GPT-5.5 raises the baseline for complex production workflows. It’s a strong fit for coding use cases, tool-heavy agents, grounded assistants, long-context retrieval, product-spec-to-plan workflows, and customer-facing workflows where execution quality and response polish are critical.
gpt-5.5 vs gpt-5.6-luna
Output tokens cost $30.00 per million on gpt-5.5 and $1.20 per million on gpt-5.6-luna. Input tokens cost $5.00 per million on gpt-5.5 and $0.20 per million on gpt-5.6-luna. Cached input tokens are billed at $0.50 per million on gpt-5.5 and $0.02 per million on gpt-5.6-luna. Context windows are 1,050,000 tokens on gpt-5.5 and 1,050,000 tokens on gpt-5.6-luna. First-token latency measured on AIHubMix is 5.4s on gpt-5.5 and 3.1s on gpt-5.6-luna. Measured output throughput is 49.1 tokens/s on gpt-5.5 and 93.6 tokens/s on gpt-5.6-luna.
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
Specs & Pricing
Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Usage on AIHubMix last 30 days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Live Performance last 3 days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (TPS)
Latency (s)
Uptime (%)
Cost Calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: gpt-5.5, gpt-5.6-luna?
gpt-5.6-luna: $1.20/M output tokens; gpt-5.5: $30.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
gpt-5.6-luna: 3.1s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
gpt-5.5 accepts 1,050,000 and gpt-5.6-luna accepts 1,050,000 input tokens. Maximum output per request is 128,000 tokens on gpt-5.5 and 128,000 tokens on gpt-5.6-luna.
Which one generates tokens faster?
gpt-5.6-luna at 93.6 tokens/s and gpt-5.5 at 49.1 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
What inputs and capabilities does each model support?
gpt-5.5 accepts text and image input and supports thinking, function calling, structured outputs, web search and tool calling; gpt-5.6-luna accepts text and image input and supports tool calling, thinking and structured outputs.
Can I call gpt-5.5 and gpt-5.6-luna with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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