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

Min istral 3 (3B Reasoning 2512) and Phi 4 Reasoning are closely matched at 11.2 and 12.0 on the LLM Stats Score.

Mistral AI · Microsoft · Updated for 2026

Which is better?

Min istral 3 (3B Reasoning 2512) and Phi 4 Reasoning are closely matched on the overall LLM Stats Score at 11.2 and 12.0.

In the 4 individual benchmarks reported for both models, Min istral 3 (3B Reasoning 2512) wins 3; 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 3 of 4 exact shared results
  • you want the most recent training data — it shipped Dec 2025

Choose Phi 4 Reasoning

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

Core performance indexes
11.2
#275
12.0
#270
11.4
#270
12.6
#259
6.8
#201
6.3
#204
Cost, coverage & limits
Benchmark wins
3 of 4
1 of 4
Input price
$0.10 / M
— / M
Output price
$0.10 / M
— / M
Context window
131,100
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Min istral 3 (3B Reasoning 2512)
Phi 4 Reasoning
12.8#237
13.6#232
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Min istral 3 (3B Reasoning 2512) · 11 for Phi 4 Reasoning

4 shared

Min istral 3 (3B Reasoning 2512) outperforms in 3 benchmarks (AIME 2024, AIME 2025, LiveCodeBench), while Phi 4 Reasoning is better at 1 benchmark (GPQA).

Min istral 3 (3B Reasoning 2512) shows notably better performance in the majority of benchmarks.

Wed Oct 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

11.0B diff

Phi 4 Reasoning has 11.0B more parameters than Min istral 3 (3B Reasoning 2512), making it 366.7% larger.

Mistral AI
Min istral 3 (3B Reasoning 2512)
3.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
3.0B
Min istral 3 (3B Reasoning 2512)
14.0B
Phi 4 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 Reasoning
Input- tokens
Output- tokens
Wed Oct 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Min istral 3 (3B Reasoning 2512) supports multimodal inputs, whereas Phi 4 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 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 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 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 Reasoning was released on 2025-04-30.

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

Min istral 3 (3B Reasoning 2512)

Dec 4, 2025

10 months ago

7mo newer
Phi 4 Reasoning

Apr 30, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Min istral 3 (3B Reasoning 2512)'s cutoff date is not specified.

We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without Min istral 3 (3B Reasoning 2512)'s cutoff date.

Min istral 3 (3B Reasoning 2512)

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

Min istral 3 (3B Reasoning 2512) and Phi 4 Reasoning are closely matched on the LLM Stats Score at 11.2 and 12.0. Min istral 3 (3B Reasoning 2512) is made by Mistral AI and Phi 4 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 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 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.

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

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

Key differences include LLM Stats Score (11.2 vs 12.0), 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 Reasoning?

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