Compare DeepSeek V3.2 from DeepSeek and GPT-5.2 Chat from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.


DeepSeek V3.2 and GPT-5.2 Chat are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.
DeepSeek V3.2, from DeepSeek, has a 163,840-token context window and is priced at $0.2088/M tokens input, $0.3096/M tokens output on OpenRouter.
GPT-5.2 Chat, from OpenAI, has a 128,000-token context window and is priced at $1.75/M tokens input, $14/M tokens output on OpenRouter.
| Attribute | DeepSeek V3.2 | GPT-5.2 Chat |
|---|---|---|
| Input price | $0.2088/M tokens | $1.75/M tokens |
| Output price | $0.3096/M tokens | $14/M tokens |
| Context window | 163,840 tokens | 128,000 tokens |
| Intelligence Index | 21.5 | Not available |
| Coding Index | 44.2 | Not available |
| Agentic Index | Not available | Not available |
| Latency (p50) | 1.78 s | Not available |
| Throughput (p50) | 48.0 tok/s | Not available |
Benchmark data updated
DeepSeek V3.2 is cheaper than GPT-5.2 Chat on OpenRouter: DeepSeek V3.2 costs $0.2088/M tokens input and $0.3096/M tokens output, while GPT-5.2 Chat costs $1.75/M tokens input and $14/M tokens output.
DeepSeek V3.2 has the longer context window at 163,840 tokens, compared with 128,000 tokens for GPT-5.2 Chat.