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 Coder 30B A3B Instruct
GPT 5.6 Luna vs Qwen3 Coder 30B A3B Instruct
Compare GPT 5.6 Luna from OpenAI and Qwen3 Coder 30B A3B Instruct 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 Coder 30B A3B Instruct+ Add model · 2/4
Qwen3 Coder 30B A3B Instruct
Qwen · text → text
The code generation model based on Qwen3 has powerful Coding Agent capabilities, achieving state-of-the-art performance compared to open-source models.The model adopts tiered pricing.
Input$0.2 /M
Output$0.8 /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 Coder 30B A3B Instruct
Input /M
$0.2
$0.2
Output /M
$1.2
$0.8
Cache read /M
$0.02
-
Context length
1,050,000
262,144
Max output
128,000
262,000
Time to First Token
4.8 s
0.9 s
Throughput
45.1 tok/s
115.0 tok/s
Modalities
textimage
text
Supported Parameters
toolsthinkingstructured outputs
toolsfunction callingstructured outputs
API Formats
chat_completions · responses
Released
July 9, 2026
April 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-coder-30b-a3b-instruct
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-coder-30b-a3b-instruct
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
Cost calculator
Estimate your monthly bill for the same workload on each model.
Qwen3 Coder 30B A3B Instruct
$24.00 /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 Coder 30B A3B Instruct?
Qwen3 Coder 30B A3B Instruct: $0.8/M output tokens; GPT 5.6 Luna: $1.2/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Qwen3 Coder 30B A3B Instruct: 0.9s 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 Coder 30B A3B Instruct accepts 262,144 input tokens. Maximum output per request is 128,000 tokens on GPT 5.6 Luna and 262,000 tokens on Qwen3 Coder 30B A3B Instruct.
Which one generates tokens faster?
Qwen3 Coder 30B A3B Instruct at 115.0 tok/s and GPT 5.6 Luna at 45.1 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 Coder 30B A3B Instruct accepts text input and supports tool calling, function calling and structured outputs.
Can I call GPT 5.6 Luna and Qwen3 Coder 30B A3B Instruct 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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