Model Comparison

GPT-4 Turbo vs Mistral Large 3 (675B Instruct 2512 NVFP4)Which is better in 2026?

GPT-4 Turbo significantly outperforms across most benchmarks.

Verdict: GPT-4 Turbo vs Mistral Large 3 (675B Instruct 2512 NVFP4) — which is better?

GPT-4 Turbo (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-4 Turbo outperforms in 1 benchmarks (GPQA), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 0 benchmarks. GPT-4 Turbo significantly outperforms across most benchmarks.

Choose GPT-4 Turbo if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

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

  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-4 Turbo outperforms in 1 benchmarks (GPQA), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 0 benchmarks.

GPT-4 Turbo significantly outperforms across most benchmarks.

Wed Jun 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Wed Jun 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas GPT-4 Turbo does not.

Mistral Large 3 (675B Instruct 2512 NVFP4) can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4 Turbo

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 Turbo 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-4 Turbo

Proprietary

Closed source

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

Mistral Large 3 (675B Instruct 2512 NVFP4) is 20 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.2 years ago

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

6 months ago

1.7yr newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date.

GPT-4 Turbo

Dec 2023

Mistral Large 3 (675B Instruct 2512 NVFP4)

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Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Higher GPQA score (48.0% vs 43.9%)
Mistral AI
Supports multimodal inputs
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4 Turbo
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)

FAQ

Common questions about GPT-4 Turbo vs Mistral Large 3 (675B Instruct 2512 NVFP4).

Which is better, GPT-4 Turbo or Mistral Large 3 (675B Instruct 2512 NVFP4)?

GPT-4 Turbo significantly outperforms across most benchmarks. GPT-4 Turbo 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-4 Turbo compare to Mistral Large 3 (675B Instruct 2512 NVFP4) in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. 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-4 Turbo and Mistral Large 3 (675B Instruct 2512 NVFP4)?

GPT-4 Turbo supports 128K 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-4 Turbo and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Key differences include multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and Mistral Large 3 (675B Instruct 2512 NVFP4)?

GPT-4 Turbo is developed by OpenAI and Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI.

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