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Particle-1 接入 OpenClaw，输出 token 较 DeepSeek V4.1 Flash 减少约 45%

openclaw@openclaw
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Why we picked it

Particle-1 上线 OpenClaw 了，输出 token 比 DeepSeek V4.1 Flash 少 45%，跑 agent 的成本能省不少，升级到 v2026.10.10 就能用。

Particle-1 现已在 OpenClaw 平台可用。官方称该模型在基准准确率相当的情况下，输出 token 数比 DeepSeek V4.1 Flash 少约 45%。标准推理默认零数据保留。使用需将 OpenClaw 升级到 v2026.10.10 版本。

Original · openclaw

Particle-1 is available in OpenClaw.

@particle_api reports ~45% fewer output tokens than DeepSeek V4.1 Flash with comparable benchmark accuracy. Zero data retention for standard inference.

To give it a try, update to OpenClaw v2026.10.10.

https://t.co/eQhrW0nXGf https://t.co/vlHJeTCduY

#Particle-1#OpenClaw#DeepSeek#开源模型

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Particle-1 Model Now Available in OpenClaw v2026.10.10

Fewer output tokens at similar accuracy directly cuts API costs, since token count drives latency and spend on agentic workloads. Zero data retention makes the model a candidate for handling sensitive prompts. Builders using OpenClaw can try it by updating to v2026.10.10, and teams should compare its cost per task against DeepSeek V4.1 Flash on their own workloads.

#Particle-1#OpenClaw#DeepSeek#open-source models
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