DeepSeek R1 vs DeepSeek V3.2
List-price comparison · DeepSeek R1 details · DeepSeek V3.2 details
For a typical workload (100,000 requests / mo), DeepSeek V3.2 costs 72% less — $41.18/mo vs $146.00/mo.
| DeepSeek R1 | DeepSeek V3.2 | |
|---|---|---|
| Input / 1M tokens | $0.500 | $0.229 |
| Output / 1M tokens | $2.15 | $0.343 |
| Typical request (1,200 in + 400 out) | $0.0015 | $0.0004 |
| Context window | 163,840 tokens | 131,072 tokens |
| Max output | 32,768 tokens | 64k tokens |
| Tier | Flagship | Balanced |
| Provider | DeepSeek | DeepSeek |
Projected monthly cost
Rows open both models in the calculator — adjust volume and token counts there.
DeepSeek R1
Chain-of-thought reasoning competitive with closed flagship models on math and logic benchmarks, at open-weight pricing.
Emits long reasoning traces that inflate output token counts and cost — cap reasoning length or use a distilled variant for latency-sensitive paths.
DeepSeek V3.2
Extremely competitive coding and reasoning benchmarks at a fraction of commercial-API pricing — strong default for cost-sensitive batch workloads.
Open-weight hosting means latency and uptime vary by inference provider (DeepInfra, Fireworks, etc.) — pin a provider or add fallbacks for production SLAs.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.