tool use

Meta has released Muse Glimmer, a 30 billion parameter open-weights model licensed under Apache 2.0. The model targets agentic task completion, tool use, and multi-step reasoning, with benchmark results claimed on DeepSearch QA, MCP-Atlas, τ-Bench, and SWE-Bench.

Liquid AI has released LFM2.5-230M, a 230M parameter hybrid model trained on 19 trillion tokens with a 32,768 token context window. The model achieves 213 tok/s decode speed on Galaxy S25 Ultra and 42 tok/s on Raspberry Pi 5, with support for function calling and data extraction tasks.

Cohere Labs has released North Mini Code 1.0, a 30B-parameter sparse Mixture-of-Experts model with 3B active parameters and a 256K context window. The Apache 2.0-licensed model is optimized for agentic software engineering, featuring 128 experts with 8 activated per token, and trained specifically for tool use in coding tasks.

OpenRouter has released Owl Alpha, a foundation model specifically designed for agentic workloads with native tool use support and a 1,048,756 token context window. The model is currently free for both input and output tokens and is compatible with Claude Code, OpenClaw, and other productivity tools.