GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.
Providers #
Route requests across multiple providers. Copy a provider slug to set your preference.
$0.1-0.2
/ M tokens $0.5-0.75
/ M tokens Read:
0.01-0.02/ M tokens
Write:
0.125-0.25/ M tokens1.05M2.34s79.6tps
$0.1-0.2
/ M tokens $0.5-0.75
/ M tokens Read:
0.01-0.02/ M tokens
Write:
0.125-0.25/ M tokens1.05M2.94s53.7tps
Uptime #
24hours Direct request success rate on AI Gateway and per-provider.
Throughput #
24hours P50 throughput on live AI Gateway traffic, in tokens per second (TPS).
Latency #
24hours P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.
Activity #
Token volume and request traffic to this model over time.
Benchmarks #
Scores on standardized evaluations. Higher percentages are better ā and rank percentile shows
Metrics sourced fromArtificial Analysis
Apps #
Public apps that send the most traffic to this model. Good signal for what real production workloads look like ā and a hint at which use cases this model is best suited for. View All
Related Models #
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