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Claude Sonnet 4.6 vs Mistral Large 3 (675B Instruct 2512 Eagle)

Claude Sonnet 4.6 leads the LLM Stats Score 37.3 to 8.5.

Anthropic · Mistral AI · Updated for 2026

Which is better?

Claude Sonnet 4.6 leads the overall LLM Stats Score 37.3 to 8.5, ranking #63 overall.

In the 2 individual benchmarks reported for both models, Claude Sonnet 4.6 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 Claude Sonnet 4.6

  • overall performance matters — it scores 37.3 and ranks #63 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Feb 2026

Choose Mistral Large 3 (675B Instruct 2512 Eagle)

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

At a glance

The differences that matter most.

Claude Sonnet 4.6
Anthropic
Mistral Large 3 (675B Instruct 2512 Eagle)
Mistral AI
Core performance indexes
LLM Stats Score
37.3
#63
8.5
#267
Reasoning
38.4
#59
8.7
#258
Coding
26.3
#60
1.3
#224
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
200,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Sonnet 4.6
Mistral Large 3 (675B Instruct 2512 Eagle)
Math
34.2#48
18.0#181
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for Claude Sonnet 4.6 · 5 for Mistral Large 3 (675B Instruct 2512 Eagle)

2 shared

Claude Sonnet 4.6 outperforms in 2 benchmarks (GPQA, MMMLU), while Mistral Large 3 (675B Instruct 2512 Eagle) is better at 0 benchmarks.

Claude Sonnet 4.6 significantly outperforms across most benchmarks.

Thu Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Claude Sonnet 4.6 specifies input context (200,000 tokens). Only Claude Sonnet 4.6 specifies output context (64,000 tokens).

Anthropic
Claude Sonnet 4.6
Input200,000 tokens
Output64,000 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Sonnet 4.6 and Mistral Large 3 (675B Instruct 2512 Eagle) support multimodal inputs.

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

Claude Sonnet 4.6

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 Eagle)

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Sonnet 4.6 is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512 Eagle) uses Apache 2.0.

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

Claude Sonnet 4.6

Proprietary

Closed source

Mistral Large 3 (675B Instruct 2512 Eagle)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Sonnet 4.6 was released on 2026-02-17, while Mistral Large 3 (675B Instruct 2512 Eagle) was released on 2025-12-04.

Claude Sonnet 4.6 is 3 months newer than Mistral Large 3 (675B Instruct 2512 Eagle).

Claude Sonnet 4.6

Feb 17, 2026

6 months ago

2mo newer
Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

9 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Claude Sonnet 4.6 and Mistral Large 3 (675B Instruct 2512 Eagle) side-by-side, then vote on the output you prefer.

Claude Sonnet 4.6
✓ Preferred
Mistral Large 3 (675B Instruct 2512 Eagle)
Open in Playground

FAQ

Common questions about Claude Sonnet 4.6 vs Mistral Large 3 (675B Instruct 2512 Eagle).

Which is better, Claude Sonnet 4.6 or Mistral Large 3 (675B Instruct 2512 Eagle)?

Claude Sonnet 4.6 leads the LLM Stats Score 37.3 to 8.5. Claude Sonnet 4.6 is made by Anthropic and Mistral Large 3 (675B Instruct 2512 Eagle) 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 Claude Sonnet 4.6 compare to Mistral Large 3 (675B Instruct 2512 Eagle) in benchmarks?

Claude Sonnet 4.6 scores Tau2 Telecom: 97.9%, Tau2 Retail: 91.7%, GPQA: 89.9%, MMMLU: 89.3%, SWE-Bench Verified: 79.6%. Mistral Large 3 (675B Instruct 2512 Eagle) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for Claude Sonnet 4.6 and Mistral Large 3 (675B Instruct 2512 Eagle)?

Claude Sonnet 4.6 supports 200K tokens and Mistral Large 3 (675B Instruct 2512 Eagle) 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 Claude Sonnet 4.6 and Mistral Large 3 (675B Instruct 2512 Eagle)?

Key differences include LLM Stats Score (37.3 vs 8.5), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Sonnet 4.6 and Mistral Large 3 (675B Instruct 2512 Eagle)?

Claude Sonnet 4.6 is developed by Anthropic and Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI.

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