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Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen3.8-27B

Qwen3.8-27B 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 Qwen3.8-27B is better at 1 benchmark (GPQA). Qwen3.8-27B 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 Qwen3.8-27B

  • 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.

Benchmark wins
0 of 1
1 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Dec 2025
Aug 2026
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Mistral Large 3 (675B Instruct 2512 NVFP4) outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA).

Qwen3.8-27B significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

647.2B diff

Mistral Large 3 (675B Instruct 2512 NVFP4) has 647.2B more parameters than Qwen3.8-27B, making it 2329.7% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)
27.8B
Qwen3.8-27B

Input Capabilities

Supported data types and modalities

Both Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.8-27B 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

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B 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

Qwen3.8-27B

Aug 14, 2026

1 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 Qwen3.8-27B side-by-side, then vote on the output you prefer.

Mistral Large 3 (675B Instruct 2512 NVFP4)
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen3.8-27B.

Which is better, Mistral Large 3 (675B Instruct 2512 NVFP4) or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. Mistral Large 3 (675B Instruct 2512 NVFP4) is made by Mistral AI and Qwen3.8-27B 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 Qwen3.8-27B 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%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

Who makes Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.8-27B?

Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.