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Comparez des modèles côte à côte selon le prix, le contexte, les capacités et les benchmarks.
LFM2.5-2.6B is Liquid AI's on-device agentic model (2.6B parameters, 128K context), pre-trained on ~34T tokens to plan, call tools, and run multi-step tasks entirely on phones, laptops, and edge devices with no data leaving the device. It leads its size class on instruction-following and tool-use benchmarks while running in under 2.5 GB of memory; this is OpenRouter's rate-limited free endpoint.
Claude Haiku 4.5 is Anthropic's fast, affordable small model in the Claude 4 generation, balancing strong instruction-following and coding ability with low latency. It is designed for high-throughput agentic and chat applications where speed and cost efficiency are priorities.
