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 LunaO3
GPT 5.6 Luna vs O3
Compare GPT 5.6 Luna from OpenAI and O3 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 LunaO3+ Add model · 2/4
O3
OpenAI · text, image, pdf → text
OpenAI o3 is a powerful model across multiple domains, setting a new standard for coding, math, science, and visual reasoning tasks.
Input$2 /M
Output$8 /M
Cache read$0.5 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
GPT 5.6 Luna
O3
Input /M
$0.2
$2
Output /M
$1.2
$8
Cache read /M
$0.02
$0.5
Context length
1,050,000
200,000
Max output
128,000
100,000
Time to First Token
5.1 s
6.5 s
Throughput
47.6 tok/s
40.3 tok/s
Modalities
textimage
textimagepdf
Supported Parameters
toolsthinkingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · responses
Released
July 9, 2026
April 16, 2025
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-lunao3
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-lunao3
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
O3
$240 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GPT 5.6 Luna, O3?
GPT 5.6 Luna: $1.2/M output tokens; O3: $8/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 O3 accepts 200,000 input tokens. Maximum output per request is 128,000 tokens on GPT 5.6 Luna and 100,000 tokens on O3.
Which one generates tokens faster?
GPT 5.6 Luna at 47.6 tok/s and O3 at 40.3 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; O3 accepts text, image and PDF input and supports thinking, tool calling, function calling and structured outputs.
Can I call GPT 5.6 Luna and O3 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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