Model scorecard
OpenAI gpt-5-codex
Composite 68.2/100 across quality, throughput, latency, price efficiency and usable context — measured through the gateway, not vendor-reported.
B+68.2/100openai/gpt-5-codextext · 400k context
Capability
eval compositeQuality (blended eval)91
Category: coding
Usable context20
400k advertised window
Serving
gateway measuredThroughput27
96 output tokens/s median
Time to first token57
260ms p50
Economics
at provider costPrice efficiency61
$4.50 per 1M output tokens
Quality per dollar61
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:coding.
→ Full workload matrix