https://doc.aihubmix.com/en/api/Gemini%20%E5%9B%BE%E7%89%87%E7%94%9F%E6%88%90%E5%92%8C%E7%BC%96%E8%BE%91 Instructions: Need to add parameters to experience new features: "modalities":["text","image"] Images are passed and output in Base64 encoding As an experimental model, it's recommended to explicitly specify "output image", otherwise it might only output text Default height for output images is 1024px Python calls require the latest OpenAI SDK, run pip install -U openai first
Gemini 2.0 Flash Exp vs GPT 5.6 Luna
Compare Gemini 2.0 Flash Exp from Google and GPT 5.6 Luna from OpenAI 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 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
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
Requests / day
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
Which is cheaper: Gemini 2.0 Flash Exp, GPT 5.6 Luna?
Gemini 2.0 Flash Exp: $0.08/M output tokens; GPT 5.6 Luna: $1.2/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Gemini 2.0 Flash Exp: 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?
Gemini 2.0 Flash Exp at 200.0 tok/s and GPT 5.6 Luna at 47.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Gemini 2.0 Flash Exp accepts text, image, audio and video input and supports long context; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.
Can I call Gemini 2.0 Flash Exp and GPT 5.6 Luna 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.