OpenRouter· @OpenRouter · X·· 3 小时前AI 评分58
AI 导读
Particle-1 已在 OpenRouter 上线，据 Particle 数据，它在四个编码基准上比 DeepSeek V4.1 Flash 少用 28–52% 的输出 token。该模型基于 DeepSeek V4.1 Flash 后训练，Particle 称平均少用约 45% token 且准确率接近基座模型，定价为 $0.25/M 输入、$1/M 输出，上下文 1.05M。
正文 · 原文
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.
【引用 @ModelsOnOR】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.
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