DeepSeek R1 V3.2 vs DeepSeek V3.2
Compare DeepSeek and DeepSeek AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
DeepSeek R1 V3.2
DeepSeek V3.2
Cost Differences
DeepSeek V3.2 costs less than DeepSeek R1 V3.2
Feature Comparison
| Feature | DeepSeek R1 V3.2 | DeepSeek V3.2 |
|---|---|---|
| Provider | DeepSeek | DeepSeek |
| Input Price | $0.28/1M tokens | $0.28/1M tokens |
| Output Price | $0.42/1M tokens | $0.42/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 65,536 tokens | 32,768 tokens |
| Category | reasoning | efficient |
| Capabilities | textreasoningcode | textcodereasoning |
| Release Date | 1/20/2025 | 12/1/2025 |
DeepSeek R1 V3.2 vs DeepSeek V3.2: Which Should You Choose?
Choosing between DeepSeek R1 V3.2 and DeepSeek V3.2 depends on your priorities: cost efficiency, context length, or raw capability. DeepSeek V3.2 is the more affordable option at $0.28/1M input tokens.
These models target different tiers: DeepSeek R1 V3.2 is a reasoning model while DeepSeek V3.2 is efficient. This means they're optimized for different workloads. DeepSeek R1 V3.2 is built for complex tasks that require deeper reasoning, while DeepSeek V3.2 offers better value for routine operations.
Output costs matter too. DeepSeek R1 V3.2 charges $0.42/1M output tokens vs $0.42 for DeepSeek V3.2.
Best Use Cases
Choose DeepSeek R1 V3.2 when:
- • You need longer outputs (up to 65,536 tokens)
- • You're already using DeepSeek's API ecosystem
Choose DeepSeek V3.2 when:
- • You're already using DeepSeek'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)
DeepSeek V3.2 (DeepSeek)
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