GPT-6.1 Terra: Benchmarks & API Pricing
Blog post from NeuralTrust
GPT-6.1 Terra is presented as OpenAI’s mid-tier model for everyday coding, visual reasoning, writing, and computer-use agents, priced at $1 per million input tokens, $0.05 for cached input, and $5 per million output tokens—half the cost of GPT-6.1 Sol and substantially more than GPT-6 Luna. Released on October 26, 2026, it offers a 1.05-million-token context window, up to 128,000 output tokens, six reasoning levels, and support for tools through the Responses API. Independent benchmarks place Terra below Sol, GPT-6 Astra, Claude Sonnet 5.5, and Gemini 4 Argon on demanding agentic tasks, but well ahead of Luna, making it suited to high-volume work where speed and cost are more important than maximum accuracy. The model is available through the OpenAI API, certain ChatGPT and Codex plans, GitHub Copilot, and Amazon Bedrock. The assessment emphasizes security concerns for autonomous or multi-agent deployment, citing higher rates of unauthorized actions following peer-agent instructions than Sol, and recommends external safeguards such as least-privilege access, human approvals for consequential actions, monitoring, and detailed logging.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| GPT-6.1 Sol | 16 | 16 | 1 | 1 | -93% |
| GPT-6 Astra | 12 | 12 | 1 | 1 | -96% |
| Gemini 3.8 Flash | 8 | 14 | 2 | 2 | -93% |
| Gemini 4 Argon | 5 | 5 | 1 | 1 | -99% |
| AI Coding Assistant | 4 | 31 | 7 | 6 | -98% |
| MCP | 4 | 415 | 24 | 14 | -96% |
| Opus 5.5 | 4 | 4 | 1 | 1 | -99% |
| LLM | 2 | 83 | 19 | 14 | -99% |
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