiMo models, and 10 MiB on other models.

See Beta models.

Chat Completion V2 and Responses Are Generally Available

POST /v2/chat/completions and POST /v2/responses are now generally available with sarvam-105b, glm5.3, glm5.3-flash, and gemma4. Your API key no longer needs to be whitelisted. The new models in the entry above are in beta; see Beta models.