LLM comparison
DeepSeek R1 vs GPT-5 mini
DeepSeek R1
by DeepSeek
671.0B params
GPT-5 mini
by OpenAI
| Dimension | DeepSeek R1 | GPT-5 mini |
|---|---|---|
| Cheapest output $/M | $0.990/M ✔ | $1.80/M |
| Blended $/M (3:1) | $0.810/M | $0.787/M ✔ |
| Context window | 128K | 400K ✔ |
| Elo score | 1370 ✔ | 1360 |
Frequently asked questions
DeepSeek R1 vs GPT-5 mini: 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 R1 or GPT-5 mini?
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 R1 and GPT-5 mini?
The table breaks down DeepSeek R1 and GPT-5 mini row by row on price, specs, and coverage so you can see exactly where they diverge.
Is DeepSeek R1 better than GPT-5 mini 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 R1 vs GPT-5 mini: which has wider coverage?
The coverage rows compare how broadly DeepSeek R1 and GPT-5 mini operate. Pick the one with capacity in the regions closest to your users.
Can I switch from DeepSeek R1 to GPT-5 mini?
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.