Mercury 2 vs Qwen3 VL 32B Thinking Comparison
Comparing Mercury 2 and Qwen3 VL 32B Thinking across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Mercury 2 outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3 VL 32B Thinking is better at 0 benchmarks.
Mercury 2 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Mercury 2 specifies input context (128,000 tokens). Only Mercury 2 specifies output context (8,192 tokens).
Input Capabilities
Supported data types and modalities
Qwen3 VL 32B Thinking supports multimodal inputs, whereas Mercury 2 does not.
Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mercury 2
Qwen3 VL 32B Thinking
License
Usage and distribution terms
Mercury 2 is licensed under a proprietary license, while Qwen3 VL 32B Thinking uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Mercury 2 was released on 2026-02-24, while Qwen3 VL 32B Thinking was released on 2025-09-22.
Mercury 2 is 5 months newer than Qwen3 VL 32B Thinking.
Feb 24, 2026
3 weeks ago
5mo newerSep 22, 2025
5 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
Mercury 2
View detailsInception
Qwen3 VL 32B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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