llmcloud.ai
Model scorecard

DeepSeek deepseek-r1

Composite 67.8/100 across quality, throughput, latency, price efficiency and usable context — measured through the gateway, not vendor-reported.

B+67.8/100deepseek/deepseek-r1text · 128k context

Capability

eval composite
Quality (blended eval)88

Category: reasoning

Usable context6

128k advertised window

Serving

gateway measured
Throughput26

90 output tokens/s median

Time to first token47

320ms p50

Economics

at provider cost
Price efficiency79

$0.55 per 1M output tokens

Quality per dollar100
llmcloud adds $0 to these token prices.

Suggested usage

  • Deep reasoning & mathauto:reasoning

    Reasoning tokens dominate the bill, so quality per thinking-token beats headline price.

→ Full workload matrix