Model Comparison
Pixtral-12B vs Qwen2.5 VL 32B Instruct
Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Pixtral-12B outperforms in 0 benchmarks, while Qwen2.5 VL 32B Instruct is better at 5 benchmarks (DocVQA, HumanEval, MATH, MMLU, MMMU).
Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen2.5 VL 32B Instruct has 21.1B more parameters than Pixtral-12B, making it 170.2% larger.
Context Window
Maximum input and output token capacity
Only Pixtral-12B specifies input context (128,000 tokens). Only Pixtral-12B specifies output context (8,192 tokens).
Input Capabilities
Supported data types and modalities
Both Pixtral-12B and Qwen2.5 VL 32B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Pixtral-12B
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
Pixtral-12B was released on 2024-09-17, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Qwen2.5 VL 32B Instruct is 5 months newer than Pixtral-12B.
Sep 17, 2024
1.7 years ago
Feb 28, 2025
1.2 years ago
5mo newerKnowledge 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
Pixtral-12B
View detailsMistral AI
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Pixtral-12B vs Qwen2.5 VL 32B Instruct.