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Mistral Small 3 24B Base vs Particle-1

Particle-1 leads the LLM Stats Score 31.9 to -0.8.

Mistral AI · Particle AI · Updated for 2026

Which is better?

Particle-1 leads the overall LLM Stats Score 31.9 to -0.8, ranking #133 overall.

In the 2 individual benchmarks reported for both models, Particle-1 wins 2; 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 Mistral Small 3 24B Base

  • 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
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
-0.8
#364
31.9
#133
-0.7
#358
31.2
#135
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.25 / M
Output price
— / M
$1.00 / M
Context window
—
1,048,576

Individual benchmarks

9 reported for Mistral Small 3 24B Base · 3 for Particle-1

2 shared

Mistral Small 3 24B Base outperforms in 0 benchmarks, while Particle-1 is better at 2 benchmarks (GPQA, MMLU).

Particle-1 significantly outperforms across most benchmarks.

Fri Oct 30 2026 • llm-stats.com

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).

Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Particle AI
Particle-1
Input1,048,576 tokens
Output131,072 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Small 3 24B Base and Particle-1 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Small 3 24B Base

Text
Images
Audio
Video

Particle-1

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 3 24B Base 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.

Mistral Small 3 24B Base

Apache 2.0

Open weights

Particle-1

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Small 3 24B Base was released on 2025-01-30, while Particle-1 was released on 2026-10-28.

Particle-1 is 21 months newer than Mistral Small 3 24B Base.

Mistral Small 3 24B Base

Jan 30, 2025

1.7 years ago

Particle-1

Oct 28, 2026

1 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Base has a documented knowledge cutoff of 2023-10-01, while Particle-1's cutoff date is not specified.

We can confirm Mistral Small 3 24B Base's training data extends to 2023-10-01, but cannot make a direct comparison without Particle-1's cutoff date.

Mistral Small 3 24B Base

Oct 2023

Particle-1

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Small 3 24B Base and Particle-1 side-by-side, then vote on the output you prefer.

Mistral Small 3 24B Base
✓ Preferred
Particle-1
Open in Playground

FAQ

Common questions about Mistral Small 3 24B Base vs Particle-1.

Which is better, Mistral Small 3 24B Base or Particle-1?

Particle-1 leads the LLM Stats Score 31.9 to -0.8. Mistral Small 3 24B Base is made by Mistral AI and Particle-1 is made by Particle AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Small 3 24B Base compare to Particle-1 in benchmarks?

Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%. Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%.

What are the context window sizes for Mistral Small 3 24B Base and Particle-1?

Mistral Small 3 24B Base supports an unknown number of tokens and Particle-1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Small 3 24B Base and Particle-1?

Key differences include LLM Stats Score (-0.8 vs 31.9), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 3 24B Base and Particle-1?

Mistral Small 3 24B Base is developed by Mistral AI and Particle-1 is developed by Particle AI.