Particle AI: Particle-1 Rank
Particle-1 has an overall score of 85 out of 100, tied for rank 4 of 291. The published scores are price 84, context 71, and recency 100. The overall score is their average. parameters and freshness are not published and are left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 4 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 100 | AI Release Date | |
| Context | 71 | 1.05M tokens, output 131K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 84 | $0.163 / 1M blended, $0.05 / 1M input, $0.5 / 1M output | AI Token Price |
3 listed models have a higher overall score. Among Particle AI models, it ranks 1 of 1.
Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash. It is suited for software engineering work such as terminal workflows, codebase changes, and data...
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Frequently asked questions
What is the Particle-1 rank?
Particle-1 has an overall score of 85 out of 100, tied for rank 4 of 291. The published scores are price 84, context 71, and recency 100. The overall score is their average. parameters and freshness are not published and are left out of the average.
Where does Particle-1 rank?
Particle-1 is tied for rank 4 of 291. 3 listed models have a higher overall score. Among Particle AI models, it ranks 1 of 1.
What scores make up Particle-1?
Particle-1 scores price 84 (AI Token Price), context 71 (AI Context Window), and recency 100 (AI Release Date). The overall score of 85 is the average of those 3.