Particle-1 vs Pixtral Large
Particle-1 leads the LLM Stats Score 31.9 to 11.3. Particle-1 is 6.9x cheaper per token.
Particle AI · Mistral AI · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 31.9 to 11.3, ranking #133 overall.
On price, Particle-1 is roughly 6.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Particle-1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Particle-1
- overall performance matters — it scores 31.9 and ranks #133 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 6.9x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Pixtral Large
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
3 reported for Particle-1 · 7 for Pixtral Large
Particle-1 and Pixtral Largedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Particle-1 ($0.25/1M tokens) is 8.0x cheaper than Pixtral Large ($2.00/1M tokens).
For output processing, Particle-1 ($1.00/1M tokens) is 6.0x cheaper than Pixtral Large ($6.00/1M tokens).
In conclusion, Pixtral Large is more expensive than Particle-1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Particle-1 accepts 1,048,576 input tokens compared to Pixtral Large's 128,000 tokens. Particle-1 can generate longer responses up to 131,072 tokens, while Pixtral Large is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Particle-1 and Pixtral Large support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Particle-1
Pixtral Large
License
Usage and distribution terms
Particle-1 is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
Particle-1 was released on 2026-10-28, while Pixtral Large was released on 2024-11-18.
Particle-1 is 24 months newer than Pixtral Large.
Oct 28, 2026
-3 days ago
1.9yr newerNov 18, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Particle-1 is available from Particle AI. Pixtral Large is available from Mistral AI.
Particle-1
Pixtral Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Particle-1 and Pixtral Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Particle-1 vs Pixtral Large.