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
Qwen3.7 Flash
GPT 5.6 Luna vs Qwen3.7 Flash
Compare GPT 5.6 Luna from OpenAI and Qwen3.7 Flash 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 LunaQwen3.7 Flash+ Add model · 2/4
Qwen3.7 Flash
Qwen · text, image, video → text
The Qwen 3.7 series' mid-to-high cost-performance "Plus" model builds on strong text capabilities with a comprehensive upgrade to vision-language abilities, while retaining full agent capabilities in coding, tool use, and productivity workflows. Its core features are multimodal interactive hybrid agent capabilities, able to perceive real-world scenes, read screens and operate GUIs, generate code based on visual references, and provide end-to-end navigation of mobile applications.
Input$0.0282 /M
Output$0.1128 /M
Cache read$0.0056 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
GPT 5.6 Luna
Qwen3.7 Flash
Input /M
$0.2
$0.0282
Output /M
$1.2
$0.1128
Cache read /M
$0.02
$0.0056
Context length
1,050,000
1,000,000
Max output
128,000
131,072
Time to First Token
4.3 s
3.2 s
Throughput
47.5 tok/s
57.9 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
toolsthinkingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
chat_completions · responses
Released
July 9, 2026
July 15, 2026
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-lunaqwen3.7-flash
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-lunaqwen3.7-flash
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
Cost calculator
Estimate your monthly bill for the same workload on each model.
Qwen3.7 Flash
$3.38 /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, Qwen3.7 Flash?
Qwen3.7 Flash: $0.1128/M output tokens; GPT 5.6 Luna: $1.2/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Qwen3.7 Flash: 3.2s 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 Qwen3.7 Flash accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on GPT 5.6 Luna and 131,072 tokens on Qwen3.7 Flash.
Which one generates tokens faster?
Qwen3.7 Flash at 57.9 tok/s and GPT 5.6 Luna at 47.5 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; Qwen3.7 Flash accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
Can I call GPT 5.6 Luna and Qwen3.7 Flash 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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