DeepSeek V3.2 vs GPT-5.4 Nano
List-price comparison · DeepSeek V3.2 details · GPT-5.4 Nano details
For a typical workload (100,000 requests / mo), DeepSeek V3.2 costs 44% less — $41.18/mo vs $74.00/mo.
| DeepSeek V3.2 | GPT-5.4 Nano | |
|---|---|---|
| Input / 1M tokens | $0.229 | $0.200 |
| Output / 1M tokens | $0.343 | $1.25 |
| Typical request (1,200 in + 400 out) | $0.0004 | $0.0007 |
| Context window | 131,072 tokens | 400k tokens |
| Max output | 64k tokens | 128k tokens |
| Tier | Balanced | Flash |
| Provider | DeepSeek | OpenAI |
Projected monthly cost
Rows open both models in the calculator — adjust volume and token counts there.
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.
GPT-5.4 Nano
Cheapest OpenAI option for high-throughput classification, tagging, and routing — ideal as a first-pass filter before a stronger model.
Limited reasoning depth means it should be treated as a triage layer, not a final answer source, for anything business-critical.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.