DeepSeek V3.1 vs Qwen2.5 VL 72B Instruct (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.1 vs. Qwen2.5 VL 72B Instruct
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Overview
Qwen2.5 VL 72B Instruct was released 6 months before DeepSeek V3.1.
 DeepSeek V3.1 |  Qwen2.5 VL 72B Instruct | |
|---|---|---|
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 | 128K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32.8K tokens | Not specified tokens |
Release Date When this model first became publicly available | August 21, 2025 11 months ago August 21st, 2025 | February 1, 2025 1 year ago February 1st, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2025 | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3.1 | Qwen2.5 VL 72B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image |
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 → | Available on HuggingFace → |
Pricing
DeepSeek V3.1 is roughly 1.0x less expensive compared to Qwen2.5 VL 72B Instruct for input tokens and roughly 1.3x more expensive for output tokens.
| DeepSeek V3.1 | Qwen2.5 VL 72B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.25 per million tokens | $0.25 per million tokens |
Output Token Cost Cost per million output tokens | $0.95 per million tokens | $0.75 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 V3.1 and Qwen2.5 VL 72B Instruct.
| DeepSeek V3.1 | Qwen2.5 VL 72B Instruct | |
|---|---|---|
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,144 Elo (#78 in Website (48.0% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes DeepSeek V3.1 and Qwen2.5 VL 72B Instruct unique.
DeepSeek V3.1 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 $0.25/M input and $0.95/M output tokens. Released August 21st, 2025.Qwen2.5 VL 72B Instruct by Qwen understands both text and images, generates structured data. It can handle standard conversations with its 128K token context window. Very affordable at $0.25/M input and $0.75/M output tokens. Released February 1st, 2025.Explore More Comparisons
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Compare Qwen2.5 VL 72B Instruct with:
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