Model Comparison

GPT-5 nano vs Ministral 3 (3B Instruct 2512)

Comparing GPT-5 nano and Ministral 3 (3B Instruct 2512) across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5 nano and Ministral 3 (3B Instruct 2512) don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).

OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Mistral AI
Ministral 3 (3B Instruct 2512)
Input- tokens
Output- tokens
Fri May 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5 nano and Ministral 3 (3B Instruct 2512) support multimodal inputs.

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

GPT-5 nano

Text
Images
Audio
Video

Ministral 3 (3B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 nano is licensed under a proprietary license, while Ministral 3 (3B Instruct 2512) uses Apache 2.0.

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

GPT-5 nano

Proprietary

Closed source

Ministral 3 (3B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 nano was released on 2025-08-07, while Ministral 3 (3B Instruct 2512) was released on 2025-12-04.

Ministral 3 (3B Instruct 2512) is 4 months newer than GPT-5 nano.

GPT-5 nano

Aug 7, 2025

9 months ago

Ministral 3 (3B Instruct 2512)

Dec 4, 2025

5 months ago

3mo newer

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Ministral 3 (3B Instruct 2512)'s cutoff date is not specified.

We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without Ministral 3 (3B Instruct 2512)'s cutoff date.

GPT-5 nano

May 2024

Ministral 3 (3B Instruct 2512)

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Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Mistral AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5 nano
Mistral AI
Ministral 3 (3B Instruct 2512)

FAQ

Common questions about GPT-5 nano vs Ministral 3 (3B Instruct 2512).

Which is better, GPT-5 nano or Ministral 3 (3B Instruct 2512)?

GPT-5 nano (OpenAI) and Ministral 3 (3B Instruct 2512) (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-5 nano compare to Ministral 3 (3B Instruct 2512) in benchmarks?

GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%. Ministral 3 (3B Instruct 2512) scores MATH: 83.0%, Wild Bench: 56.8%, Arena Hard: 30.5%, MM-MT-Bench: 7.8%.

What are the context window sizes for GPT-5 nano and Ministral 3 (3B Instruct 2512)?

GPT-5 nano supports 400K tokens and Ministral 3 (3B Instruct 2512) 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 nano and Ministral 3 (3B Instruct 2512)?

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

Who makes GPT-5 nano and Ministral 3 (3B Instruct 2512)?

GPT-5 nano is developed by OpenAI and Ministral 3 (3B Instruct 2512) is developed by Mistral AI.