DeepSeek R1 V3.2 vs o4-mini Deep Research
Compare DeepSeek and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
DeepSeek R1 V3.2
o4-mini Deep Research
Cost Differences
o4-mini Deep Research costs more than DeepSeek R1 V3.2
Feature Comparison
| Feature | DeepSeek R1 V3.2 | o4-mini Deep Research |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Input Price | $0.28/1M tokens | $2.00/1M tokens |
| Output Price | $0.42/1M tokens | $8.00/1M tokens |
| Context Window | 128,000 tokens | 200,000 tokens |
| Max Output | 65,536 tokens | 32,768 tokens |
| Category | reasoning | reasoning |
| Capabilities | textreasoningcode | textreasoningcode |
| Release Date | 1/20/2025 | 6/26/2025 |
DeepSeek R1 V3.2 vs o4-mini Deep Research: Which Should You Choose?
Choosing between DeepSeek R1 V3.2 and o4-mini Deep Research depends on your priorities: cost efficiency, context length, or raw capability. DeepSeek R1 V3.2 is the more affordable option at $0.28/1M input tokens — 86% cheaper than o4-mini Deep Research. Meanwhile, o4-mini Deep Research offers a significantly larger context window at 200,000 tokens vs 128,000 for DeepSeek R1 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 reasoning category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: DeepSeek R1 V3.2 would save you roughly $1,653.00/month compared to o4-mini Deep Research. For startups and indie developers, that difference can be significant.
Output costs matter too. DeepSeek R1 V3.2 charges $0.42/1M output tokens vs $8.00 for o4-mini Deep Research. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. DeepSeek R1 V3.2 has the edge here at $0.42/1M output tokens.
Best Use Cases
Choose DeepSeek R1 V3.2 when:
- • Budget is a primary concern
- • You need longer outputs (up to 65,536 tokens)
- • You're already using DeepSeek's API ecosystem
Choose o4-mini Deep Research when:
- • You need a larger context window (200,000 tokens)
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
DeepSeek R1 V3.2 (DeepSeek)
o4-mini Deep Research (OpenAI)
Start using DeepSeek R1 V3.2 today
Sign Up for DeepSeek →Start using o4-mini Deep Research today
Sign Up for OpenAI →