Model Comparison

Min istral 3 (3B Reasoning 2512) vs Phi 4 Mini ReasoningWhich is better in 2026?

Min istral 3 (3B Reasoning 2512) significantly outperforms across most benchmarks.

Verdict: Min istral 3 (3B Reasoning 2512) vs Phi 4 Mini Reasoning — which is better?

Min istral 3 (3B Reasoning 2512) (by Mistral AI) and Phi 4 Mini Reasoning (by Microsoft) 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.

Min istral 3 (3B Reasoning 2512) outperforms in 1 benchmarks (GPQA), while Phi 4 Mini Reasoning is better at 0 benchmarks. Min istral 3 (3B Reasoning 2512) significantly outperforms across most benchmarks.

Choose Min istral 3 (3B Reasoning 2512) if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025

Choose Phi 4 Mini Reasoning if…

  • you are already invested in the Microsoft ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Min istral 3 (3B Reasoning 2512) outperforms in 1 benchmarks (GPQA), while Phi 4 Mini Reasoning is better at 0 benchmarks.

Min istral 3 (3B Reasoning 2512) significantly outperforms across most benchmarks.

Wed Jul 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

800.0M diff

Phi 4 Mini Reasoning has 0.8B more parameters than Min istral 3 (3B Reasoning 2512), making it 26.7% larger.

Mistral AI
Min istral 3 (3B Reasoning 2512)
3.0Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
3.0B
Min istral 3 (3B Reasoning 2512)
3.8B
Phi 4 Mini Reasoning

Context Window

Maximum input and output token capacity

Only Min istral 3 (3B Reasoning 2512) specifies input context (131,100 tokens). Only Min istral 3 (3B Reasoning 2512) specifies output context (131,100 tokens).

Mistral AI
Min istral 3 (3B Reasoning 2512)
Input131,100 tokens
Output131,100 tokens
Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Wed Jul 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Min istral 3 (3B Reasoning 2512) supports multimodal inputs, whereas Phi 4 Mini Reasoning does not.

Min istral 3 (3B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Min istral 3 (3B Reasoning 2512)

Text
Images
Audio
Video

Phi 4 Mini Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

Min istral 3 (3B Reasoning 2512) is licensed under Apache 2.0, while Phi 4 Mini Reasoning uses MIT.

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

Min istral 3 (3B Reasoning 2512)

Apache 2.0

Open weights

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Min istral 3 (3B Reasoning 2512) was released on 2025-12-04, while Phi 4 Mini Reasoning was released on 2025-04-30.

Min istral 3 (3B Reasoning 2512) is 7 months newer than Phi 4 Mini Reasoning.

Min istral 3 (3B Reasoning 2512)

Dec 4, 2025

7 months ago

7mo newer
Phi 4 Mini Reasoning

Apr 30, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while Min istral 3 (3B Reasoning 2512)'s cutoff date is not specified.

We can confirm Phi 4 Mini Reasoning's training data extends to 2025-02-01, but cannot make a direct comparison without Min istral 3 (3B Reasoning 2512)'s cutoff date.

Min istral 3 (3B Reasoning 2512)

Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (131,100 tokens)
Supports multimodal inputs
Higher GPQA score (53.4% vs 52.0%)

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Min istral 3 (3B Reasoning 2512) and Phi 4 Mini Reasoning side-by-side, then vote on the output you prefer.

Min istral 3 (3B Reasoning 2512)
✓ Preferred
Phi 4 Mini Reasoning
Open in Playground

FAQ

Common questions about Min istral 3 (3B Reasoning 2512) vs Phi 4 Mini Reasoning.

Which is better, Min istral 3 (3B Reasoning 2512) or Phi 4 Mini Reasoning?

Min istral 3 (3B Reasoning 2512) significantly outperforms across most benchmarks. Min istral 3 (3B Reasoning 2512) is made by Mistral AI and Phi 4 Mini Reasoning is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Min istral 3 (3B Reasoning 2512) compare to Phi 4 Mini Reasoning in benchmarks?

Min istral 3 (3B Reasoning 2512) scores AIME 2024: 77.5%, AIME 2025: 72.1%, LiveCodeBench: 54.8%, GPQA: 53.4%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the context window sizes for Min istral 3 (3B Reasoning 2512) and Phi 4 Mini Reasoning?

Min istral 3 (3B Reasoning 2512) supports 131K tokens and Phi 4 Mini Reasoning 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 Min istral 3 (3B Reasoning 2512) and Phi 4 Mini Reasoning?

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

Who makes Min istral 3 (3B Reasoning 2512) and Phi 4 Mini Reasoning?

Min istral 3 (3B Reasoning 2512) is developed by Mistral AI and Phi 4 Mini Reasoning is developed by Microsoft.