OpenRouter· @OpenRouter · X·· 3 小时前AI 评分48
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更少 token，同样的活。据 Particle 称，在四项编程基准上，@particle_api 的 Particle-1 比 DeepSeek V4.1 Flash 少用 28–52% 的输出 token。现已在 OpenRouter 上线。
正文
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.
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. http://openrouter.ai/particle-ai/particle-1在 X 查看被引用的帖子
来源：OpenRouter · x.com