LLM comparison
GPT-4.1 nano vs Mistral Large 2
GPT-4.1 nano
by OpenAI
Mistral Large 2
by Mistral AI
123.0B params
| Dimension | GPT-4.1 nano | Mistral Large 2 |
|---|---|---|
| Cheapest output $/M | $0.400/M ✔ | $6.00/M |
| Blended $/M (3:1) | $0.175/M ✔ | $3.00/M |
| Context window | 1000K ✔ | 128K |
| Elo score | 1255 | 1295 ✔ |
Frequently asked questions
GPT-4.1 nano vs Mistral Large 2: 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 Mistral Large 2?
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 Mistral Large 2?
The table breaks down GPT-4.1 nano and Mistral Large 2 row by row on price, specs, and coverage so you can see exactly where they diverge.
Is GPT-4.1 nano better than Mistral Large 2 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 Mistral Large 2: which has wider coverage?
The coverage rows compare how broadly GPT-4.1 nano and Mistral Large 2 operate. Pick the one with capacity in the regions closest to your users.
Can I switch from GPT-4.1 nano to Mistral Large 2?
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.