Particle AI: Particle-1✓ Catalog verified
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...
Overview
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...
Access: available through the official Particle Ai API. Context window: 1.0M.
Specifications
| API identifier | particle-ai/particle-1 |
| Provider | Particle Ai |
| Model type | Multimodal LLM |
| Context window | 1.0M catalog |
| Input modalities | text · image |
| Output modalities | text |
| Released | Oct 28, 2026 |
| Moderated | No |
| Architecture modality | text+image->text |
Pricing
Live pricing components for particle-ai/particle-1 as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $2.5e-7 | $0.25 / 1M | Per input token |
| Completion tokens | $0.000001 | $1.00 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.33Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Particle AI: Particle-1 through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="particle-ai/particle-1",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| DeepSeek: DeepSeek V4 Flash 0423 | DeepSeek | 1.0M | $0.09 | View → |
| DeepSeek: DeepSeek V4 Flash 0731 | DeepSeek | 1.0M | $0.12 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Particle AI: Particle-1 cost?
$0.25 per 1M input tokens and $1.00 per 1M output tokens on the official Particle Ai API.
What is the context window of Particle AI: Particle-1?
Particle AI: Particle-1 supports up to 1.0M tokens of context.
Does Particle AI: Particle-1 support tool / function calling?
Yes, Particle AI: Particle-1 supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Particle AI: Particle-1?
Use the official Particle Ai API with the model id `particle-ai/particle-1`. See the Quick start section above for code examples.