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.
kimi-k3 vs laguna-s-2.1-free
Context lengths are 1,048,576 tokens on kimi-k3 and 262,144 tokens on laguna-s-2.1-free.
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.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
How large is each context window?
kimi-k3 accepts 1,048,576 and laguna-s-2.1-free accepts 262,144 input tokens.
What inputs and capabilities does each model support?
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.
Can I call kimi-k3 and laguna-s-2.1-free with the same API key?
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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