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 lfm-2.5-2.6b-free
Context windows are 1,048,576 tokens on kimi-k3 and 128,000 tokens on lfm-2.5-2.6b-free.
LFM-2.5-2.6B is a compact reasoning model developed by Liquid, featuring a generous 128,000 token context length. It is highly suited for agent workflows, data extraction, retrieval-augmented generation (RAG), and long-context processing. However, the developer advises against using this model for agentic coding tasks.
Specs & Pricing
Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Usage on AIHubMix last 30 days
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Live Performance last 3 days
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Cost Calculator
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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 lfm-2.5-2.6b-free accepts 128,000 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; lfm-2.5-2.6b-free accepts text input and supports reasoning and long context.
Can I call kimi-k3 and lfm-2.5-2.6b-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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