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Min istral 3 (3B Reasoning 2512) vs Phi 4 Mini Reasoning

Min istral 3 (3B Reasoning 2512) and Phi 4 Mini Reasoning are closely matched at 11.2 and 7.2 on the LLM Stats Score.

Mistral AI · Microsoft · Updated for 2026

Which is better?

Min istral 3 (3B Reasoning 2512) and Phi 4 Mini Reasoning are closely matched on the overall LLM Stats Score at 11.2 and 7.2.

In the 1 individual benchmarks reported for both models, Min istral 3 (3B Reasoning 2512) wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Min istral 3 (3B Reasoning 2512)

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Dec 2025

Choose Phi 4 Mini Reasoning

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

Core performance indexes
11.2
#259
7.2
#289
11.4
#254
7.5
#280
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.10 / M
— / M
Output price
$0.10 / M
— / M
Context window
131,100

Individual benchmarks

4 reported for Min istral 3 (3B Reasoning 2512) · 3 for Phi 4 Mini Reasoning

1 shared

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.

Tue Sep 15 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Tue Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

9 months ago

7mo newer
Phi 4 Mini Reasoning

Apr 30, 2025

1.4 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

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) and Phi 4 Mini Reasoning are closely matched on the LLM Stats Score at 11.2 and 7.2. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (11.2 vs 7.2), 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.