Context lengths are 262,144 tokens on Gemma 4 26B A4B It (free) and 1,048,576 tokens on Kimi K3.
Gemma 4 26B A4B It (free)
Kimi K3Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model developed by Google DeepMind. Featuring an expansive context length of 262,144 tokens, it delivers near-31B quality with highly efficient inference. Despite its 25.2B total parameters, only 3.8B are activated per token, making it an incredibly fast and cost-effective solution.
Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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Gemma 4 26B A4B It (free) accepts 262,144 and Kimi K3 accepts 1,048,576 input tokens.
Gemma 4 26B A4B It (free) accepts text and image input and supports reasoning, tool calling and long context; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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