DeepSeek V3.2 vs GPT-5 nano
Compare DeepSeek and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
DeepSeek V3.2
GPT-5 nano
Cost Differences
GPT-5 nano costs less than DeepSeek V3.2
Feature Comparison
| Feature | DeepSeek V3.2 | GPT-5 nano |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Input Price | $0.28/1M tokens | $0.05/1M tokens |
| Output Price | $0.42/1M tokens | $0.40/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 8,192 tokens |
| Category | efficient | efficient |
| Capabilities | textcodereasoning | text |
| Release Date | 12/1/2025 | 8/7/2025 |
DeepSeek V3.2 vs GPT-5 nano: Which Should You Choose?
Choosing between DeepSeek V3.2 and GPT-5 nano depends on your priorities: cost efficiency, context length, or raw capability. GPT-5 nano is the more affordable option at $0.05/1M input tokens — 82% cheaper than DeepSeek V3.2.
These models come from different providers — DeepSeek and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with DeepSeek, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: GPT-5 nano would save you roughly $72.00/month compared to DeepSeek V3.2. For startups and indie developers, that difference can be significant.
Output costs matter too. DeepSeek V3.2 charges $0.42/1M output tokens vs $0.40 for GPT-5 nano. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5 nano has the edge here at $0.40/1M output tokens.
Best Use Cases
Choose DeepSeek V3.2 when:
- • You need more capabilities (code, reasoning)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using DeepSeek's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose GPT-5 nano when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
DeepSeek V3.2 (DeepSeek)
GPT-5 nano (OpenAI)
Start using DeepSeek V3.2 today
Sign Up for DeepSeek →Start using GPT-5 nano today
Sign Up for OpenAI →