DeepSeek V3.2 vs Qwen3 235B A22B Thinking 2507 (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.2 vs. Qwen3 235B A22B Thinking 2507
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Overview
Qwen3 235B A22B Thinking 2507 was released 4 months before DeepSeek V3.2.
 DeepSeek V3.2 |  Qwen3 235B A22B Thinking 2507 | |
|---|---|---|
Model Provider The organization behind this AI's development | DeepSeek | Qwen |
Input Context Window Maximum input tokens this model can process at once | 163.8K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 65.5K tokens | 32.8K tokens |
Release Date When this model first became publicly available | December 1, 2025 7 months ago December 1st, 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
DeepSeek V3.2 | Qwen3 235B A22B Thinking 2507 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Always enabled |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | DeepSeek | Qwen3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
DeepSeek V3.2 is roughly 0.9x less expensive compared to Qwen3 235B A22B Thinking 2507 for input tokens and roughly 0.1x less expensive for output tokens.
| DeepSeek V3.2 | Qwen3 235B A22B Thinking 2507 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.27 per million tokens | $0.30 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $3.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.13 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between DeepSeek V3.2 and Qwen3 235B A22B Thinking 2507.
| DeepSeek V3.2 | Qwen3 235B A22B Thinking 2507 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 32 (Artificial Analysis index; higher is better) | 19.6 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 44.2 (Artificial Analysis index; higher is better) | 22.1 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 18.3 (Artificial Analysis index; higher is better) | 3.8 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,200 Elo (#55 in Website (50.1% win rate)) | 1,079 Elo (#91 in Website (42.1% win rate)) |
At a Glance
Quick overview of what makes DeepSeek V3.2 and Qwen3 235B A22B Thinking 2507 unique.
DeepSeek V3.2 by DeepSeek can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 163.8K token context window. Very affordable at $0.27/M input and $0.40/M output tokens. Released December 1st, 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