Model Comparison

Mistral Large 3 (675B Instruct 2512) vs Phi 4 ReasoningWhich is better in 2026?

Phi 4 Reasoning significantly outperforms across most benchmarks.

Verdict: Mistral Large 3 (675B Instruct 2512) vs Phi 4 Reasoning — which is better?

Mistral Large 3 (675B Instruct 2512) (by Mistral AI) and Phi 4 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.

Mistral Large 3 (675B Instruct 2512) outperforms in 0 benchmarks, while Phi 4 Reasoning is better at 2 benchmarks (GPQA, LiveCodeBench). Phi 4 Reasoning significantly outperforms across most benchmarks.

Choose Mistral Large 3 (675B Instruct 2512) if…

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

Choose Phi 4 Reasoning if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mistral Large 3 (675B Instruct 2512) outperforms in 0 benchmarks, while Phi 4 Reasoning is better at 2 benchmarks (GPQA, LiveCodeBench).

Phi 4 Reasoning significantly outperforms across most benchmarks.

Mon Jul 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

661.0B diff

Mistral Large 3 (675B Instruct 2512) has 661.0B more parameters than Phi 4 Reasoning, making it 4721.4% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512)
675.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512)
14.0B
Phi 4 Reasoning

Context Window

Maximum input and output token capacity

Only Mistral Large 3 (675B Instruct 2512) specifies input context (262,100 tokens). Only Mistral Large 3 (675B Instruct 2512) specifies output context (262,100 tokens).

Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Mon Jul 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512) supports multimodal inputs, whereas Phi 4 Reasoning does not.

Mistral Large 3 (675B Instruct 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 3 (675B Instruct 2512)

Text
Images
Audio
Video

Phi 4 Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 3 (675B Instruct 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.

Mistral Large 3 (675B Instruct 2512)

Apache 2.0

Open weights

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Mistral Large 3 (675B Instruct 2512) was released on 2025-12-04, while Phi 4 Reasoning was released on 2025-04-30.

Mistral Large 3 (675B Instruct 2512) is 7 months newer than Phi 4 Reasoning.

Mistral Large 3 (675B Instruct 2512)

Dec 4, 2025

7 months ago

7mo newer
Phi 4 Reasoning

Apr 30, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Mistral Large 3 (675B Instruct 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 Mistral Large 3 (675B Instruct 2512)'s cutoff date.

Mistral Large 3 (675B Instruct 2512)

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Larger context window (262,100 tokens)
Supports multimodal inputs
Microsoft
Higher GPQA score (65.8% vs 43.9%)
Higher LiveCodeBench score (53.8% vs 34.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Mistral Large 3 (675B Instruct 2512) and Phi 4 Reasoning side-by-side, then vote on the output you prefer.

Mistral Large 3 (675B Instruct 2512)
✓ Preferred
Phi 4 Reasoning
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Microsoft
Phi 4 Reasoning

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512) vs Phi 4 Reasoning.

Which is better, Mistral Large 3 (675B Instruct 2512) or Phi 4 Reasoning?

Phi 4 Reasoning significantly outperforms across most benchmarks. Mistral Large 3 (675B Instruct 2512) is made by Mistral AI and Phi 4 Reasoning is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Mistral Large 3 (675B Instruct 2512) compare to Phi 4 Reasoning in benchmarks?

Mistral Large 3 (675B Instruct 2512) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%. 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 Mistral Large 3 (675B Instruct 2512) and Phi 4 Reasoning?

Mistral Large 3 (675B Instruct 2512) supports 262K 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 Mistral Large 3 (675B Instruct 2512) and Phi 4 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 Mistral Large 3 (675B Instruct 2512) and Phi 4 Reasoning?

Mistral Large 3 (675B Instruct 2512) is developed by Mistral AI and Phi 4 Reasoning is developed by Microsoft.

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