Compare Kimi K3 from Moonshot AI and Laguna S 2.1 (free) from Poolside on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Kimi K3
Laguna S 2.1 (free)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.
Laguna S 2.1 is the latest coding agent model from Poolside, featuring an impressive context length of 262,144 tokens. This model is built with 118B total parameters and 8B active parameters, balancing efficiency with high performance. It delivers strong capabilities for developer tasks, scoring 70.2% on the Terminal-Bench 2.1 benchmark.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
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Monthly = daily × 30. Discounted rates applied where a promotion is active.
Kimi K3 accepts 1,048,576 and Laguna S 2.1 (free) accepts 262,144 input tokens.
Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs; Laguna S 2.1 (free) accepts text input and supports reasoning, tool calling and long context.
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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