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It reportedly uses about 45% fewer output tokens than a comparable model while keeping similar benchmark accuracy.
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Particle-1 is available in OpenClaw. @particle_api reports ~45% fewer output tokens than DeepSeek V4.1 Flash with comparable benchmark accuracy. Zero data retention for standard inference. To give it a try, update to OpenClaw v2026.10.10.Read original on X
OpenClaw adds Particle-1, a model trained for software engineering tasks
OpenClaw adds Particle-1, a model built for software engineering tasks
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The release bundles 113 pull requests from 64 contributors, according to its release notes.
The release drew on 3,028 pull requests from 454 contributors.
The test uses 206 multi-step tasks across fields like chip design, biology, and quant trading, showing how far current models fall short on professional work.
The nearly $16 billion round drew backing from Tencent, CATL, and Chinese state-owned institutions.