Particle-1 launches on OpenRouter, claims 28–52% fewer output tokens than DeepSeek V4.1 on coding tasks…
Particle-1 is now live on OpenRouter, and Particle claims it uses 28–52% fewer output tokens than DeepSeek V4.1 Flash on four coding benchmarks. The model is post-trained on DeepSeek V4.1 Flash; Particle reports it uses about 45% fewer tokens on average with accuracy close to the base model, priced at $0.25 per million input tokens and $1 per million output tokens, with a 1.05M context window.
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On four coding benchmarks, Particle-1 uses 28–52% fewer output tokens than DeepSeek V4.1 Flash, giving readers a basis to judge changes in coding agent costs.
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View original postParticle-1 from @particle_api is live on OpenRouter. A token-efficient coding model post-trained on DeepSeek V4.1 Flash. Particle reports it uses ~45% fewer tokens on average with accuracy close to the base model, so agent tasks finish sooner and cost less. $0.25/M input, $1/M output, 1.05M context. https://t.co/VHqYbDkxyR
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Particle-1 from @particle_api is live on OpenRouter. A token-efficient coding model post-trained on DeepSeek V4.1 Flash. Particle reports it uses ~45% fewer tokens on average with accuracy close to the base model, so agent tasks finish sooner and cost less. $0.25/M input, $1/M output, 1.05M context. https://t.co/VHqYbDkxyR
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Fewer tokens, same work. Particle-1 from @particle_api uses 28–52% fewer output tokens than DeepSeek V4.1 Flash across four coding benchmarks, per Particle. Now on OpenRouter.