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Phi 4 Mini Reasoning vs Pixtral Large

Phi 4 Mini Reasoning and Pixtral Large are closely matched at 7.2 and 11.8 on the LLM Stats Score.

Microsoft · Mistral AI · Updated for 2026

Which is better?

Phi 4 Mini Reasoning and Pixtral Large are closely matched on the overall LLM Stats Score at 7.2 and 11.8.

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

Choose Phi 4 Mini Reasoning

  • you want the most recent training data — it shipped Apr 2025

Choose Pixtral Large

  • you want predictable pricing at $2.00/M input and $6.00/M output

At a glance

The differences that matter most.

Core performance indexes
7.2
#295
11.8
#262
7.5
#286
13.1
#246
Cost, coverage & limits
Benchmark wins
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
128,000

Individual benchmarks

3 reported for Phi 4 Mini Reasoning · 7 for Pixtral Large

No common benchmarks found

Phi 4 Mini Reasoning and Pixtral Largedon'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

120.2B diff

Pixtral Large has 120.2B more parameters than Phi 4 Mini Reasoning, making it 3163.2% larger.

Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
3.8B
Phi 4 Mini Reasoning
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

Only Pixtral Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).

Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

Phi 4 Mini Reasoning

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Phi 4 Mini Reasoning is licensed under MIT, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

Phi 4 Mini Reasoning

MIT

Open weights

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Phi 4 Mini Reasoning was released on 2025-04-30, while Pixtral Large was released on 2024-11-18.

Phi 4 Mini Reasoning is 5 months newer than Pixtral Large.

Phi 4 Mini Reasoning

Apr 30, 2025

1.4 years ago

5mo newer
Pixtral Large

Nov 18, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while Pixtral Large'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 Pixtral Large's cutoff date.

Phi 4 Mini Reasoning

Feb 2025

Pixtral Large

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

Phi 4 Mini Reasoning
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about Phi 4 Mini Reasoning vs Pixtral Large.

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

Phi 4 Mini Reasoning and Pixtral Large are closely matched on the LLM Stats Score at 7.2 and 11.8. Phi 4 Mini Reasoning is made by Microsoft and Pixtral Large is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Phi 4 Mini Reasoning compare to Pixtral Large in benchmarks?

Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

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

Phi 4 Mini Reasoning supports an unknown number of tokens and Pixtral Large supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Phi 4 Mini Reasoning and Pixtral Large?

Key differences include LLM Stats Score (7.2 vs 11.8), multimodal support (no vs yes), licensing (MIT vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi 4 Mini Reasoning and Pixtral Large?

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