Model Comparison

GPT-5.6 Luna vs Ministral 3 (14B Base 2512)Which is better in 2026?

Comparing GPT-5.6 Luna and Ministral 3 (14B Base 2512) across benchmarks, pricing, and capabilities.

Verdict: GPT-5.6 Luna vs Ministral 3 (14B Base 2512) — which is better?

GPT-5.6 Luna (by OpenAI) and Ministral 3 (14B Base 2512) (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.

Choose GPT-5.6 Luna if…

  • you want the most recent training data — it shipped Jul 2026

Choose Ministral 3 (14B Base 2512) if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.6 Luna and Ministral 3 (14B Base 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-5.6 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
Ministral 3 (14B Base 2512)
Input- tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.6 Luna and Ministral 3 (14B Base 2512) 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

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Luna is licensed under a proprietary license, while Ministral 3 (14B Base 2512) 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

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.6 Luna was released on 2026-07-09, while Ministral 3 (14B Base 2512) was released on 2025-12-04.

GPT-5.6 Luna is 7 months newer than Ministral 3 (14B Base 2512).

GPT-5.6 Luna

Jul 9, 2026

1 weeks ago

7mo newer
Ministral 3 (14B Base 2512)

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 Ministral 3 (14B Base 2512)'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 Ministral 3 (14B Base 2512)'s cutoff date.

GPT-5.6 Luna

Feb 2026

Ministral 3 (14B Base 2512)

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Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (1,050,000 tokens)
Mistral AI
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Luna and Ministral 3 (14B Base 2512) side-by-side, then vote on the output you prefer.

GPT-5.6 Luna
✓ Preferred
Ministral 3 (14B Base 2512)
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Luna
Mistral AI
Ministral 3 (14B Base 2512)

FAQ

Common questions about GPT-5.6 Luna vs Ministral 3 (14B Base 2512).

Which is better, GPT-5.6 Luna or Ministral 3 (14B Base 2512)?

GPT-5.6 Luna (OpenAI) and Ministral 3 (14B Base 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-5.6 Luna compare to Ministral 3 (14B Base 2512) 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%. Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%.

What are the context window sizes for GPT-5.6 Luna and Ministral 3 (14B Base 2512)?

GPT-5.6 Luna supports 1.1M tokens and Ministral 3 (14B Base 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-5.6 Luna and Ministral 3 (14B Base 2512)?

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 Ministral 3 (14B Base 2512)?

GPT-5.6 Luna is developed by OpenAI and Ministral 3 (14B Base 2512) is developed by Mistral AI.

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