OpenAI positions the GPT-6.1 Sol close to the Astra in professional tasks at a fraction of the price. See how to compare quality, cache, latency, and total cost per stream.
Direct answer
OpenAI introduced GPT-6.1 Sol on September 29, 2026 with API pricing of $2 per million tokens in, $0.10 in cached input, and $10 in output. The company claims performance close to the GPT-6 Astra in programming, computer use and professional work, with standard entry and exit prices equivalent to one-fifth of that of the Astra. The business decision, however, must use tests of the flow itself and cost per task completed, not just price per token or supplier benchmark.
Price per token is not cost per result
A cheap model may require more trying, reviewing, or tooling. Measure complete cost per accepted task, including tokens, external calls, infrastructure, human time and failures.
Cache favors agents with repeated context
Caching reduces cost when instructions, policies, base documents, or prefixes are repeated. The gain depends on stable architecture and observability of the real reuse rate.
Capability needs to be tested in the domain
Software, document, and automation benchmarks indicate direction, but do not represent contracts, internal systems, or specific exceptions. Build an evaluation set with normal cases, adversarial cases, and authorization limits.
Routing can overcome single choice
Mature flows route simple tasks to efficient models and escalate exceptions to more capable models. The policy must consider risk, difficulty, confidentiality, time and need for review.
Nexus Reading
The opportunity is to increase automation coverage while maintaining evidence and control. Before switching models, compare net quality, total cost, latency, security, and operational impact in parallel execution.
FAQ
GPT-6.1 Sol replaces Astra in all cases?
No. OpenAI itself positions Astra for the most difficult tasks; The best model depends on flow and risk.
Does caching always reduce cost?
Only when relevant parts of the input are reused and meet the platform's caching rules.
Which metric to use in pilot?
Cost per accepted task, completion rate, critical errors, total time, and human review burden.
Essential guides to delve deeper into the decision
This editorial analysis was produced by Nexus from the official sources below, consulted on October 6, 2026. The text is original and interprets practical implications for companies.
- OpenAI — Introducing GPT-6.1 Sol: stated capabilities, reviews, prices, availability and limitations.
- OpenAI — Product releases: launch date and position in the GPT-6 family.
Date reported by the main source: September 29, 2026.