DeepSeek V3.2
deepseek/deepseek-v3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance.
Key facts
- Input price
- $0.28 / 1M tokens
- Output price
- $0.42 / 1M tokens
- Context window
- 164K tokens
- Max output
- 147K tokens
- Accepts
- Text
- Returns
- Text
Example: 1,000 requests with 1,000 input and 500 output tokens each would cost about $0.49 (1M input tokens × $0.28 + 0.5M output tokens × $0.42). Estimate your own usage.
Prices are the provider’s own per-token rates with zero markup, from our price list as of Oct 18, 2026. If a call has extra provider charges (images, audio, web search, cached prompts), you pay the reported cost.
Call it from your code
curl https://api.tokenctr.com/v1/chat/completions \
-H "Authorization: Bearer $TOKENCENTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "deepseek/deepseek-v3.2", "messages": [{"role": "user", "content": "Hello!"}]}'Works with any OpenAI-compatible SDK: set the base URL to https://api.tokenctr.com/v1. Quickstart
Benchmarks
Artificial Analysis
- Intelligence index
- 21.5
- Coding index
- 44.2
Design Arena
| Category | Rank | Elo | Win rate |
|---|---|---|---|
| Models: ASCII art | 64 | 1085 | 40.5% |
| Models: 3D | 73 | 1133 | 49.4% |
| Models: Data visualization | 75 | 1160 | 48.2% |
| Models: Websites | 75 | 1176 | 50.2% |
| Models: UI components | 76 | 1148 | 46.8% |
| Models: Code | 77 | 1166 | 49.3% |
| Models: SVG | 77 | 1032 | 40.8% |
| Models: Game dev | 82 | 1135 | 46.5% |
Source: Artificial Analysis indexes and Design Arena results as published in OpenRouter’s model data, fetched Oct 15, 2026. Higher is better. Not measured by TokenCenter. See all rankings.