GPT 5.6 Luna
OpenAI · text, image → text
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.
Input$0.2 /M
Output$1.2 /M
Cache read$0.02 /M
← ModelsGPT 5.6 LunaO1
GPT 5.6 Luna vs O1
Compare GPT 5.6 Luna from OpenAI and O1 from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GPT 5.6 LunaO1+ Add model · 2/4
O1
OpenAI · text → text
OpenAI's most powerful O-series model supports official cache hits that halve the input cost.
Input$15 /M
Output$60 /M
Cache read$7.5 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
GPT 5.6 Luna
O1
Input /M
$0.2
$15
Output /M
$1.2
$60
Cache read /M
$0.02
$7.5
Context length
1,050,000
200
Max output
128,000
0
Time to First Token
5.1 s
59.9 s
Throughput
47.6 tok/s
103.5 tok/s
Modalities
textimage
text
Supported Parameters
toolsthinkingstructured outputs
thinking
API Formats
chat_completions · responses
Released
July 9, 2026
December 5, 2024
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
gpt-5.6-lunao1
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
gpt-5.6-lunao1
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
Cost calculator
Estimate your monthly bill for the same workload on each model.
GPT 5.6 Luna
$30.00 /mo
O1
$1,800 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GPT 5.6 Luna, O1?
GPT 5.6 Luna: $1.2/M output tokens; O1: $60/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
GPT 5.6 Luna: 5.1s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
GPT 5.6 Luna accepts 1,050,000 and O1 accepts 200 input tokens.
Which one generates tokens faster?
O1 at 103.5 tok/s and GPT 5.6 Luna at 47.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs; O1 accepts text input and supports thinking.
Can I call GPT 5.6 Luna and O1 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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