Particle-1
by Particle AIparticle-ai/particle-1
LLMCompare cannot run Particle-1 yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowParticle-1 at a glance
- Context length
- 1,048,576 tokens
- Maximum output
- 131,072 tokens
- Accepts
- Text, Image
- Returns
- Text
- Features
- ReasoningJSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
maxxhighhighmediumlowminimalnoneReasoning can be turned off.- Released
- 28 Oct 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 28 Oct 2026.
Particle-1 pricing by route
A route is the service LLMCompare calls to reach the model. Particle-1 has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $0.25 | $1.00 | $0.03 | openrouter.ai/particle-ai/particle-1 |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to Particle-1 costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
Billed in addition to the output tokens.
- Cost per call
- $0.00075
- 1 credits
- Cost of 100 calls
- $0.075
- 100 credits
Calculated from the OpenRouter prices verified on 28 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 131,072 | Provider default |
reasoning_effort | One of | maxxhighhighmediumlowminimalnone | high |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About Particle-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...
Description as published for this model. LLMCompare has not edited it.
Models to compare with Particle-1
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
Beam 1.0 501B A23BReflectionreflection/beam-1.0-501b-a23b | 1.05M | 131k | $0.25 | $1.00 | ReasoningJSONToolsCache | No route yet | ||
DeepSeek V3.1 TerminusDeepSeekdeepseek/deepseek-v3.1-terminus | 164k | 147k | $0.27 | $1.00 | JSONTools | No route yet | ||
MiniMax M2MiniMaxminimax/minimax-m2 | 205k | 131k | $0.255 | $1.02 | Tools | No route yet | ||
DeepSeek V3DeepSeekdeepseek/deepseek-chat | 164k | 16k | $0.2574 | $1.03 | JSONTools | No route yet | ||
Qwen3 VL 30B A3B ThinkingQwenqwen/qwen3-vl-30b-a3b-thinking | 262k | 236k | $0.29 | $1.00 | JSONToolsVision | No route yet | ||
Qwen3 Coder 480B A35BQwenqwen/qwen3-coder | 262k | 65.5k | $0.30 | $1.00 | JSONToolsCache | No route yet |
Questions about Particle-1
- How much does Particle-1 cost?
- On the OpenRouter route, Particle-1 costs $0.25 per 1 million input tokens and $1.00 per 1 million output tokens, in US dollars. Input tokens that Particle-1 reads from the prompt cache cost $0.03 per 1 million tokens. LLMCompare verified this price on 28 Oct 2026.
- What is the context length of Particle-1?
- Particle-1 has a context length of 1,048,576 tokens and returns up to 131,072 output tokens in one call.
- What inputs does Particle-1 accept?
- Particle-1 accepts these inputs: Text, Image. Particle-1 returns: Text.
- Which reasoning effort levels does Particle-1 support?
- Particle-1 supports these reasoning effort levels: max, xhigh, high, medium, low, minimal, none. Reasoning can be turned off for Particle-1.
- Can I test Particle-1 on my own data?
- Not yet. LLMCompare lists the prices and parameters of Particle-1, but no route to Particle-1 is configured on LLMCompare, so it cannot be selected for an evaluation.