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Favicon for particle-ai

Particle AI: Particle-1 (free)

particle-ai/particle-1:free

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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 engineering tasks, and is trained to complete them with substantially fewer reasoning and tool-call tokens while keeping accuracy close to its base model.

Modalities
Price
Free
Context
1.0M
Released
Oct 28, 2026
Compare
ProvidersPerformanceUptimeAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

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Latency / throughput
FreeFree0.78s111 tok/s
100.00%
ProviderInput / Output /M
  • Favicon for Particle AI
    Input Free / Output Free
    111 tok/s100.00% uptime
Throughput
111tok/s

P50, best across providers

Latency
0.78s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
99.81%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.78%

Availability over the last 3 days

Last 72 hours
Availability 99.78%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.87%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

1.
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4.
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5.
Favicon for https://github.com/deepseek-ai/deepseek-harness
DeepSeek Harness
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Frequently asked questions

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 engineering tasks, and is trained to complete them with substantially fewer reasoning and tool-call tokens while keeping accuracy close to its base model.

Yes. The pricing shown on this page for Particle-1 (free) is zero, so you are not charged for prompt or completion tokens. Free endpoints are rate limited — see the rate limit docs.

Particle-1 (free) has a 1,048,576 token context window. It supports up to 131,072 completion tokens.

Yes. Particle-1 (free) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Particle-1 (free) accepts text and images as input and returns text.

Particle-1 (free) is served by 1 provider on OpenRouter: Particle AI.

Particle-1 (free) was released on October 28, 2026.

More models from Particle AI

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 engineering tasks, and is trained to complete them with substantially fewer reasoning and tool-call tokens while keeping accuracy close to its base model.

Text1.0M context$0.05 / $0.50
Particle-1 (free)

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 engineering tasks, and is trained to complete them with substantially fewer reasoning and tool-call tokens while keeping accuracy close to its base model.

Text1.0M contextFree