Model Comparison
Mistral Large 3 vs Qwen2.5 VL 32B Instruct
Mistral Large 3 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Large 3 outperforms in 1 benchmarks (MATH), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.
Mistral Large 3 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 has 641.5B more parameters than Qwen2.5 VL 32B Instruct, making it 1914.9% larger.
Context Window
Maximum input and output token capacity
Only Mistral Large 3 specifies input context (128,000 tokens). Only Mistral Large 3 specifies output context (8,192 tokens).
Input Capabilities
Supported data types and modalities
Both Mistral Large 3 and Qwen2.5 VL 32B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Large 3
Qwen2.5 VL 32B Instruct
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 was released on 2025-09-01, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Mistral Large 3 is 6 months newer than Qwen2.5 VL 32B Instruct.
Sep 1, 2025
7 months ago
6mo newerFeb 28, 2025
1.1 years 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
Mistral Large 3
View detailsMistral AI
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Mistral Large 3 vs Qwen2.5 VL 32B Instruct