llmcloud.ai
Model scorecard

Google gemini-2.5-pro

Composite 76.8/100 across quality, throughput, latency, price efficiency and usable context — measured through the gateway, not vendor-reported.

A76.8/100google/gemini-2.5-protext · vision · audio · video · 2000k context

Capability

eval composite
Quality (blended eval)90

Category: long

Usable context100

2000k advertised window

Serving

gateway measured
Throughput31

108 output tokens/s median

Time to first token65

210ms p50

Economics

at provider cost
Price efficiency60

$5.00 per 1M output tokens

Quality per dollar54
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:long.

→ Full workload matrix