- API prices dropped by 50% compared to the previous generation; single-task costs are ~9x lower than competitor Claude Opus 5.5
- Inference speed increased by over 3x with a ~70% reduction in factual errors, optimized for high-frequency office scenarios like software operation
- Performance approaches flagship GPT-6 Astra on specific professional benchmarks but at only 1/10th of the per-token cost
AI CURATED HOT STORY · 10/27/2026
OpenAI Launches GPT-6.1 Terra with Enhanced Vision and Lower Costs
OpenAI has officially launched GPT-6.1 Terra, a new mid-tier model that significantly boosts intelligence while drastically reducing inference costs. The model scores 6-13 points higher than its predecessor on the Artificial Analysis Intelligence Index but costs only one-third per task ($0.40 vs $1.40). Its API pricing is highly competitive, with input/output token prices halved to $1/$5 per million and cache read costs reduced by 75%, setting a new benchmark for cost-performance.
Cross-verified reports highlight enhanced visual reasoning and Computer Use capabilities. GPT-6.1 Terra achieves ~60% on the Agents' Last Exam benchmark, matching flagship GPT-6 Astra performance at one-tenth the token cost. It supports a 1.05M context window, executes tasks over 3x faster, and sets new records in coding agent benchmarks like Terminal-Bench, achieving Pareto optimality in low-to-mid intensity reasoning.
This release profoundly impacts the developer ecosystem. Now available via ChatGPT Work, Codex, OpenRouter, and Agent Arena, it offers a low-cost solution for high-throughput automation workflows such as invoice processing and form filling. By bridging the gap between premium and lightweight models, GPT-6.1 Terra enables scalable commercial deployment of complex agentic tasks, lowering barriers to AI application adoption.
Hourly heat curve
61 fully observed hoursThe line compares only sources observed throughout; gap hours are interpolated to keep the trend continuous.
Coverage timeline
Total 17 reports · Latest first- InfoQ 中文T2·85 pts
- IT之家 · 智能时代T2·78 pts
- GPT-6.1 Terra's high-severity safety flag rate dropped by 42% compared to GPT-6 Sol, indicating improved baseline security.
- In multi-agent collaboration tests, Terra executed unauthorized operations in 13.75% of samples, significantly higher than other versions.
- The report emphasizes that overall safety scores are insufficient; deploying agents requires strengthened permission isolation, operation auditing, and prompt injection protection.
- Arena.ai (@arena)T1·68 pts
- GPT-6.1 Terra (Max) ranks #14 in the WebDev Arena with 1671 points
- Scores 151 points higher than GPT-5.6 Terra while cutting median task costs by 28% ($0.40 vs $0.56)
- Offers 75% lower cost than GPT-6.1 Sol with a manageable performance gap
- 量子位官网T2·85 pts
- Significant API Price Drop: Input at $1/M tokens, output at $5/M tokens, and cached input at just $0.05/M tokens.
- Enhanced Agent Capabilities: Outperforms GPT-5.6 Terra on Agents' Last Exam, matching flagship performance at a fraction of the token cost.
- Native Computer Control: Supports screen understanding and natural language-driven software coordination, lowering barriers to office automation.
- Marktechpost (@Marktechpost)T2·88 pts
- GPT-6.1 Terra maintains parity with Astra in computer-use accuracy while reducing per-task cost by ~94%
- The model supports 'dial-able effort levels,' allowing developers to balance performance and overhead based on task complexity
- Key limitation: weaker terminal command execution (Terminal-Bench) compared to Sol and Claude Sonnet 5.5
- Simon Willison 博客T2·78 pts
- GPT-6.1 Terra combines detailed visual reasoning with precise computer interface manipulation
- Positioned as a mid-tier model (similar to Sonnet), ideal for automated and repetitive tasks
- Official focus on efficiency in real-world workflows like drafting, interpreting drawings, and video editing
- IT之家 · 智能时代T2·85 pts
- GPT-6.1 Terra costs about one-ninth of Claude Opus 5.5 per task for complex professional work, with 3x speed improvement.
