OpenAI unveils GPT-6.1 Terra, a model optimized for visual reasoning, computer use, and natural writing to boost professional workflows, delivering faster task completion and lower API costs versus GPT-5.6 Terra.

Terra pricing is $1 per 1,000 input tokens and $5 per 1,000 output tokens, with Luna at $0.10/$0.50, Sol at $2/$10, and Astra at $10/$50 per 1,000 tokens respectively.

In benchmarks, Terra matches or nears GPT-6.1 Sol and GPT-6 Astra on several tests, achieving 85.5% on MMMU-Pro Vision (max effort) while showing varied results on other suites.

Industry experts warn that greater model autonomy brings operational and security risks, underscoring the need for routing controls, ROI assessment, access limits, and human oversight to scale safely.

Independent verification of OpenAI’s claims isn’t available yet; third-party testing is needed and admin controls on Business/Enterprise plans may apply.

The article notes benchmark figures, cost comparisons, and cautions that vendor-reported results shouldn’t be generalized across all use cases.

No market data was provided on token price at launch, and no specific future catalyst date was announced.

Effort level is a major lever; choosing the right mix of model and effort is crucial to hitting quality targets.

Analysts say price cuts could signal stronger demand and profitability or raise questions about value as OpenAI and Anthropic pursue public listings.

OPEN ROUTER integration and a rolling 24-hour data window power the channel for live model comparisons on MODEL FACE-OFF channel 13.