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Mistral Large 4 vs Phi 4 Mini Reasoning

Mistral Large 4 leads the LLM Stats Score 46.2 to 7.1.

Mistral AI · Microsoft · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 7.1, ranking #34 overall.

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

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Phi 4 Mini Reasoning

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

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Phi 4 Mini Reasoning
Microsoft
Core performance indexes
LLM Stats Score
46.2
#34
7.1
#305
Reasoning
44.0
#43
7.5
#296
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
— / M
Output price
$2.09 / M
— / M
Context window
1,000,000
—

Individual benchmarks

18 reported for Mistral Large 4 · 3 for Phi 4 Mini Reasoning

No common benchmarks found

Mistral Large 4 and Phi 4 Mini Reasoningdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1046.2B diff

Mistral Large 4 has 1046.2B more parameters than Phi 4 Mini Reasoning, making it 27531.6% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
1050.0B
Mistral Large 4
3.8B
Phi 4 Mini Reasoning

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Sat Oct 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Phi 4 Mini Reasoning does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 4

Text
Images
Audio
Video

Phi 4 Mini Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Phi 4 Mini Reasoning uses MIT.

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

Mistral Large 4

Proprietary

Closed source

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Phi 4 Mini Reasoning was released on 2025-04-30.

Mistral Large 4 is 17 months newer than Phi 4 Mini Reasoning.

Mistral Large 4

Oct 6, 2026

4 days ago

1.4yr 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 Mistral Large 4'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 Mistral Large 4's cutoff date.

Mistral Large 4

—

Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Phi 4 Mini Reasoning side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Phi 4 Mini Reasoning
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Phi 4 Mini Reasoning.

Which is better, Mistral Large 4 or Phi 4 Mini Reasoning?

Mistral Large 4 leads the LLM Stats Score 46.2 to 7.1. Mistral Large 4 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 Mistral Large 4 compare to Phi 4 Mini Reasoning in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the context window sizes for Mistral Large 4 and Phi 4 Mini Reasoning?

Mistral Large 4 supports 1.0M 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 Mistral Large 4 and Phi 4 Mini Reasoning?

Key differences include LLM Stats Score (46.2 vs 7.1), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Phi 4 Mini Reasoning?

Mistral Large 4 is developed by Mistral AI and Phi 4 Mini Reasoning is developed by Microsoft.

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