Ministral 3 (14B Base 2512) vs Particle-1
Particle-1 leads the LLM Stats Score 31.8 to 3.1.
Mistral AI · Particle AI · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 31.8 to 3.1, ranking #139 overall.
In the 1 individual benchmarks reported for both models, Particle-1 wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Ministral 3 (14B Base 2512)
- you need open weights you can self-host or fine-tune
Choose Particle-1
- overall performance matters — it scores 31.8 and ranks #139 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
6 reported for Ministral 3 (14B Base 2512) · 3 for Particle-1
Ministral 3 (14B Base 2512) outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (MMLU).
Particle-1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Particle-1 specifies input context (1,048,576 tokens). Only Particle-1 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both Ministral 3 (14B Base 2512) and Particle-1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Ministral 3 (14B Base 2512)
Particle-1
License
Usage and distribution terms
Ministral 3 (14B Base 2512) is licensed under Apache 2.0, while Particle-1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Ministral 3 (14B Base 2512) was released on 2025-12-04, while Particle-1 was released on 2026-10-28.
Particle-1 is 11 months newer than Ministral 3 (14B Base 2512).
Dec 4, 2025
11 months ago
Oct 28, 2026
1 weeks ago
10mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Ministral 3 (14B Base 2512) and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ministral 3 (14B Base 2512) vs Particle-1.