Drafted with AI tools and edited by a human. The figures and conclusions were checked by a GPUniq editor.
GPT-6.1 Terra Costs
The OpenAI API charges $1.00 per million standard input tokens for gpt-6.1-terra. Cached input tokens drop to $0.05 per million. Output tokens cost $5.00 per million.
| Token Type | Price, USD per Million Tokens |
|---|---|
| Standard Input | 1.00 |
| Cached Input | 0.05 |
| Output | 5.00 |
Context Window Limits
The model supports roughly 1,050,000 tokens in its context window. You can request up to 128,000 output tokens per single response.
Terminal-Bench 4.0 Performance
On Terminal-Bench 4.0, the model solves 50.3% of tasks at max reasoning effort. The predecessor GPT-5.6 Terra managed only 21.5% on the same benchmark.
Error Rates
Internal tests show an error rate of 4.3% on difficult prompts at max reasoning effort. Running at low effort yields a 16.7% error rate. GPT-5.6 Terra registered a 53.6% error rate at low effort.
Exam Scores
On Agents' Last Exam at medium reasoning effort, GPT-6.1 Terra scores about 15 points higher than GPT-5.6 Terra. This score matches GPT-6 Astra.
Supported Modalities
The API accepts image, text, and file inputs while outputting text only. It supports tool calling through the Responses API. You can access it via standard API endpoints like Chat Completions, Responses, and v1/live/sessions, as well as through ChatGPT Work and Codex.
Related on the GPUniq blog
Methodology
Facts are compiled from the vendor's own announcement and documentation, linked below, at the time of writing; where the vendor hasn't published a number it is marked as such. GPUniq prices, when the model is already available here, come from our live catalog.
Sources
- 1.GPT-6.1 Terra Model | OpenAI API — OpenAI (accessed )
- 2.Introducing GPT-6.1 Terra | OpenAI — OpenAI (accessed )
- 3.GPT-6.1 Terra: Benchmarks, Pricing, and Access | DataCamp — DataCamp (accessed )
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