The AI arena is free today

Open Superagent
Particle AIReleased on Oct 28, 2026

Particle-1: Benchmarks, Pricing & Context Window

Particle-1 is a language model from Particle AI, released in October 2026, with multimodal input, a 1.0M-token context window, and pricing from $0.250/M input, $0.030/M cached input, $1.00/M output.

Particle-1 is Particle AI's first model, a reinforcement-learning post-train of DeepSeek V4.1 Flash (rank-64 LoRA over the experts in all layers, trained with GSPO in Cascade RL stages on internal coding and data-engineering environments).

Input
TextImage
Output
Text

Particle-1 benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for Particle-1 across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How Particle-1 holds up as conversations get longer.

Quality Tracker

Particle-1 Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Thu Oct 29 2026
Notice missing or incorrect data?

Particle-1 pricing

Providers

Particle-1 starts at $0.250 per million input tokens and $1.00 per million output tokens via Particle AI. Reused prompt prefixes cost $0.0300 per million cached input tokens.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
Particle AI logoParticle AI
$0.250$0.0300$1.001.0M/131.1K
—
—
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

Particle-1 context window

Input and output token limits for Particle-1, plus how it ranks on long-context understanding.

InputOutput
1.0Mtokens
131Ktokens
≈ 1.6k pages of text
1.0M
8K128K1M

Try now

huggle
Particle-1in Huggle

Make it with
Particle-1.

Particle-1

Particle-1 latency

Particle-1 time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

Particle-1 examples

Recent arena outputs from Particle-1, picked from the highest-ranked matchups.

Particle-1 license

Particle-1 is a proprietary model available under its provider's product and API terms.

License
Proprietary
Hosted access

Proprietary license - usage restrictions apply

Particle-1 resources

Official sources for Particle-1: provider documentation, official playground, official launch post.

Particle-1 vs other models

The most-compared alternatives to Particle-1 are Gemini 3 Flash, Llama 3.3 70B Instruct, GPT-4. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Particle-1

Models ranked just above and below Particle-1 by LLM Stats score.

 

Gemini 3 Flash

Score pending
 

Llama 3.3 70B Instruct

Score pending
 

GPT-4

Score pending
 

Grok-2 mini

Score pending
 

Llama 3.2 90B Instruct

Score pending
 

Qwen3.6 Plus

Score pending

FAQ

Common questions about Particle-1.

When was Particle-1 released?

Particle-1 was released on October 28, 2026 by particle-ai. This is the official Particle-1 release date tracked on LLM Stats.

How much does Particle-1 cost?

Particle-1 pricing starts at $0.25 per million input tokens, $0.03 per million cached input tokens, $1.00 per million output tokens via Particle AI, the lowest price among tracked providers.

Who created Particle-1?

Particle-1 was created by particle-ai.

What is the license for Particle-1?

Particle-1 is released under the Proprietary license.

Is Particle-1 multimodal?

Yes, Particle-1 is multimodal and can accept both text and images as input.

Where can I use Particle-1?

Particle-1 is available through 1 provider including Particle AI.

Where is the Particle-1 paper or technical report?

Particle-1 has a paper or technical report available at https://particle.ai/blog/introducing-particle-1. Use that source for architecture, training, release and evaluation details.

What models should I compare Particle-1 against?

Common Particle-1 comparisons include Particle-1 vs Gemini 3 Flash, Particle-1 vs Llama 3.3 70B Instruct, Particle-1 vs GPT-4. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.