Model Comparison

Mistral Large 2 vs Mistral Large 3 (675B Instruct 2512 NVFP4)

Comparing Mistral Large 2 and Mistral Large 3 (675B Instruct 2512 NVFP4) across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Large 2 and Mistral Large 3 (675B Instruct 2512 NVFP4) don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

552.0B diff

Mistral Large 3 (675B Instruct 2512 NVFP4) has 552.0B more parameters than Mistral Large 2, making it 448.8% larger.

Mistral AI
Mistral Large 2
123.0Bparameters
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
123.0B
Mistral Large 2
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Thu Jun 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas Mistral Large 2 does not.

Mistral Large 3 (675B Instruct 2512 NVFP4) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 2

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 2 is licensed under Mistral Research 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.

Mistral Large 2

Mistral Research License

Open weights

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 2 was released on 2024-07-24, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

Mistral Large 3 (675B Instruct 2512 NVFP4) is 17 months newer than Mistral Large 2.

Mistral Large 2

Jul 24, 2024

1.9 years ago

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

6 months ago

1.4yr newer

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

Key Takeaways

Larger context window (128,000 tokens)
Supports multimodal inputs

Detailed Comparison

FAQ

Common questions about Mistral Large 2 vs Mistral Large 3 (675B Instruct 2512 NVFP4).

Which is better, Mistral Large 2 or Mistral Large 3 (675B Instruct 2512 NVFP4)?

Mistral Large 2 (Mistral AI) and Mistral Large 3 (675B Instruct 2512 NVFP4) (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Mistral Large 2 compare to Mistral Large 3 (675B Instruct 2512 NVFP4) in benchmarks?

Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%. 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%.

What are the context window sizes for Mistral Large 2 and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Mistral Large 2 supports 128K 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.

What are the main differences between Mistral Large 2 and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Key differences include multimodal support (no vs yes), licensing (Mistral Research License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.