LLM comparison
DeepSeek V3 vs Llama 3.3 70B
DeepSeek V3
by DeepSeek
671.0B params
Llama 3.3 70B
by Meta
70.0B params
| Dimension | DeepSeek V3 | Llama 3.3 70B |
|---|---|---|
| Cheapest output $/M | $0.890/M | $0.400/M ✔ |
| Blended $/M (3:1) | $0.590/M | $0.273/M ✔ |
| Context window | 128K | 128K |
| Elo score | 1350 ✔ | 1290 |
Frequently asked questions
DeepSeek V3 vs Llama 3.3 70B: 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 Llama 3.3 70B?
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 Llama 3.3 70B?
The table breaks down DeepSeek V3 and Llama 3.3 70B row by row on price, specs, and coverage so you can see exactly where they diverge.
Is DeepSeek V3 better than Llama 3.3 70B 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 Llama 3.3 70B: which has wider coverage?
The coverage rows compare how broadly DeepSeek V3 and Llama 3.3 70B operate. Pick the one with capacity in the regions closest to your users.
Can I switch from DeepSeek V3 to Llama 3.3 70B?
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.