gemini-2.5-pro-search integrates Google's official search functionality; the search feature will have an additional separate fee log directly incorporated into the scoring, with detailed logs not displayed; this will be fixed and displayed later; only supports OpenAI-compatible formats for invocation, does not support Gemini SDK; for Gemini's native SDK, please set parameters directly using the official search parameters.
Gemini 2.5 Pro Search vs GPT 5.6 Luna
Compare Gemini 2.5 Pro Search 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 2.5 Pro Search, GPT 5.6 Luna?
GPT 5.6 Luna: $1.2/M output tokens; Gemini 2.5 Pro Search: $10/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Gemini 2.5 Pro Search: 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?
Gemini 2.5 Pro Search accepts 1,048,576 and GPT 5.6 Luna accepts 1,050,000 input tokens. Maximum output per request is 65,536 tokens on Gemini 2.5 Pro Search and 128,000 tokens on GPT 5.6 Luna.
Which one generates tokens faster?
Gemini 2.5 Pro Search at 101.3 tok/s and GPT 5.6 Luna at 47.3 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 2.5 Pro Search accepts text, image, video, audio and PDF input and supports thinking, web search, tool calling, function calling, structured outputs and long context; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.
Can I call Gemini 2.5 Pro Search 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.
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