llmcloud.ai
Model scorecard

OpenAI o3-mini

Composite 64.8/100 across quality, throughput, latency, price efficiency and usable context — measured through the gateway, not vendor-reported.

B+64.8/100openai/o3-minitext · 200k context

Capability

eval composite
Quality (blended eval)84

Category: reasoning

Usable context10

200k advertised window

Serving

gateway measured
Throughput26

92 output tokens/s median

Time to first token43

340ms p50

Economics

at provider cost
Price efficiency73

$1.10 per 1M output tokens

Quality per dollar100
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