LLM comparison
DeepSeek R1 vs Gemini 2.5 Pro
DeepSeek R1
by DeepSeek
671.0B params
Gemini 2.5 Pro
by Google
| Dimension | DeepSeek R1 | Gemini 2.5 Pro |
|---|---|---|
| Cheapest output $/M | $0.990/M ✔ | $10.00/M |
| Blended $/M (3:1) | $0.810/M ✔ | $3.44/M |
| Context window | 128K | 2000K ✔ |
| Elo score | 1370 | 1390 ✔ |
Frequently asked questions
DeepSeek R1 vs Gemini 2.5 Pro: 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 Gemini 2.5 Pro?
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 Gemini 2.5 Pro?
The table breaks down DeepSeek R1 and Gemini 2.5 Pro row by row on price, specs, and coverage so you can see exactly where they diverge.
Is DeepSeek R1 better than Gemini 2.5 Pro 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 Gemini 2.5 Pro: which has wider coverage?
The coverage rows compare how broadly DeepSeek R1 and Gemini 2.5 Pro operate. Pick the one with capacity in the regions closest to your users.
Can I switch from DeepSeek R1 to Gemini 2.5 Pro?
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.