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Mistral Large 3 (675B Instruct 2512) vs Phi 4 Reasoning

Mistral Large 3 (675B Instruct 2512) and Phi 4 Reasoning are closely matched at 9.0 and 12.0 on the LLM Stats Score.

Mistral AI · Microsoft · Updated for 2026

Which is better?

Mistral Large 3 (675B Instruct 2512) and Phi 4 Reasoning are closely matched on the overall LLM Stats Score at 9.0 and 12.0.

In the 2 individual benchmarks reported for both models, Phi 4 Reasoning wins 2; 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 Mistral Large 3 (675B Instruct 2512)

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

Choose Phi 4 Reasoning

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

At a glance

The differences that matter most.

Core performance indexes
9.0
#286
12.0
#270
9.2
#280
12.6
#259
1.4
#245
6.3
#204
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
262,100
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 3 (675B Instruct 2512)
Phi 4 Reasoning
18.9#178
13.6#232
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for Mistral Large 3 (675B Instruct 2512) · 11 for Phi 4 Reasoning

2 shared

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.

Thu Oct 15 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Thu Oct 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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 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?

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

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?

Mistral Large 3 (675B Instruct 2512) and Phi 4 Reasoning are closely matched on the LLM Stats Score at 9.0 and 12.0. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (9.0 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 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.