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Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen3.8 Max

Qwen3.8 Max significantly outperforms across most benchmarks.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Mistral Large 3 (675B Instruct 2512 NVFP4) outperforms in 0 benchmarks, while Qwen3.8 Max is better at 1 benchmark (GPQA). Qwen3.8 Max significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Mistral Large 3 (675B Instruct 2512 NVFP4)

  • you are already invested in the Mistral AI ecosystem

Choose Qwen3.8 Max

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Mistral Large 3 (675B Instruct 2512 NVFP4)
Mistral AI
Qwen3.8 Max
Alibaba Cloud / Qwen Team
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$1.65 / M
Output price
— / M
$4.95 / M
Context window
—
256,000
Released
Dec 2025
Aug 2026
License
Apache 2.0
Qwen3.8-Max License

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Mistral Large 3 (675B Instruct 2512 NVFP4) outperforms in 0 benchmarks, while Qwen3.8 Max is better at 1 benchmark (GPQA).

Qwen3.8 Max significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

1725.0B diff

Qwen3.8 Max has 1725.0B more parameters than Mistral Large 3 (675B Instruct 2512 NVFP4), making it 255.6% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)
2400.0B
Qwen3.8 Max

Context Window

Maximum input and output token capacity

Only Qwen3.8 Max specifies input context (256,000 tokens). Only Qwen3.8 Max specifies output context (131,072 tokens).

Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input256,000 tokens
Output131,072 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.8 Max support multimodal inputs.

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

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 3 (675B Instruct 2512 NVFP4) is licensed under Apache 2.0, while Qwen3.8 Max uses Qwen3.8-Max License.

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

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Qwen3.8 Max

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8 Max is 8 months newer than Mistral Large 3 (675B Instruct 2512 NVFP4).

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

8 months ago

Qwen3.8 Max

Aug 2, 2026

3 weeks ago

8mo 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→

Judge for yourself.

Run your own prompts against Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.8 Max side-by-side, then vote on the output you prefer.

Mistral Large 3 (675B Instruct 2512 NVFP4)
✓ Preferred
Qwen3.8 Max
Open in Playground

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen3.8 Max.

Which is better, Mistral Large 3 (675B Instruct 2512 NVFP4) or Qwen3.8 Max?

Qwen3.8 Max significantly outperforms across most benchmarks. Mistral Large 3 (675B Instruct 2512 NVFP4) is made by Mistral AI and Qwen3.8 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Mistral Large 3 (675B Instruct 2512 NVFP4) compare to Qwen3.8 Max in benchmarks?

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%. Qwen3.8 Max scores PaperBench: 93.0%, MRCR v2 (8-needle): 92.9%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%.

What are the context window sizes for Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.8 Max?

Mistral Large 3 (675B Instruct 2512 NVFP4) supports an unknown number of tokens and Qwen3.8 Max supports 256K 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 NVFP4) and Qwen3.8 Max?

Key differences include licensing (Apache 2.0 vs Qwen3.8-Max License). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.8 Max?

Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI and Qwen3.8 Max is developed by Alibaba Cloud / Qwen Team.

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