Compare Gemini 3.7 Flash from Google and GPT 5.6 Terra 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.
Gemini 3.7 Flash
GPT 5.6 TerraGemini 3.7 Flash is Google’s natively multimodal reasoning model for coding, agents, web development, and knowledge work. It supports a 1M-token context window and adjustable thinking levels. Compared with Gemini 3.6 Flash, it improves coding, tool use, multi-step planning, and instruction following.
GPT-5.6 Terra is designed for workloads that balance intelligence and cost. It roughly corresponds to the mini model tier used in earlier GPT-5 families.
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.
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.
Gemini 3.7 Flash: $3.75/M output tokens; GPT 5.6 Terra: $12/M. Use the cost calculator above to estimate your own workload.
GPT 5.6 Terra: 3.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Gemini 3.7 Flash accepts 1,048,576 and GPT 5.6 Terra accepts 1,050,000 input tokens. Maximum output per request is 65,536 tokens on Gemini 3.7 Flash and 128,000 tokens on GPT 5.6 Terra.
Gemini 3.7 Flash at 79.4 tok/s and GPT 5.6 Terra at 68.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Gemini 3.7 Flash accepts text, image, video, audio and PDF input and supports thinking, tool calling, function calling, structured outputs, web search and long context; GPT 5.6 Terra 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.
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