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OpenRouter has launched the Particle-1 model. According to Particle, the model is post-trained on DeepSeek V4.1 Flash and uses 28–52% fewer output tokens than DeepSeek V4.1 Flash on four coding benchmarks, an average of about 45% fewer tokens, with accuracy close to the base model. Its pricing is $0.25 per million input tokens and $1 per million output tokens, with a context window of 1.05M. There are no further developments at present.
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Particle-1 launches on OpenRouter, claims 28–52% fewer output tokens than DeepSeek V4.1 on coding tasks…Developments
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- Source:OpenRouter
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Oct 29
OpenRouterFirst-party
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.