DeepSeek V3.2 vs Qwen-Plus (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.2 vs. Qwen-Plus
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Overview
Qwen-Plus was released 10 months before DeepSeek V3.2.
 DeepSeek V3.2 |  Qwen-Plus | |
|---|---|---|
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 | 1M 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 | February 1, 2025 1 year ago February 1st, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | March 31, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3.2 | Qwen-Plus | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | DeepSeek | Qwen |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
DeepSeek V3.2 is roughly 1.0x more expensive compared to Qwen-Plus for input tokens and roughly 0.5x less expensive for output tokens.
| DeepSeek V3.2 | Qwen-Plus | |
|---|---|---|
Short Context Pricing Base rates before a long-context threshold applies | ||
Input Token Cost Cost per million input tokens | $0.27 per million tokens | $0.26 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $0.78 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.13 per million tokens | $0.05 per million tokens |
Cache Write Cost Cost to write input tokens to the cache | Not specified | $0.33 per million tokens |
Long Context Pricing Rates for prompts with 256,000 or more tokens | ||
Input Token Cost Long-context input cost per million tokens | Not specified | $0.78 per million tokens |
Output Token Cost Long-context output cost per million tokens | Not specified | $2.34 per million tokens |
Cache Read Cost Long-context cache read cost per million tokens | Not specified | $0.16 per million tokens |
Cache Write Cost Long-context cache write cost per million tokens | Not specified | $0.97 per million tokens |
Benchmarks
Compare relevant benchmarks between DeepSeek V3.2 and Qwen-Plus.
| DeepSeek V3.2 | Qwen-Plus | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 32 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 44.2 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 18.3 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,199 Elo (#55 in Website (50.2% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes DeepSeek V3.2 and Qwen-Plus 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.Qwen-Plus by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.26/M input and $0.78/M output tokens. Released February 1st, 2025.Explore More Comparisons
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