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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 42.6 to 8.2.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-5.2 Pro leads the overall LLM Stats Score 42.6 to 8.2, ranking #62 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 42.6 and ranks #62 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
42.6
#62
8.2
#312
Reasoning
41.2
#65
8.4
#304
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#24
18.7#195
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 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 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 Oct 29 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

10 months ago

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

Dec 4, 2025

10 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?

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 42.6 to 8.2. 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 (42.6 vs 8.2), 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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