GPQA Diamond
?what it ishighest score on this metric 96.4%
10º / 198 · Epoch AI, latest version we checked
Benchmarks, price, context and versions
GPT 6.1 Terra, GPT-6.1-Terra
Direct answer: GPT-6.1 Terra is a model from OpenAI. 94.3% on GPQA Diamond, per Epoch AI. On OpenRouter, US$ 1.00 per 1 million input tokens and US$ 5.00 per 1 million output tokens.
This block follows a rule of this section, using source data: if the model is in the top 25% of the metric, the item goes under "Good for"; if it is in the bottom half, it goes under "Not the best for". The middle band appears in neither. Price and context use OpenRouter; scores use Epoch AI or OpenRouter Benchmarks, in the latest version we checked.
highest score on this metric 96.4%
10º / 198 · Epoch AI, latest version we checked
14º / 186 · Epoch AI, latest version we checked
highest score on this metric 95.1%
5º / 86 · Epoch AI, latest version we checked
highest score on this metric 94%
21º / 87 · Epoch AI, latest version we checked
highest score on this metric 96.5%
24º / 135 · OpenRouter Benchmarks, latest version we checked
highest score on this metric 82%
87º / 131 · OpenRouter Benchmarks, latest version we checked
Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch.
GPT-6.1 Terra is a model from OpenAI, with closed weights, used for text, agents.
On OpenRouter, US$ 1.00 per 1 million input tokens and US$ 5.00 per 1 million output tokens.
1,050,000 tokens, per OpenRouter.
No. It is available through API only.
94.3% on GPQA Diamond, per Epoch AI.
No data: there is no SWE-bench Verified measurement for it in open sources.
It was made by OpenAI, a lab from the US.
provisional data Questions ordered by what shows up in public Google search suggestions (no volume). Answers use source data only.
Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch. Family and version were grouped by rule from the name.