LLM comparison
Claude Haiku 4.5 vs DeepSeek V3
Claude Haiku 4.5
by Anthropic
DeepSeek V3
by DeepSeek
671.0B params
| Dimension | Claude Haiku 4.5 | DeepSeek V3 |
|---|---|---|
| Cheapest output $/M | $5.00/M | $0.890/M ✔ |
| Blended $/M (3:1) | $2.00/M | $0.590/M ✔ |
| Context window | 200K ✔ | 128K |
| Elo score | 1320 | 1350 ✔ |
Frequently asked questions
Claude Haiku 4.5 vs DeepSeek V3: 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 Claude Haiku 4.5 or DeepSeek V3?
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 Claude Haiku 4.5 and DeepSeek V3?
The table breaks down Claude Haiku 4.5 and DeepSeek V3 row by row on price, specs, and coverage so you can see exactly where they diverge.
Is Claude Haiku 4.5 better than DeepSeek V3 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.
Claude Haiku 4.5 vs DeepSeek V3: which has wider coverage?
The coverage rows compare how broadly Claude Haiku 4.5 and DeepSeek V3 operate. Pick the one with capacity in the regions closest to your users.
Can I switch from Claude Haiku 4.5 to DeepSeek V3?
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.