Model Comparison
Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Instruct 2512 NVFP4) vs Qwen3 VL 235B A22B Thinking — which is better?
Mistral Large 3 (675B Instruct 2512 NVFP4) (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 Instruct 2512 NVFP4) 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 Instruct 2512 NVFP4) 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
Mistral Large 3 (675B Instruct 2512 NVFP4) 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.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Mistral Large 3 (675B Instruct 2512 NVFP4) has 439.0B more parameters than Qwen3 VL 235B A22B Thinking, making it 186.0% larger.
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).
Input Capabilities
Supported data types and modalities
Both Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Instruct 2512 NVFP4)
Qwen3 VL 235B A22B Thinking
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
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 VL 235B A22B Thinking was released on 2025-09-22.
Mistral Large 3 (675B Instruct 2512 NVFP4) is 2 months newer than Qwen3 VL 235B A22B Thinking.
Dec 4, 2025
6 months ago
2mo newerSep 22, 2025
9 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
No standout differentiators in the data we have for this pair.
Qwen3 VL 235B A22B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen3 VL 235B A22B Thinking.
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