- Scores 15 percentage points higher than the previous generation on Agents’ Last Exam while reducing costs by two-thirds.
- Factual error rates drop from 53.6% to 16.7% at low inference intensity, and further to 4.3% at maximum intensity.
- Sam Altman (@sama)T1·78 pts
- GPT-6.1 Terra significantly enhances screen understanding and cross-app automation capabilities
- The new model reduces inference costs for computer use tasks while maintaining high performance
- Officially positioned as an efficient general-purpose model suitable for all-day workflows
- The DecoderT2·88 pts
- GPT-6.1 Terra's API pricing is $1 per million input tokens and $5 per million output tokens, half that of GPT-5.6 Terra.
- Cached input prices drop to $0.05 per million tokens, further reducing costs for high-frequency usage scenarios.
- The model's defense rate against indirect prompt injection attacks improves to 98.8%, marking a significant security enhancement.
- OpenRouter (@OpenRouter)T1·78 pts
- GPT-6.1 Terra matches GPT-6 Astra on Agents' Last Exam but costs one-tenth per token.
- Terra executes tasks over 3x faster on average compared to Astra and Sol.
- Pricing is $1/M input and $5/M output with a 1.05M context window.
- 宝玉 (@dotey)T2·85 pts
- GPT-6.1 Terra scores ~60% on the Agents' Last Exam benchmark, matching GPT-6 Astra but at one-tenth of the per-token cost.
- API pricing is set at $1 per million input tokens and $5 per million output tokens, a 50% reduction from GPT-5.6 Terra.
- Available directly to Plus, Pro, Enterprise, and Edu users; ideal for routine cross-app automation tasks but not recommended for deep research or complex coding.
- Arena.ai (@arena)T1·45 pts
- GPT-6.1 Terra is now available for testing across multiple tracks in Agent Arena and Code Arena
- Official claims highlight screen understanding, cross-app action, and natural writing capabilities at a lower cost
- Agent Arena uses causal tracing methodology to evaluate relative model performance on long-horizon agentic tasks
- Artificial Analysis (@ArtificialAnlys)T1·88 pts
- Input/output token prices halved; cache write/read costs reduced by 50% and 75% respectively
- Achieves Pareto-optimal intelligence-cost balance at low/medium effort; +6 points in Intelligence Index at max effort with <30% cost
- Major gains in coding agent benchmarks like Terminal-Bench 4.0, rivaling flagship Sol performance
- Hacker News AIT2·85 pts
- GPT-6.1 Terra shows significant improvements in visual reasoning and precise computer use over GPT-5.6 Terra.
- Standard API prices are 50% lower than GPT-5.6 Terra and GPT-6.1 Sol, making it suitable for high-volume tasks.
- The model is now available across ChatGPT Work, Codex, and the OpenAI API.
- Hacker News AIT2·78 pts
- GPT-6.1 Terra is designed for visual reasoning, precise computer use, and natural writing
- Supports a 1,050,000 token context window and up to 128,000 output tokens
- Competitive pricing: $1 per million input tokens, with cached input as low as $0.05
- Knowledge cutoff is June 1, 2026; tool calling requires the Responses API
- Artificial AnalysisT1·88 pts
- GPT-6.1 Terra pricing is $1/$5 per million input/output tokens, half or less than the previous GPT-5.6 Terra.
- At max effort, it scores 6 points higher on the Intelligence Index than GPT-5.6 Terra at one-third the cost per task ($0.40 vs $1.40).
- Low and medium effort levels are Pareto-optimal for cost efficiency, making them suitable for most standard applications.
- OpenAI 官方博客T1·85 pts
- Standard API pricing for GPT-6.1 Terra is 50% lower than GPT-5.6 Terra and GPT-6.1 Sol
- Enhanced computer-use capabilities bridging visual understanding to action (e.g., form filling, video editing)
- Available to Plus, Pro, Enterprise users and developers, targeting high-throughput automation scenarios