Model Comparison

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

GPT-5.6 Luna significantly outperforms across most benchmarks.

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

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

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

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

OpenAI
GPT-5.6 Luna
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 Luna 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 Luna

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Luna 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 Luna

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

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

GPT-5.6 Luna

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 Luna 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 Luna'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 Luna

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 (92.3% vs 43.9%)
Mistral AI
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

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

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

GPT-5.6 Luna significantly outperforms across most benchmarks. GPT-5.6 Luna 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 Luna compare to Mistral Large 3 (675B Instruct 2512 NVFP4) in benchmarks?

GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%. 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 Luna and Mistral Large 3 (675B Instruct 2512 NVFP4)?

GPT-5.6 Luna 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 Luna 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 Luna and Mistral Large 3 (675B Instruct 2512 NVFP4)?

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

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