Output tokens cost $7.50 per million on gemini-3.6-flash and $1.20 per million on gpt-5.6-luna. Input tokens cost $1.50 per million on gemini-3.6-flash and $0.20 per million on gpt-5.6-luna. Cached input tokens are billed at $0.15 per million on gemini-3.6-flash and $0.02 per million on gpt-5.6-luna. Context windows are 1,048,576 tokens on gemini-3.6-flash and 1,050,000 tokens on gpt-5.6-luna. First-token latency measured on AIHubMix is 3.1s on gemini-3.6-flash and 3.1s on gpt-5.6-luna. Measured output throughput is 123.8 tokens/s on gemini-3.6-flash and 93.6 tokens/s on gpt-5.6-luna.
gemini-3.6-flash
gpt-5.6-lunaGemini 3.6 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost. Designed for the agentic era, it excels at code generation, agentic execution, and spatial reasoning. This model is particularly effective for rapid agentic loops involving complex coding cycles and iterations.
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.
Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
gpt-5.6-luna: $1.20/M output tokens; gemini-3.6-flash: $7.50/M. Use the cost calculator above to estimate your own workload.
gpt-5.6-luna: 3.1s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
gemini-3.6-flash 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-3.6-flash and 128,000 tokens on gpt-5.6-luna.
gemini-3.6-flash at 123.8 tokens/s and gpt-5.6-luna at 93.6 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
gemini-3.6-flash accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search and long context; gpt-5.6-luna accepts text and image input and supports tool calling, thinking and structured outputs.
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.
Related model match-ups readers also look at.
AIHubMix