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Mistral Large 3 (675B Instruct 2512 Eagle) vs Particle-1

Particle-1 leads the LLM Stats Score 31.9 to 8.2.

Mistral AI · Particle AI · Updated for 2026

Which is better?

Particle-1 leads the overall LLM Stats Score 31.9 to 8.2, ranking #133 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 Mistral Large 3 (675B Instruct 2512 Eagle)

  • 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 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.

Mistral Large 3 (675B Instruct 2512 Eagle)
Mistral AI
Particle-1
Particle AI
Core performance indexes
LLM Stats Score
8.2
#312
31.9
#133
Reasoning
8.4
#304
31.2
#135
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.25 / M
Output price
— / M
$1.00 / M
Context window
—
1,048,576

Individual benchmarks

5 reported for Mistral Large 3 (675B Instruct 2512 Eagle) · 3 for Particle-1

1 shared

Mistral Large 3 (675B Instruct 2512 Eagle) outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (GPQA).

Particle-1 significantly outperforms across most benchmarks.

Thu Oct 29 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 Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Particle AI
Particle-1
Input1,048,576 tokens
Output131,072 tokens
Thu Oct 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 3 (675B Instruct 2512 Eagle) and Particle-1 support multimodal inputs.

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

Mistral Large 3 (675B Instruct 2512 Eagle)

Text
Images
Audio
Video

Particle-1

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 3 (675B Instruct 2512 Eagle) 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 Large 3 (675B Instruct 2512 Eagle)

Apache 2.0

Open weights

Particle-1

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Large 3 (675B Instruct 2512 Eagle) was released on 2025-12-04, while Particle-1 was released on 2026-10-28.

Particle-1 is 11 months newer than Mistral Large 3 (675B Instruct 2512 Eagle).

Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

10 months ago

Particle-1

Oct 28, 2026

-3 days ago

10mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 3 (675B Instruct 2512 Eagle) and Particle-1 side-by-side, then vote on the output you prefer.

Mistral Large 3 (675B Instruct 2512 Eagle)
✓ Preferred
Particle-1
Open in Playground

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512 Eagle) vs Particle-1.

Which is better, Mistral Large 3 (675B Instruct 2512 Eagle) or Particle-1?

Particle-1 leads the LLM Stats Score 31.9 to 8.2. Mistral Large 3 (675B Instruct 2512 Eagle) 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 Large 3 (675B Instruct 2512 Eagle) compare to Particle-1 in benchmarks?

Mistral Large 3 (675B Instruct 2512 Eagle) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%. Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%.

What are the context window sizes for Mistral Large 3 (675B Instruct 2512 Eagle) and Particle-1?

Mistral Large 3 (675B Instruct 2512 Eagle) 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 Large 3 (675B Instruct 2512 Eagle) and Particle-1?

Key differences include LLM Stats Score (8.2 vs 31.9), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 3 (675B Instruct 2512 Eagle) and Particle-1?

Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI and Particle-1 is developed by Particle AI.

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