GPT-6.1 Terra is priced at half the standard input and output token rates of GPT-6.1 Sol. Both have 1.05M context and 128K maximum output, but Terra targets efficient visual and computer-use work while Sol is positioned for more complex coding and reasoning.
Choose by actual work
These are editorial choices based on documented workflow differences, not head-to-head benchmark scores. A recommended fit does not imply the other product cannot do the task.
Consider GPT-6.1 Terra
OpenAI positions Terra for visual understanding and computer use at lower standard token prices. Compare task success, latency, retries, and any additional tool fees on your own workload.
Consider GPT-6.1 Sol
OpenAI continues to recommend Sol or Astra for the most complex coding and reasoning. Test completion quality and total cost per successful task before selecting a model.
Consider GPT-6.1 Terra
Terra's standard input, cached-input, and output token rates are 50% of Sol's. This does not guarantee half the cost per completed task because token usage and retries can differ.
Both can fit
Both list the same context and output ceilings. Inputs above 272K tokens trigger higher rates on the entire request; large-context quality and affordability still require testing.
Editorial scenarios reviewed Oct 27, 2026 · Base product and price facts retain their separate verification dates below.
GPT-6.1 Terra is OpenAI's fast, cost-efficient GPT-6 model for visual reasoning, computer use, and everyday professional workflows.
GPT-6.1 Sol is an OpenAI model positioned below Astra on price while retaining support for complex coding, computer use, reasoning, and tool-based workflows.
Structured facts
These fields come from each entity record and are kept separate from the curated comparison notes below.
Editorial comparison
These rows are curated comparison data, distinct from automatically aggregated graph relationships.
USD 1 / USD 5 per MTok
USD 2 / USD 10 per MTok
USD 0.05 per MTok
USD 0.10 per MTok
1.05M / 128K tokens
1.05M / 128K tokens
none, low, medium, high, xhigh, max
low, medium, high, xhigh, max
Visual reasoning, computer use, everyday writing
Complex coding, reasoning, professional workflows
Knowledge graph
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