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GPT-5.2 Pro vs Mistral Large 3 (675B Instruct 2512 Eagle)

GPT-5.2 Pro leads the LLM Stats Score 43.0 to 8.8.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-5.2 Pro leads the overall LLM Stats Score 43.0 to 8.8, ranking #43 overall.

In the 1 individual benchmarks reported for both models, GPT-5.2 Pro 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 GPT-5.2 Pro

  • overall performance matters — it scores 43.0 and ranks #43 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 Dec 2025

Choose Mistral Large 3 (675B Instruct 2512 Eagle)

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-5.2 Pro
OpenAI
Mistral Large 3 (675B Instruct 2512 Eagle)
Mistral AI
Core performance indexes
LLM Stats Score
43.0
#43
8.8
#274
Reasoning
41.5
#46
9.0
#267
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$21.00 / M
— / M
Output price
$168.00 / M
— / M
Context window
400,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5.2 Pro
Mistral Large 3 (675B Instruct 2512 Eagle)
Math
38.6#25
18.8#177
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for GPT-5.2 Pro · 5 for Mistral Large 3 (675B Instruct 2512 Eagle)

1 shared

GPT-5.2 Pro outperforms in 1 benchmarks (GPQA), while Mistral Large 3 (675B Instruct 2512 Eagle) is better at 0 benchmarks.

GPT-5.2 Pro significantly outperforms across most benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.2 Pro specifies input context (400,000 tokens). Only GPT-5.2 Pro specifies output context (128,000 tokens).

OpenAI
GPT-5.2 Pro
Input400,000 tokens
Output128,000 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.2 Pro and Mistral Large 3 (675B Instruct 2512 Eagle) support multimodal inputs.

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

GPT-5.2 Pro

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 Eagle)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 Pro is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512 Eagle) uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.2 Pro

Proprietary

Closed source

Mistral Large 3 (675B Instruct 2512 Eagle)

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.2 Pro was released on 2025-12-11, while Mistral Large 3 (675B Instruct 2512 Eagle) was released on 2025-12-04.

GPT-5.2 Pro is 0 month newer than Mistral Large 3 (675B Instruct 2512 Eagle).

GPT-5.2 Pro

Dec 11, 2025

9 months ago

1w newer
Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

9 months ago

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-5.2 Pro and Mistral Large 3 (675B Instruct 2512 Eagle) side-by-side, then vote on the output you prefer.

GPT-5.2 Pro
✓ Preferred
Mistral Large 3 (675B Instruct 2512 Eagle)
Open in Playground

FAQ

Common questions about GPT-5.2 Pro vs Mistral Large 3 (675B Instruct 2512 Eagle).

Which is better, GPT-5.2 Pro or Mistral Large 3 (675B Instruct 2512 Eagle)?

GPT-5.2 Pro leads the LLM Stats Score 43.0 to 8.8. GPT-5.2 Pro is made by OpenAI and Mistral Large 3 (675B Instruct 2512 Eagle) is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5.2 Pro compare to Mistral Large 3 (675B Instruct 2512 Eagle) in benchmarks?

GPT-5.2 Pro scores AIME 2025: 100.0%, HMMT 2025: 100.0%, GPQA: 93.2%, ARC-AGI: 90.5%, BrowseComp: 77.9%. 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%.

What are the context window sizes for GPT-5.2 Pro and Mistral Large 3 (675B Instruct 2512 Eagle)?

GPT-5.2 Pro supports 400K tokens and Mistral Large 3 (675B Instruct 2512 Eagle) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.2 Pro and Mistral Large 3 (675B Instruct 2512 Eagle)?

Key differences include LLM Stats Score (43.0 vs 8.8), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.2 Pro and Mistral Large 3 (675B Instruct 2512 Eagle)?

GPT-5.2 Pro is developed by OpenAI and Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI.

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