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 Luna
Qwen Turbo
GPT 5.6 Luna vs Qwen Turbo
Compare GPT 5.6 Luna from OpenAI and Qwen Turbo from Qwen 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 LunaQwen Turbo+ Add model · 2/4
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
GPT 5.6 Luna
Qwen Turbo
Input /M
$0.2
$0.046
Output /M
$1.2
$0.092
Cache read /M
$0.02
$0.0092
Context length
1,050,000
0
Max output
128,000
0
Time to First Token
5.1 s
0.5 s
Throughput
47.6 tok/s
109.0 tok/s
Modalities
textimage
text
Supported Parameters
toolsthinkingstructured outputs
long context
API Formats
chat_completions · responses
Released
July 9, 2026
November 1, 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-lunaqwen-turbo
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-lunaqwen-turbo
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
Cost calculator
Estimate your monthly bill for the same workload on each model.
Qwen Turbo
$4.14 /mo
GPT 5.6 Luna
$30.00 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GPT 5.6 Luna, Qwen Turbo?
Qwen Turbo: $0.092/M output tokens; GPT 5.6 Luna: $1.2/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Qwen Turbo: 0.5s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Which one generates tokens faster?
Qwen Turbo at 109.0 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; Qwen Turbo accepts text input and supports long context.
Can I call GPT 5.6 Luna and Qwen Turbo 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.
Popular comparisons
Related model match-ups readers also look at.
