DeepSeek V3.2 (正式版)vsGPT-5.5
DeepSeek vs OpenAI
Overview
The most compelling cost-performance comparison. DeepSeek V3.2 costs just $0.28/1M input tokens — roughly 1/9th of GPT-5.5's $2.5/1M. While GPT-5.5 delivers top-tier reasoning (GPQA Diamond 93.6, ARC-AGI-2 85.0), DeepSeek V3.2's price disruption covers a wide range of use cases.
Specs & Pricing
| DeepSeek V3.2 (正式版) | GPT-5.5 | |
|---|---|---|
| Developer | DeepSeek | OpenAI |
| Type | foundation | foundation |
| Parameters | 非公開 | 非公開 |
| Context Window | — | — |
| Open Source | ✓ | — |
| Input Price (/1M tokens) | $0.28 | $2.5 |
| Output Price (/1M tokens) | — | — |
Recommendations by Use Case
Which model fits your task best
DeepSeek V3.2 costs $0.28/1M input tokens — roughly 1/9th of GPT-5.5. Unbeatable for high-volume API calls and cost-sensitive use cases.
GPT-5.5 delivers top-tier reasoning: GPQA Diamond 93.6, ARC-AGI-2 85.0, HLE 52.2. For complex reasoning tasks, GPT-5.5 is the clear winner.
GPT-5.5's SWE-bench Pro 58.6 demonstrates strong reliability in practical coding tasks. DeepSeek V3.2's coding benchmarks are unverified.
Frequently Asked Questions
Can DeepSeek V3.2 replace GPT-5.5?
For cost-sensitive use cases (bulk text generation, classification, summarization), yes. But for top-tier reasoning and complex coding, GPT-5.5 remains superior.
How big is the price gap?
DeepSeek V3.2: $0.28/1M input tokens vs GPT-5.5: $2.5/1M. Roughly 9x price difference — significant at scale.