Particle-1 cuts coding-agent tokens nearly in half
Particle-1 is Particle AI’s post-trained DeepSeek V4.1 Flash model for agentic coding and data engineering. Particle reports 28.4–52.2% fewer output tokens, similar pass@1 accuracy, and availability through OpenRouter.
Token efficiency is becoming a model capability in its own right, and Particle-1 makes a credible case that shorter agent trajectories can reduce cost without sacrificing results.
- –Evaluated on Terminal-Bench 2.1, ReactBench, ADE Bench, and DeepSWE 1.1
- –Particle reports 34.4–51.6% lower average task costs than DeepSeek V4.1 Flash
- –The savings come from reduced reasoning and tool-call tokens, which could make long-running coding agents more practical
- –Results are first-party claims and still need independent reproduction across real-world codebases
- –OpenRouter pricing is $0.25 per million input tokens and $1 per million output tokens, with a 1M-token context window
DISCOVERED
1h ago
2026-10-29
PUBLISHED
4h ago
2026-10-28
RELEVANCE
AUTHOR
OpenRouter