Model Comparison
GPT-5 mini vs Qwen3 32BWhich is better in 2026?
GPT-5 mini significantly outperforms across most benchmarks. Qwen3 32B is 4.6x cheaper per token.
Verdict: GPT-5 mini vs Qwen3 32B — which is better?
GPT-5 mini (by OpenAI) and Qwen3 32B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-5 mini outperforms in 1 benchmarks (AIME 2025), while Qwen3 32B is better at 0 benchmarks. GPT-5 mini significantly outperforms across most benchmarks.
On price, Qwen3 32B is roughly 4.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5 mini also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5 mini if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Aug 2025
Choose Qwen3 32B if…
- cost matters — it's about 4.6x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 mini outperforms in 1 benchmarks (AIME 2025), while Qwen3 32B is better at 0 benchmarks.
GPT-5 mini significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5 mini ($0.25/1M tokens) is 2.5x more expensive than Qwen3 32B ($0.10/1M tokens).
For output processing, GPT-5 mini ($2.00/1M tokens) is 6.7x more expensive than Qwen3 32B ($0.30/1M tokens).
In conclusion, GPT-5 mini is more expensive than Qwen3 32B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5 mini accepts 400,000 input tokens compared to Qwen3 32B's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GPT-5 mini supports multimodal inputs, whereas Qwen3 32B does not.
GPT-5 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5 mini
Qwen3 32B
License
Usage and distribution terms
GPT-5 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 mini was released on 2025-08-07, while Qwen3 32B was released on 2025-04-29.
GPT-5 mini is 3 months newer than Qwen3 32B.
Aug 7, 2025
10 months ago
3mo newerApr 29, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
GPT-5 mini has a documented knowledge cutoff of 2024-05-30, while Qwen3 32B's cutoff date is not specified.
We can confirm GPT-5 mini's training data extends to 2024-05-30, but cannot make a direct comparison without Qwen3 32B's cutoff date.
May 2024
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Provider Availability
GPT-5 mini is available from OpenAI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.
GPT-5 mini
Qwen3 32B
Outputs Comparison
Key Takeaways
GPT-5 mini
View detailsOpenAI
Qwen3 32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5 mini and Qwen3 32B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-5 mini vs Qwen3 32B.