Model Comparison

GPT-5.6 Sol vs Mistral Large 3 (675B Instruct 2512 NVFP4)Which is better in 2026?

GPT-5.6 Sol significantly outperforms across most benchmarks.

Verdict: GPT-5.6 Sol vs Mistral Large 3 (675B Instruct 2512 NVFP4) — which is better?

GPT-5.6 Sol (by OpenAI) and Mistral Large 3 (675B Instruct 2512 NVFP4) (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-5.6 Sol outperforms in 1 benchmarks (GPQA), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 0 benchmarks. GPT-5.6 Sol significantly outperforms across most benchmarks.

Choose GPT-5.6 Sol if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Choose Mistral Large 3 (675B Instruct 2512 NVFP4) if…

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

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5.6 Sol outperforms in 1 benchmarks (GPQA), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 0 benchmarks.

GPT-5.6 Sol significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5.6 Sol specifies input context (1,050,000 tokens). Only GPT-5.6 Sol specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Sol
Input1,050,000 tokens
Output128,000 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.6 Sol and Mistral Large 3 (675B Instruct 2512 NVFP4) support multimodal inputs.

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

GPT-5.6 Sol

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Sol is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512 NVFP4) uses Apache 2.0.

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

GPT-5.6 Sol

Proprietary

Closed source

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.6 Sol was released on 2026-07-09, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

GPT-5.6 Sol is 7 months newer than Mistral Large 3 (675B Instruct 2512 NVFP4).

GPT-5.6 Sol

Jul 9, 2026

2 weeks ago

7mo newer
Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

7 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date is not specified.

We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date.

GPT-5.6 Sol

Feb 2026

Mistral Large 3 (675B Instruct 2512 NVFP4)

—

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (1,050,000 tokens)
Higher GPQA score (94.6% vs 43.9%)
Mistral AI
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Sol and Mistral Large 3 (675B Instruct 2512 NVFP4) side-by-side, then vote on the output you prefer.

GPT-5.6 Sol
✓ Preferred
Mistral Large 3 (675B Instruct 2512 NVFP4)
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Sol
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)

FAQ

Common questions about GPT-5.6 Sol vs Mistral Large 3 (675B Instruct 2512 NVFP4).

Which is better, GPT-5.6 Sol or Mistral Large 3 (675B Instruct 2512 NVFP4)?

GPT-5.6 Sol significantly outperforms across most benchmarks. GPT-5.6 Sol is made by OpenAI and Mistral Large 3 (675B Instruct 2512 NVFP4) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.6 Sol compare to Mistral Large 3 (675B Instruct 2512 NVFP4) in benchmarks?

GPT-5.6 Sol scores Connectors: 100.0%, Capture-the-Flag Challenges (Internal): 96.7%, HealthBench Consensus: 95.5%, GPQA: 94.6%, MRCR v2 (8-needle): 91.5%. Mistral Large 3 (675B Instruct 2512 NVFP4) 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-5.6 Sol and Mistral Large 3 (675B Instruct 2512 NVFP4)?

GPT-5.6 Sol supports 1.1M tokens and Mistral Large 3 (675B Instruct 2512 NVFP4) 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-5.6 Sol and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Sol and Mistral Large 3 (675B Instruct 2512 NVFP4)?

GPT-5.6 Sol is developed by OpenAI and Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI.

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