Model Comparison

GPT-5 mini vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks. GPT-5 mini is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-5 mini outperforms in 1 benchmarks (GPQA), while Qwen3-235B-A22B-Thinking-2507 is better at 2 benchmarks (AIME 2025, Humanity's Last Exam).

Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5 mini costs less

For input processing, GPT-5 mini ($0.25/1M tokens) is 1.2x cheaper than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, GPT-5 mini ($2.00/1M tokens) is 1.5x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than GPT-5 mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
OpenAI
GPT-5 mini
Input tokens$0.25
Output tokens$2.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input tokens$0.30
Output tokens$3.00
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5 mini accepts 400,000 input tokens compared to Qwen3-235B-A22B-Thinking-2507's 262,144 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while GPT-5 mini is limited to 128,000 tokens.

OpenAI
GPT-5 mini
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 mini supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 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

Text
Images
Audio
Video

Qwen3-235B-A22B-Thinking-2507

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 mini is licensed under a proprietary license, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5 mini

Proprietary

Closed source

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 mini was released on 2025-08-07, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

GPT-5 mini is 0 month newer than Qwen3-235B-A22B-Thinking-2507.

GPT-5 mini

Aug 7, 2025

8 months ago

1w newer
Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

8 months ago

Knowledge Cutoff

When training data ends

GPT-5 mini has a documented knowledge cutoff of 2024-05-30, while Qwen3-235B-A22B-Thinking-2507'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 Qwen3-235B-A22B-Thinking-2507's cutoff date.

GPT-5 mini

May 2024

Qwen3-235B-A22B-Thinking-2507

—

Provider Availability

GPT-5 mini is available from OpenAI. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

GPT-5 mini

openai logo
OpenAI
Input Price:Input: $0.25/1MOutput Price:Output: $2.00/1M

Qwen3-235B-A22B-Thinking-2507

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (82.3% vs 81.1%)
Alibaba Cloud / Qwen Team
Has open weights
Higher AIME 2025 score (92.3% vs 91.1%)
Higher Humanity's Last Exam score (18.2% vs 16.7%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5 mini
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about GPT-5 mini vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks. GPT-5 mini is made by OpenAI and Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.
GPT-5 mini is 1.2x cheaper for input tokens. GPT-5 mini costs $0.25/M input and $2.00/M output via openai. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks.
GPT-5 mini supports 400K tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 262K), input pricing ($0.25 vs $0.30/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-5 mini is developed by OpenAI and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.