Context windows are 1,000,000 tokens on grok-4.5 and 128,000 tokens on lfm-2.5-2.6b-free.
grok-4.5lfm-2.5-2.6b-freeGrok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
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. Latency and throughput are rolling averages measured on AIHubMix.
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grok-4.5 accepts 1,000,000 and lfm-2.5-2.6b-free accepts 128,000 input tokens.
grok-4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; lfm-2.5-2.6b-free accepts text input and supports reasoning and long context.
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