llmcloud.ai
Model scorecard

Anthropic claude-opus-4.1

Composite 64.2/100 across quality, throughput, latency, price efficiency and usable context — measured through the gateway, not vendor-reported.

B+64.2/100anthropic/claude-opus-4.1text · vision · 200k context

Capability

eval composite
Quality (blended eval)93

Category: reasoning

Usable context10

200k advertised window

Serving

gateway measured
Throughput22

78 output tokens/s median

Time to first token43

340ms p50

Economics

at provider cost
Price efficiency50

$15.00 per 1M output tokens

Quality per dollar19
llmcloud adds $0 to these token prices.

Suggested usage

Not a default pick today. It is a reasonable explicit choice when you need this vendor specifically, or as a failover target inside auto:reasoning.

→ Full workload matrix