Context lengths are 262,144 tokens on Gemma 4 31B It (free) and 1,048,576 tokens on Kimi K3.
Gemma 4 31B It (free)
Kimi K3Gemma 4 31B Instruct is a 30.7B dense multimodal model developed by Google DeepMind that supports both text and image inputs with text outputs. It features an expansive 256K token context window alongside a configurable thinking and reasoning mode. The model also includes native function support to streamline complex tasks.
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 31B It (free) accepts 262,144 and Kimi K3 accepts 1,048,576 input tokens.
Gemma 4 31B 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.
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