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 VL 30B A3B Thinking
GPT 5.6 Luna vs Qwen3 VL 30B A3B Thinking
Compare GPT 5.6 Luna from OpenAI and Qwen3 VL 30B A3B Thinking 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 VL 30B A3B Thinking+ Add model · 2/4
Qwen3 VL 30B A3B Thinking
Qwen · text, image, video → text
The Qwen3-VL series’ second-largest MoE model Thinking version offers fast response speed, stronger multimodal understanding and reasoning, visual agent capabilities, and ultra-long context support for long videos and long documents; it features comprehensive upgrades in image/video understanding, spatial perception, and universal recognition abilities, making it capable of handling complex real-world tasks.
Input$0.1028 /M
Output$1.028 /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 VL 30B A3B Thinking
Input /M
$0.2
$0.1028
Output /M
$1.2
$1.028
Cache read /M
$0.02
-
Context length
1,050,000
131,072
Max output
128,000
32,768
Time to First Token
5.1 s
1.5 s
Throughput
47.6 tok/s
41.8 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
toolsthinkingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · responses
Released
July 9, 2026
October 11, 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-lunaqwen3-vl-30b-a3b-thinking
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-vl-30b-a3b-thinking
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
Cost calculator
Estimate your monthly bill for the same workload on each model.
Qwen3 VL 30B A3B Thinking
$21.59 /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 VL 30B A3B Thinking?
Qwen3 VL 30B A3B Thinking: $1.028/M output tokens; GPT 5.6 Luna: $1.2/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Qwen3 VL 30B A3B Thinking: 1.5s 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 VL 30B A3B Thinking accepts 131,072 input tokens. Maximum output per request is 128,000 tokens on GPT 5.6 Luna and 32,768 tokens on Qwen3 VL 30B A3B Thinking.
Which one generates tokens faster?
GPT 5.6 Luna at 47.6 tok/s and Qwen3 VL 30B A3B Thinking at 41.8 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 VL 30B A3B Thinking accepts text, image and video input and supports thinking, tool calling, function calling and structured outputs.
Can I call GPT 5.6 Luna and Qwen3 VL 30B A3B Thinking 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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