DeepSeek V3.2 vs o1 (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.2 vs. o1
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Overview
o1 was released 11 months before DeepSeek V3.2.
 DeepSeek V3.2 |  o1 | |
|---|---|---|
Model Provider The organization behind this AI's development | DeepSeek | OpenAI |
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 | December 17, 2024 1 year ago December 17th, 2024 |
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 | |
|---|---|---|
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 roughly 0.02x less expensive compared to o1 for input tokens and significantly less expensive for output tokens.
| DeepSeek V3.2 | o1 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.27 per million tokens | $15.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $60.00 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 | $7.50 per million tokens |
Benchmarks
Compare relevant benchmarks between DeepSeek V3.2 and o1.
| DeepSeek V3.2 | o1 | |
|---|---|---|
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) | 39.7 (Artificial Analysis index; higher is better) |
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 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.o1 by OpenAI understands both text and images, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 200K token context window. Premium pricing at $15.00/M input and $60.00/M output tokens. Includes built-in content moderation for safer outputs. Released December 17th, 2024.Explore More Comparisons
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📢Marketing
Content creation and marketing tasks
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🔬Science
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