LLM comparison
GPT-4.1 nano vs Qwen 2.5 72B
GPT-4.1 nano
by OpenAI
Qwen 2.5 72B
by Alibaba
72.0B params
| Dimension | GPT-4.1 nano | Qwen 2.5 72B |
|---|---|---|
| Cheapest output $/M | $0.400/M | $0.400/M |
| Blended $/M (3:1) | $0.175/M ✔ | $0.198/M |
| Context window | 1000K ✔ | 131K |
| Elo score | 1255 | 1285 ✔ |
Frequently asked questions
GPT-4.1 nano vs Qwen 2.5 72B: 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 GPT-4.1 nano or Qwen 2.5 72B?
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 GPT-4.1 nano and Qwen 2.5 72B?
The table breaks down GPT-4.1 nano and Qwen 2.5 72B row by row on price, specs, and coverage so you can see exactly where they diverge.
Is GPT-4.1 nano better than Qwen 2.5 72B 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.
GPT-4.1 nano vs Qwen 2.5 72B: which has wider coverage?
The coverage rows compare how broadly GPT-4.1 nano and Qwen 2.5 72B operate. Pick the one with capacity in the regions closest to your users.
Can I switch from GPT-4.1 nano to Qwen 2.5 72B?
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.