Mistral Medium 3.5 vs Particle-1
Particle-1 leads the LLM Stats Score 31.9 to 25.9. Particle-1 is 6.9x cheaper per token.
Mistral AI · Particle AI · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 31.9 to 25.9, 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 Mistral Medium 3.5
- you need open weights you can self-host or fine-tune
Choose Particle-1
- overall performance matters — it scores 31.9 and ranks #133 on LLM Stats
- 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
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Mistral Medium 3.5 · 3 for Particle-1
Mistral Medium 3.5 and Particle-1don'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, Mistral Medium 3.5 ($1.50/1M tokens) is 6.0x more expensive than Particle-1 ($0.25/1M tokens).
For output processing, Mistral Medium 3.5 ($7.50/1M tokens) is 7.5x more expensive than Particle-1 ($1.00/1M tokens).
In conclusion, Mistral Medium 3.5 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 Mistral Medium 3.5's 256,000 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while Particle-1 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Mistral Medium 3.5 and Particle-1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Medium 3.5
Particle-1
License
Usage and distribution terms
Mistral Medium 3.5 is licensed under Modified MIT License, while Particle-1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Modified MIT License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Medium 3.5 was released on 2026-04-29, while Particle-1 was released on 2026-10-28.
Particle-1 is 6 months newer than Mistral Medium 3.5.
Apr 29, 2026
6 months ago
Oct 28, 2026
2 days ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mistral Medium 3.5 is available from Mistral AI. Particle-1 is available from Particle AI.
Mistral Medium 3.5
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Medium 3.5 and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Medium 3.5 vs Particle-1.