Particle-1
AvailableParticle-1 is Particle AI's first model, released 2026-10-28: a token-efficient agentic coding and software-engineering model post-trained on DeepSeek V4.1 Flash to finish tasks (terminal workflows, codebase changes) with fewer tokens. Text and image input, text output; reasoning, function calling and JSON-schema structured outputs; 1,048,576-token context, 131,072 max output. Served via the Particle API, OpenRouter (particle-ai/particle-1) and Vercel AI Gateway; the official launch post lists $0.30 / $1.20 per 1M uncached input/output tokens ($0.006 cached input). Particle reports ~45% fewer tokens on average vs. base DeepSeek V4.1 Flash at comparable accuracy. Proprietary; weights not released. No vendor benchmark table mapped at launch.
Specifications
- License
- Proprietary · Proprietary
- Weights
- Not released
- Architecture
- unknown
- Parameters
- Undisclosed
- Context window
- 1.0M tokens
- Max output
- 131K tokens
- Knowledge cutoff
- —
- Price (in / out, $/M)
- $0.3 / $1.2
- Modalities
- TextVisionCode
Benchmarks
No benchmark scores recorded yet. Spotted some? Submit a correction.
Vendor-reported figures are claims until independently verified. See methodology.