GPT-5.6 Terra vs Gemini 3.1 Pro
OpenAI vs Google · Prices checked 12 August 2026
On blended cost the two are level at $5.00 per million tokens; the decision has to rest on capability, context or latency.
On context, GPT-5.6 Terra is the larger at 1,050,000 tokens versus 1,000,000.
Pricing and capacity
| Metric | GPT-5.6 Terra | Gemini 3.1 Pro | Difference |
|---|---|---|---|
| Input / 1M tokens | $2.00 | $2.00 | level |
| Output / 1M tokens | $12.00 | $12.00 | level |
| Blended · 70/30calculated | $5.00 | $5.00 | level |
| Blended · 50/50calculated | $7.00 | $7.00 | level |
| Blended · 80/20calculated | $4.00 | $4.00 | level |
| Blended · 20/80calculated | $10.00 | $10.00 | level |
| Job cost · 100K + 10Kcalculated | $0.320 | $0.320 | level |
| Job cost · 1M + 100Kcalculated | $3.20 | $3.20 | level |
| Context window | 1,050,000 | 1,000,000 | 5% |
Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.
Benchmarks
These two models do not currently report scores on any of the same benchmark suites, so there is no like-for-like capability comparison to show. Rather than pad the page with one-sided numbers, the benchmark leaderboards list every score we do hold.
What each model is for
GPT-5.6 Terra
OpenAI · Balanced
The balanced everyday tier of GPT-5.6, which OpenAI describes as competitive with GPT-5.5 at a lower price. Terra is the cheaper path for scoped implementation work and first-pass review, where Sol's full reasoning budget is more than the task needs. Standard short-context pricing is $2/$12 per MTok with cached input at $0.20, roughly 60% below Sol for the same context window.
- GPT-5.5-class performance at lower cost
- Scoped implementation work
- First-pass code review
- Tool calling
Gemini 3.1 Pro
Google · Frontier
A mid-cycle upgrade to Gemini 3 Pro, released after rapid iteration on feedback from the November 3 Pro launch. Google positions it for the most complex tasks, with the clearest gains in ambitious agentic workflows. Keeps the 1M-token context window and full multimodal input.
- Agentic workflow execution
- Complex multi-step reasoning
- 1M-token context
- Text, image, audio and video input
Frequently asked questions
Which is cheaper, GPT-5.6 Terra or Gemini 3.1 Pro?
On blended cost the two are level at $5.00 per million tokens; the decision has to rest on capability, context or latency. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.
Which has the larger context window, GPT-5.6 Terra or Gemini 3.1 Pro?
On context, GPT-5.6 Terra is the larger at 1,050,000 tokens versus 1,000,000. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.
Can I compare GPT-5.6 Terra and Gemini 3.1 Pro on my own numbers?
Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.
Price it for your own workload
Related matchups
Terms used on this page
Prices and scores are recomputed on every deploy from the catalogue. Prices checked 12 August 2026.