OpenAI GPT-6.1 Terra
OpenAI’s high-throughput production frontier model engineered for repository-scale agentic loops, multi-file code synthesis, and 2M-token context retention with sub-second time-to-first-token.
Interactive Token Cost Estimator (GPT-6.1 Terra)
Architectural Strengths & Target Workloads
- 87.5% cached input discount ($0.25 / 1M tokens) powered by Hierarchical Sparse Attention
- 91.4% SWE-bench Verified resolution rate with deterministic JSON & tool-call schemas
- Sub-600ms TTFT across 500K+ token repository prompts
Primary Engineering Workloads: Autonomous Coding Agents · Multi-File Refactoring · High-Volume Enterprise RAG.
Frequently Asked Questions (GPT-6.1 Terra)
How much does OpenAI GPT-6.1 Terra cost per 1M tokens?
OpenAI GPT-6.1 Terra is priced at $2.00 per 1M uncached input tokens, $0.25 per 1M cached input tokens, and $8.00 per 1M output tokens (OpenAI Platform API (87.5% prompt cache discount via HSA KV-paging)).
What is the context window of OpenAI GPT-6.1 Terra?
It supports up to 2,000,000 tokens (2,000,000 tokens) and a maximum generation output of 131,072 tokens.
OpenAI Ships GPT-6.1 Terra at Half the Price, While Newcomer Mirendil Debuts Fern with a 10M-Token Context
A cheaper, faster computer-use model lands in ChatGPT Work, Codex, the API and Amazon Bedrock on the same day a new lab bets on extreme context length for agent workloads.
Read Full Technical Dispatch (5 min read) →