LLM comparison
DeepSeek V3 vs GPT-4.1 nano
DeepSeek V3
by DeepSeek
671.0B params
GPT-4.1 nano
by OpenAI
| Dimension | DeepSeek V3 | GPT-4.1 nano |
|---|---|---|
| Cheapest output $/M | $0.890/M | $0.400/M ✔ |
| Blended $/M (3:1) | $0.590/M | $0.175/M ✔ |
| Context window | 128K | 1000K ✔ |
| Elo score | 1350 ✔ | 1255 |
Frequently asked questions
DeepSeek V3 vs GPT-4.1 nano: which is cheaper?
The comparison table marks the winner on each dimension. A green highlight means that side wins on price or capacity for that row.
Should I choose DeepSeek V3 or GPT-4.1 nano?
It depends on your workload. Review the per-dimension winners above against your own priorities: price, region coverage, capacity, and availability.
What is the difference between DeepSeek V3 and GPT-4.1 nano?
The table breaks down DeepSeek V3 and GPT-4.1 nano row by row on price, specs, and coverage so you can see exactly where they diverge.
Is DeepSeek V3 better than GPT-4.1 nano for AI workloads?
Match the winning dimensions above to your workload. For training, weigh price and capacity; for inference, weigh latency, region coverage, and throughput.
DeepSeek V3 vs GPT-4.1 nano: which has wider coverage?
The coverage rows compare how broadly DeepSeek V3 and GPT-4.1 nano operate. Pick the one with capacity in the regions closest to your users.
Can I switch from DeepSeek V3 to GPT-4.1 nano?
In most cases yes, though migration effort varies by product. Compare pricing and coverage above to decide whether switching is worth it for your usage.