Gemini 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.
gemini-3.7-flash vs gpt-5.6-terra
Output tokens cost $3.75 per million on gemini-3.7-flash and $12.00 per million on gpt-5.6-terra. Input tokens cost $0.75 per million on gemini-3.7-flash and $2.00 per million on gpt-5.6-terra. Cached input tokens are billed at $0.08 per million on gemini-3.7-flash and $0.20 per million on gpt-5.6-terra. Context lengths are 1,048,576 tokens on gemini-3.7-flash and 1,050,000 tokens on gpt-5.6-terra. Time to first token (TTFT) measured on AIHubMix is 2.8s on gemini-3.7-flash and 2.5s on gpt-5.6-terra. Measured output throughput is 81.6 tok/s on gemini-3.7-flash and 61.2 tok/s on gpt-5.6-terra.
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.
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-3.7-flash, gpt-5.6-terra?
gemini-3.7-flash: $3.75/M output tokens; gpt-5.6-terra: $12.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
gpt-5.6-terra: 2.5s 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-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.
Which one generates tokens faster?
gemini-3.7-flash at 81.6 tok/s and gpt-5.6-terra at 61.2 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-3.7-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-terra accepts text and image input and supports tool calling, thinking and structured outputs.
Can I call gemini-3.7-flash and gpt-5.6-terra 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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