Compare Kimi K3 from Moonshot AI and Lfm 2.5 2.6b (free) from Liquid 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
Lfm 2.5 2.6b (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.
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.
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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Kimi K3 accepts 1,048,576 and Lfm 2.5 2.6b (free) accepts 128,000 input tokens.
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.
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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