DeepSeek V3.2 vs GPT-5.1 (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.2 vs. GPT-5.1
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Overview
GPT-5.1 was released 18 days before DeepSeek V3.2.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 163.8K tokens | 400K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 65.5K tokens | 128K tokens |
Release Date When this model first became publicly available | December 1, 2025 7 months ago December 1st, 2025 | November 13, 2025 8 months ago November 13th, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3.2 | GPT-5.1 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 🖼️Image📝Text📁File |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Enabled by defaultEffort: High, Medium, Low, NoneDefault: None |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | DeepSeek | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
DeepSeek V3.2 is roughly 0.2x less expensive compared to GPT-5.1 for input tokens and roughly 0.04x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.27 per million tokens | $1.25 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $10.00 per million tokens |
Web Search Cost Additional cost for each web search operation | Not specified | $0.01 per search |
Cache Read Cost Cost to reuse cached input tokens | $0.13 per million tokens | $0.13 per million tokens |
Benchmarks
Compare relevant benchmarks between DeepSeek V3.2 and GPT-5.1.
Intelligence Index Overall model quality across independent evaluations | 32 (Artificial Analysis index; higher is better) | 36.9 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 44.2 (Artificial Analysis index; higher is better) | 49.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 18.3 (Artificial Analysis index; higher is better) | 21 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,199 Elo (#55 in Website (50.2% win rate)) | 1,236 Elo (#36 in Game Dev (55.9% win rate)) |
At a Glance
Quick overview of what makes DeepSeek V3.2 and GPT-5.1 unique.
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Compare GPT-5.1 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