AI model
particle-ai/particle-1
Particle AI: Particle-1 is a 1,048,576-token model served on Composite at $0.0625 per million tokens in and $0.625 per million tokens out. Ranked #173 of 179 models by traffic on Composite over the last 30 days, taking 0% of tokens and 0% of requests.
Try in Playground| Model ID | particle-ai/particle-1 |
|---|---|
| Provider | cv11 |
| Context window | 1,048,576 tokens |
| Accepts | text, image |
| Returns | text |
| Input price | $0.0625 per million tokens |
| Output price | $0.625 per million tokens |
| Prompt caching | Supported — cached input is billed at the provider's cache rate, on credits and plans alike |
| Thinking | Optional - see "Particle AI: Particle-1 (Reasoning)" in the catalog to turn it on by default |
| Moderated | No |
| Cost on a monthly plan | About 0.9 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 2 (base plus 1 routing variant) |
Make a Composite API key and type particle-ai/particle-1 as the model name. JanitorAI takes the full URL https://composite.lucidity.sh/v1/chat/completions; SillyTavern, ChubAI, Agnai and RisuAI take https://composite.lucidity.sh/v1. It runs on credits, a plan, or your own provider key.
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#173 of 179
0% of tokens and 0% of requests over 30 days.
The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.
| Route | Model ID | Provider | Price |
|---|---|---|---|
| cheapThink | particle-ai/particle-1:cheapThink |
cv11 | $0.0625 per million tokens input · $0.625 per million tokens output |
$0.0625 per million tokens input · $0.625 per million tokens output
Credits pay the provider’s price plus 25%; cache hits cost less.
On a monthly plan, a typical call (8k tokens in, 1k out) uses about 0.9 plan credits, at the provider's own price.
cv11
This model is available on Composite alongside dozens of others from other labs, so it is easy to compare against similar options.
With a 1,048,576-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.
It is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.
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...
Supplied by cv11, not written by Composite.
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