Today's price · per 1M tokens
Input
$0.250
per 1M tokens
Output
$1.00
per 1M tokens
Blended
$0.438
blended $/1M — 3:1 weighted input:output
Cached input
$0.030
12% of input — prompt caching
How this price is scoped: These are Particle AI's peak (standard) prices per 1M tokens: $0.25 input / $0.03 cached input / $1.00 output. Particle charges 50% of these from 20:30 to 04:00 America/New_York, and requests on its Flex service tier get a further 50% off.
Price receipt
We read Particle AI's own pricing page on and found particle-1 listed with a price on the same row — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is 38febbd04d.
Overview
Particle AI's first model, an agentic coding model post-trained from DeepSeek V4.1 Flash with reinforcement learning to finish tasks in fewer tokens. Particle reports 28-52% fewer output tokens and 34-52% lower cost per task than DeepSeek V4.1 Flash on Terminal-Bench 2.1, ReactBench, ADE Bench and DeepSWE 1.1, at pass rates within the base model's confidence intervals. It takes text and images, has a 1,048,576-token context window and up to 131,072 output tokens, with reasoning effort levels and tool calling. $0.25 input / $1.00 output per 1M tokens at peak.
Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is betterEvery per-benchmark score we hold for this model is reported by its own vendor, so none is counted toward an accuracy average or any ranking.
Source: Particle AI launch post (general benchmarks) · updated · See full rankings →
Specifications
- Provider
- Particle AI
- Context window
- 1M tokens
- Modality
- text, image
- Parameters
- Proprietary
- Open source
- No — proprietary
- Released
- Status
- Current
- Last updated
- Tags
Availability verified: — listed on Particle AI's own page