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Gemini 3.1 Pro vs GPT-5.6 Terra

Google against OpenAI, costed on the same three workloads. Neither is cheaper everywhere — which one wins depends on how much you read versus write.

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Monthly bill, side by side

WorkloadGemini 3.1 ProGPT-5.6 TerraDifference
Support chatbot
2,500 six-turn conversations a day
$8,865 $8,865 the same
Document summarizer
1,000 single-shot summaries a day
$1,020 $1,020 the same
Coding agent
200 twelve-turn sessions a day
$5,976 $5,976 the same

No prompt caching and no batch discount on either side, so the comparison is like for like. Both figures assume 30 days a month.

The rate cards

Gemini 3.1 ProGPT-5.6 Terra
Input, per 1M tokens$2$2
Output, per 1M tokens$12$12
Cached input$0.2$0.2
Context window1.05M922K
Maximum output66K128K
Reasoning modelyesyes
Visionyesyes

Beyond the price

Run this comparison on your own numbers

Full detail: Gemini 3.1 Pro pricing · GPT-5.6 Terra pricing

More comparisons

Other head-to-heads that include Gemini 3.1 Pro or GPT-5.6 Terra.

Common questions

Which is cheaper, Gemini 3.1 Pro or GPT-5.6 Terra?

Neither is cheaper everywhere — which one wins depends on how much you read versus write.

How much would Gemini 3.1 Pro and GPT-5.6 Terra cost each month?

On PromptSpend's standard workloads, per month: support chatbot: Gemini 3.1 Pro $8,865, GPT-5.6 Terra $8,865 (the same on both); document summarizer: Gemini 3.1 Pro $1,020, GPT-5.6 Terra $1,020 (the same on both); coding agent: Gemini 3.1 Pro $5,976, GPT-5.6 Terra $5,976 (the same on both). No prompt caching and no batch discount is assumed.

How do Gemini 3.1 Pro and GPT-5.6 Terra differ apart from price?

Gemini 3.1 Pro reads up to 1.05M tokens of context in one request; GPT-5.6 Terra stops at 922K. GPT-5.6 Terra can write up to 128K tokens in one response, against 66K for Gemini 3.1 Pro. Only GPT-5.6 Terra offers a batch discount — 50% off both rates for work that can wait.

Standard-tier, global-endpoint list prices in USD. This build read the catalog generated 2026-11-11.