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LLM comparison

Claude Opus 4.8 vs DeepSeek R1

Claude Opus 4.8

by Anthropic

DeepSeek R1

by DeepSeek 671.0B params
Dimension Claude Opus 4.8 DeepSeek R1
Cheapest output $/M $75.00/M $0.990/M
Blended $/M (3:1) $30.00/M $0.810/M
Context window 1000K 128K
Elo score 1430 1370

Frequently asked questions

Claude Opus 4.8 vs DeepSeek R1: 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 Opus 4.8 or DeepSeek R1?
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 Opus 4.8 and DeepSeek R1?
The table breaks down Claude Opus 4.8 and DeepSeek R1 row by row on price, specs, and coverage so you can see exactly where they diverge.
Is Claude Opus 4.8 better than DeepSeek R1 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 Opus 4.8 vs DeepSeek R1: which has wider coverage?
The coverage rows compare how broadly Claude Opus 4.8 and DeepSeek R1 operate. Pick the one with capacity in the regions closest to your users.
Can I switch from Claude Opus 4.8 to DeepSeek R1?
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.