DeepSeek V3.2 vs o1-pro (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.2 vs. o1-pro
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Overview
o1-pro was released 8 months 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 | 200K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 65.5K tokens | 100K tokens |
Release Date When this model first became publicly available | December 1, 2025 7 months ago December 1st, 2025 | March 19, 2025 1 year ago March 19th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | October 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3.2 | o1-pro | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image📁File |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Optional |
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 significantly less expensive compared to o1-pro for input tokens and significantly less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.27 per million tokens | $150.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $600.00 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 | Not specified |
Benchmarks
Compare relevant benchmarks between DeepSeek V3.2 and o1-pro.
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 | 1,200 Elo (#55 in Website (50.1% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes DeepSeek V3.2 and o1-pro unique.
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