Model Comparison
GPT-5.1 Codex Mini vs Qwen3 32B
Qwen3 32B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.1 Codex Mini outperforms in 0 benchmarks, while Qwen3 32B is better at 1 benchmark (AIME 2025).
Qwen3 32B 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 Qwen3 32B specifies input context (128,000 tokens). Only Qwen3 32B specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
GPT-5.1 Codex Mini supports multimodal inputs, whereas Qwen3 32B does not.
GPT-5.1 Codex Mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.1 Codex Mini
Qwen3 32B
License
Usage and distribution terms
GPT-5.1 Codex Mini is licensed under a proprietary license, while Qwen3 32B 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
GPT-5.1 Codex Mini was released on 2025-11-12, while Qwen3 32B was released on 2025-04-29.
GPT-5.1 Codex Mini is 7 months newer than Qwen3 32B.
Nov 12, 2025
5 months ago
6mo newerApr 29, 2025
11 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 32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-5.1 Codex Mini vs Qwen3 32B