Model Comparison

Claude Sonnet 4.5 vs Mistral Large 3 (675B Instruct 2512 NVFP4)

Claude Sonnet 4.5 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Claude Sonnet 4.5 outperforms in 2 benchmarks (GPQA, MMMLU), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 0 benchmarks.

Claude Sonnet 4.5 significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Anthropic
Claude Sonnet 4.5
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Claude Sonnet 4.5 specifies input context (200,000 tokens). Only Claude Sonnet 4.5 specifies output context (64,000 tokens).

Anthropic
Claude Sonnet 4.5
Input200,000 tokens
Output64,000 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude Sonnet 4.5 and Mistral Large 3 (675B Instruct 2512 NVFP4) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude Sonnet 4.5

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Sonnet 4.5 is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512 NVFP4) uses Apache 2.0.

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

Claude Sonnet 4.5

Proprietary

Closed source

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Sonnet 4.5 was released on 2025-09-29, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

Mistral Large 3 (675B Instruct 2512 NVFP4) is 2 months newer than Claude Sonnet 4.5.

Claude Sonnet 4.5

Sep 29, 2025

6 months ago

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

4 months ago

2mo newer

Knowledge Cutoff

When training data ends

Claude Sonnet 4.5 has a documented knowledge cutoff of 2025-01-31, while Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date is not specified.

We can confirm Claude Sonnet 4.5's training data extends to 2025-01-31, but cannot make a direct comparison without Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date.

Claude Sonnet 4.5

Jan 2025

Mistral Large 3 (675B Instruct 2512 NVFP4)

Outputs Comparison

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Key Takeaways

Larger context window (200,000 tokens)
Higher GPQA score (83.4% vs 43.9%)
Higher MMMLU score (89.1% vs 85.5%)

Detailed Comparison

FAQ

Common questions about Claude Sonnet 4.5 vs Mistral Large 3 (675B Instruct 2512 NVFP4)

Claude Sonnet 4.5 significantly outperforms across most benchmarks. Claude Sonnet 4.5 is made by Anthropic and Mistral Large 3 (675B Instruct 2512 NVFP4) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Claude Sonnet 4.5 scores MMMLU: 89.1%, AIME 2025: 87.0%, TAU-bench Retail: 86.2%, GPQA: 83.4%, MMMUval: 77.8%. Mistral Large 3 (675B Instruct 2512 NVFP4) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.
Claude Sonnet 4.5 supports 200K tokens and Mistral Large 3 (675B Instruct 2512 NVFP4) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Claude Sonnet 4.5 is developed by Anthropic and Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI.