Models

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.

Googlegemini-3.7-flashOpenAIgpt-5.6-terra
Google logo
gemini-3.7-flash
Google · text, image, audio, video → text

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.

Input$0.75 /M
Output$3.75 /M
OpenAI logo
gpt-5.6-terra
OpenAI · text, image → text

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.

Input$2.00 /M
Output$12.00 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

gemini-3.7-flash
gpt-5.6-terra
Input /M
$0.75
$2.00
Output /M
$3.75
$12.00
Cache read /M
$0.08
$0.20
Context length
1,048,576
1,050,000
Max output
65,536
128,000
Time to First Token
2.8 s
2.5 s
Throughput
81.6 tok/s
61.2 tok/s
Modalities
textimageaudiovideo
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputsweblong context
toolsthinkingstructured outputs
API Formats
chat_completions · gemini_api · claude_api
chat_completions · responses

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.

gemini-3.7-flashgpt-5.6-terra

Tokens / day

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Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

gemini-3.7-flashgpt-5.6-terra

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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Cost calculator

Estimate your monthly bill for the same workload on each model.

gemini-3.7-flash
$101 /mo
gpt-5.6-terra
$300 /mo

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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