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.
GPT 5.6 Luna vs Ling 2.6 Flash (free)
Compare GPT 5.6 Luna from OpenAI and Ling 2.6 Flash (free) from Ideogram on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Ling-2.6-flash is an efficient instruction-tuned model developed by inclusionAI, with 104B total parameters and 7.4B active parameters. It is built for practical agent scenarios where low latency, reliable execution, and token efficiency matter. In tasks like coding, document understanding, and lightweight agent workflows, it offers competitive performance for its size while using noticeably fewer tokens, making it well-suited for cost-sensitive and high-throughput applications.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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.
Tokens / day
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Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
How large is each context window?
GPT 5.6 Luna accepts 1,050,000 and Ling 2.6 Flash (free) accepts 262,100 input tokens. Maximum output per request is 128,000 tokens on GPT 5.6 Luna and 32,000 tokens on Ling 2.6 Flash (free).
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; Ling 2.6 Flash (free) accepts text input and supports long context.
Can I call GPT 5.6 Luna and Ling 2.6 Flash (free) 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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