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Put models side by side on price, context, capabilities, and 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.
Cost rate
Free
Context
66K
Input
Output
Reasoning
Tool calling
Structured outputs
Pricing/M tokens
Input$0.00
Cached input$0.00
Output$0.00
Context
Context length65,536
Max output tokens8,192
Knowledge cutoff-
Performance
Throughput-
Latency-
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.
Document analysis#31Software & IT Services#100Mathematical#101Writing, Literature, & Language#109
Cost rate
1x
Context
200K
Input
Output
Reasoning
Tool calling
Structured outputs
Pricing/M tokens
Input$1.00
Cached input$0.10
Output$5.00
Context
Context length200,000
Max output tokens64,000
Knowledge cutoff-
Performance
Throughput90 tok/s
Latency1.04s
