Particle-1编码模型登陆OpenRouter
AI 总结
Particle-1是一款注重token效率的编码模型，基于DeepSeek V4.1 Flash后训练，现已在OpenRouter上线。Particle称该模型平均减少约45%的token使用量，同时准确率接近基础模型。
深度见解
此次上线为OpenRouter增加了另一款编码模型选择。Particle表示，较低的token使用量可帮助智能体任务更快完成并降低成本。
RT Toven - on pat leave our new models account!! go follow pls :)
Models 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
