Model Comparison

Mistral Large 3 (675B Base) vs Qwen3 VL 235B A22B ThinkingWhich is better in 2026?

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

Verdict: Mistral Large 3 (675B Base) vs Qwen3 VL 235B A22B Thinking — which is better?

Mistral Large 3 (675B Base) (by Mistral AI) and Qwen3 VL 235B A22B Thinking (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 Base) outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 1 benchmark (SimpleQA). Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

Choose Mistral Large 3 (675B Base) if…

  • you want the most recent training data — it shipped Dec 2025

Choose Qwen3 VL 235B A22B Thinking if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Mistral Large 3 (675B Base) outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 1 benchmark (SimpleQA).

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

439.0B diff

Mistral Large 3 (675B Base) has 439.0B more parameters than Qwen3 VL 235B A22B Thinking, making it 186.0% larger.

Mistral AI
Mistral Large 3 (675B Base)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
236.0Bparameters
675.0B
Mistral Large 3 (675B Base)
236.0B
Qwen3 VL 235B A22B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Thinking specifies output context (262,144 tokens).

Mistral AI
Mistral Large 3 (675B Base)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Large 3 (675B Base) and Qwen3 VL 235B A22B Thinking support multimodal inputs.

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

Mistral Large 3 (675B Base)

Text
Images
Audio
Video

Qwen3 VL 235B A22B Thinking

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 Base)

Apache 2.0

Open weights

Qwen3 VL 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 3 (675B Base) was released on 2025-12-04, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.

Mistral Large 3 (675B Base) is 2 months newer than Qwen3 VL 235B A22B Thinking.

Mistral Large 3 (675B Base)

Dec 4, 2025

7 months ago

2mo newer
Qwen3 VL 235B A22B Thinking

Sep 22, 2025

10 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→

Key Takeaways

Mistral AI

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

Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Higher SimpleQA score (44.4% vs 23.8%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Mistral Large 3 (675B Base) and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.

Mistral Large 3 (675B Base)
✓ Preferred
Qwen3 VL 235B A22B Thinking
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Mistral Large 3 (675B Base)
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking

FAQ

Common questions about Mistral Large 3 (675B Base) vs Qwen3 VL 235B A22B Thinking.

Which is better, Mistral Large 3 (675B Base) or Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks. Mistral Large 3 (675B Base) is made by Mistral AI and Qwen3 VL 235B A22B Thinking 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 Base) compare to Qwen3 VL 235B A22B Thinking in benchmarks?

Mistral Large 3 (675B Base) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%. Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

What are the context window sizes for Mistral Large 3 (675B Base) and Qwen3 VL 235B A22B Thinking?

Mistral Large 3 (675B Base) supports an unknown number of tokens and Qwen3 VL 235B A22B Thinking 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 Base) and Qwen3 VL 235B A22B Thinking?

Mistral Large 3 (675B Base) is developed by Mistral AI and Qwen3 VL 235B A22B Thinking is developed by Alibaba Cloud / Qwen Team.

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