o4 Mini Deep Research vs Qwen3 235B A22B Thinking 2507 (Comparative Analysis)
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Comparative Analysis: o4 Mini Deep Research vs. Qwen3 235B A22B Thinking 2507
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Overview
Qwen3 235B A22B Thinking 2507 was released 2 months before o4 Mini Deep Research.
 o4 Mini Deep Research |  Qwen3 235B A22B Thinking 2507 | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Qwen |
Input Context Window Maximum input tokens this model can process at once | 200K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 100K tokens | 32.8K tokens |
Release Date When this model first became publicly available | October 10, 2025 9 months ago October 10th, 2025 | July 25, 2025 1 year ago July 25th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | June 30, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
o4 Mini Deep Research | Qwen3 235B A22B Thinking 2507 | |
|---|---|---|
Input Types Supported input formats | 📁File🖼️Image📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Always enabled |
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 Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
o4 Mini Deep Research is roughly 6.7x more expensive compared to Qwen3 235B A22B Thinking 2507 for input tokens and roughly 2.7x more expensive for output tokens.
| o4 Mini Deep Research | Qwen3 235B A22B Thinking 2507 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $2.00 per million tokens | $0.30 per million tokens |
Output Token Cost Cost per million output tokens | $8.00 per million tokens | $3.00 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 | $0.50 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between o4 Mini Deep Research and Qwen3 235B A22B Thinking 2507.
| o4 Mini Deep Research | Qwen3 235B A22B Thinking 2507 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 19.6 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 22.1 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 3.8 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,078 Elo (#92 in Website (42.1% win rate)) |
At a Glance
Quick overview of what makes o4 Mini Deep Research and Qwen3 235B A22B Thinking 2507 unique.
o4 Mini Deep Research 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 200K token context window. Reasonably priced at $2.00/M input and $8.00/M output tokens. Includes built-in content moderation for safer outputs. Released October 10th, 2025.Qwen3 235B A22B Thinking 2507 by Qwen can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 262.1K token context window. Reasonably priced at $0.30/M input and $3.00/M output tokens. Released July 25th, 2025.Explore More Comparisons
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Compare Qwen3 235B A22B Thinking 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