Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen3-235B-A22B-Thinking-2507 Comparison
Comparing Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3-235B-A22B-Thinking-2507 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Large 3 (675B Instruct 2512 NVFP4) outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 1 benchmark (GPQA).
Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Mistral Large 3 (675B Instruct 2512 NVFP4) has 440.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 187.2% larger.
Context Window
Maximum input and output token capacity
Only Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.
Mistral Large 3 (675B Instruct 2512 NVFP4) can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Large 3 (675B Instruct 2512 NVFP4)
Qwen3-235B-A22B-Thinking-2507
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 Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.
Mistral Large 3 (675B Instruct 2512 NVFP4) is 4 months newer than Qwen3-235B-A22B-Thinking-2507.
Dec 4, 2025
3 months ago
4mo newerJul 25, 2025
7 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
Qwen3-235B-A22B-Thinking-2507
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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