DeepSeek V3.2 vs GPT-5 Codex (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.2 vs. GPT-5 Codex
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Overview
GPT-5 Codex was released 2 months before DeepSeek V3.2.
 DeepSeek V3.2 |  GPT-5 Codex | |
|---|---|---|
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 | 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 | September 23, 2025 10 months ago September 23rd, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | September 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3.2 | GPT-5 Codex | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Always enabled |
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 Codex for input tokens and roughly 0.04x less expensive for output tokens.
| DeepSeek V3.2 | GPT-5 Codex | |
|---|---|---|
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 Codex.
| DeepSeek V3.2 | GPT-5 Codex | |
|---|---|---|
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 (50.2% win rate)) | 1,138 Elo (#26 in Webapps (52.4% win rate)) |
At a Glance
Quick overview of what makes DeepSeek V3.2 and GPT-5 Codex 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.GPT-5 Codex 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 400K token context window. Reasonably priced at $1.25/M input and $10.00/M output tokens. Includes built-in content moderation for safer outputs. Released September 23rd, 2025.Explore More Comparisons
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Compare GPT-5 Codex 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
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