DeepSeek R1 V3.2 vs GPT-5 mini
Compare DeepSeek and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
DeepSeek R1 V3.2
GPT-5 mini
Cost Differences
GPT-5 mini costs more than DeepSeek R1 V3.2
Feature Comparison
| Feature | DeepSeek R1 V3.2 | GPT-5 mini |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Input Price | $0.28/1M tokens | $0.25/1M tokens |
| Output Price | $0.42/1M tokens | $2.00/1M tokens |
| Context Window | 128,000 tokens | 500,000 tokens |
| Max Output | 65,536 tokens | 65,536 tokens |
| Category | reasoning | efficient |
| Capabilities | textreasoningcode | textvisioncode |
| Release Date | 1/20/2025 | 8/7/2025 |
DeepSeek R1 V3.2 vs GPT-5 mini: Which Should You Choose?
Choosing between DeepSeek R1 V3.2 and GPT-5 mini 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. Meanwhile, GPT-5 mini offers a significantly larger context window at 500,000 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.
These models target different tiers: DeepSeek R1 V3.2 is a reasoning model while GPT-5 mini is efficient. This means they're optimized for different workloads. DeepSeek R1 V3.2 is built for complex tasks that require deeper reasoning, while GPT-5 mini offers better value for routine operations.
Output costs matter too. DeepSeek R1 V3.2 charges $0.42/1M output tokens vs $2.00 for GPT-5 mini. 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.
Multimodal capabilities: GPT-5 mini supports vision (image inputs) while DeepSeek R1 V3.2 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose DeepSeek R1 V3.2 when:
- • You're already using DeepSeek's API ecosystem
Choose GPT-5 mini when:
- • Budget is a primary concern
- • You need a larger context window (500,000 tokens)
- • 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 R1 V3.2 (DeepSeek)
GPT-5 mini (OpenAI)
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