Poolside releases Laguna M.1, a 225B MoE model for agentic coding

Poolside has released Laguna M.1, a 225 billion parameter Mixture-of-Experts model optimized for agentic coding tasks. The model features a large sparse MoE architecture with 256 experts and global attention, enabling it to handle long-horizon work and interleaved reasoning with tool calls. Laguna M.1 demonstrates strong performance on agentic benchmarks like SWE-bench Verified and Terminal-Bench 2.0, competing with other leading open-weight and frontier models. The model is available under the Apache 2.0 license and has upstream support in various inference frameworks. AI

IMPACT Sets new SOTA on agentic coding benchmarks, potentially accelerating development of AI agents.

RANK_REASON Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on r/LocalLLaMA →

• Claude Sonnet 4.6
• DeepSeek-V4 Flash
• Devstral 2
• GLM-4.7
• Hugging Face
• poolside/Laguna-M.1
• Qwen3.5-397B-A17B
• SWE-bench Multilingual
• SWE-Bench Pro
• SWE-bench Verified
• Terminal-Bench 2.0
• Apache Software License 2.0
• Laguna M.1
• Mixture-of-Experts
• Muon

• model release
• product

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