GPT-5 Mini vs Qwen3 235B A22B Instruct 2507 (Comparative Analysis)
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Comparative Analysis: GPT-5 Mini vs. Qwen3 235B A22B Instruct 2507
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Overview
Qwen3 235B A22B Instruct 2507 was released 17 days before GPT-5 Mini.
 GPT-5 Mini |  Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Qwen |
Input Context Window Maximum input tokens this model can process at once | 400K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | 16.4K tokens |
Release Date When this model first became publicly available | August 7, 2025 11 months ago August 7th, 2025 | July 21, 2025 1 year ago July 21st, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | May 31, 2024 | June 30, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-5 Mini | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: High, Medium, Low, MinimalDefault: Medium | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Qwen3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-5 Mini is roughly 2.8x more expensive compared to Qwen3 235B A22B Instruct 2507 for input tokens and roughly 3.6x more expensive for output tokens.
| GPT-5 Mini | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.25 per million tokens | $0.09 per million tokens |
Output Token Cost Cost per million output tokens | $2.00 per million tokens | $0.55 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search | Not specified |
Cache Read Cost Cost to reuse cached input tokens | $0.02 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GPT-5 Mini and Qwen3 235B A22B Instruct 2507.
| GPT-5 Mini | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 25.3 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 15.6 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 19.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,186 Elo (#58 in Game Dev (46.5% win rate)) | 1,091 Elo (#85 in Data Viz (47.7% win rate)) |
At a Glance
Quick overview of what makes GPT-5 Mini and Qwen3 235B A22B Instruct 2507 unique.
GPT-5 Mini by OpenAI understands both text and images, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 400K token context window. Reasonably priced at $0.25/M input and $2.00/M output tokens. Includes built-in content moderation for safer outputs. Released August 7th, 2025.Qwen3 235B A22B Instruct 2507 by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 262.1K token context window. Very affordable at $0.09/M input and $0.55/M output tokens. Released July 21st, 2025.Explore More Comparisons
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Compare Qwen3 235B A22B Instruct 2507 with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
🌐Translation
Multilingual translation tasks