Model Comparison

Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen3.5-27BWhich is better in 2026?

Qwen3.5-27B significantly outperforms across most benchmarks.

Verdict: Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen3.5-27B — which is better?

Mistral Large 3 (675B Instruct 2512 NVFP4) (by Mistral AI) and Qwen3.5-27B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Mistral Large 3 (675B Instruct 2512 NVFP4) outperforms in 0 benchmarks, while Qwen3.5-27B is better at 2 benchmarks (GPQA, MMMLU). Qwen3.5-27B significantly outperforms across most benchmarks.

Choose Mistral Large 3 (675B Instruct 2512 NVFP4) if…

  • you are already invested in the Mistral AI ecosystem

Choose Qwen3.5-27B if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Feb 2026

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mistral Large 3 (675B Instruct 2512 NVFP4) outperforms in 0 benchmarks, while Qwen3.5-27B is better at 2 benchmarks (GPQA, MMMLU).

Qwen3.5-27B significantly outperforms across most benchmarks.

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

648.0B diff

Mistral Large 3 (675B Instruct 2512 NVFP4) has 648.0B more parameters than Qwen3.5-27B, making it 2400.0% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-27B
27.0Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)
27.0B
Qwen3.5-27B

Context Window

Maximum input and output token capacity

Only Qwen3.5-27B specifies input context (262,144 tokens). Only Qwen3.5-27B specifies output context (65,536 tokens).

Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.5-27B
Input262,144 tokens
Output65,536 tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.5-27B 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

Qwen3.5-27B

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

Qwen3.5-27B

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 Qwen3.5-27B was released on 2026-02-24.

Qwen3.5-27B is 3 months newer than Mistral Large 3 (675B Instruct 2512 NVFP4).

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

7 months ago

Qwen3.5-27B

Feb 24, 2026

5 months ago

2mo 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

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team

Qwen3.5-27B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Higher GPQA score (85.5% vs 43.9%)
Higher MMMLU score (85.9% vs 85.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.5-27B side-by-side, then vote on the output you prefer.

Mistral Large 3 (675B Instruct 2512 NVFP4)
✓ Preferred
Qwen3.5-27B
Open in Playground

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen3.5-27B.

Which is better, Mistral Large 3 (675B Instruct 2512 NVFP4) or Qwen3.5-27B?

Qwen3.5-27B significantly outperforms across most benchmarks. Mistral Large 3 (675B Instruct 2512 NVFP4) is made by Mistral AI and Qwen3.5-27B 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 Qwen3.5-27B 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%. Qwen3.5-27B scores CountBench: 97.8%, VLMsAreBlind: 96.9%, IFEval: 95.0%, V*: 93.7%, MMLU-Redux: 93.2%.

What are the context window sizes for Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.5-27B?

Mistral Large 3 (675B Instruct 2512 NVFP4) supports an unknown number of tokens and Qwen3.5-27B supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.5-27B?

Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI and Qwen3.5-27B is developed by Alibaba Cloud / Qwen Team.