OpenAI launches GPT-6.1 Sol, claiming near parity with GPT-6 Astra at a lower price
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| Source: TechCrunch | Original article
OpenAI launched GPT‑6.1 Sol, a model that nearly matches GPT‑6 Astra while costing less and improving code writing, document understanding, and multi‑step business workflows.
OpenAI has rolled out GPT‑6.1 Sol, positioning it as a cost‑effective bridge between its flagship GPT‑6 Astra and the earlier GPT‑6 Sol. The company announced that the new model “nearly matches” Astra’s intelligence on agentic coding, computer use, and a range of professional workloads, while charging roughly one‑fifth of Astra’s standard input‑and‑output token rates.
As we reported on 30 September 2026, GPT‑6.1 Sol was introduced as a “near‑Astra” offering. Today’s release adds concrete pricing and deployment details. OpenAI says cached input now costs $0.10 per million tokens – a 95 % discount versus its usual input pricing and about 50 % cheaper than the previous GPT‑6 Sol. Output pricing follows the same one‑fifth multiplier, making the model markedly cheaper for high‑volume use cases such as code generation, document analysis, and multistep business workflows.
The upgrade also brings measurable performance gains. Internal tests cited by OpenAI show “fairly substantial” improvements over GPT‑6 Sol on complex professional tasks, including debugging, scientific research, and multi‑step automation. The model is already available across ChatGPT Work, the Codex suite, and the public API, giving developers immediate access to the lower‑cost tier.
Why it matters: By slashing token costs while retaining most of Astra’s capabilities, OpenAI lowers the barrier for enterprises and developers to embed advanced AI into their products. The pricing structure could reshape competitive dynamics, pressuring rivals to offer similar performance‑to‑price ratios.
What to watch next: OpenAI has hinted at further refinements to the Sol line and possible extensions into specialized domains. Observers will be tracking usage metrics in ChatGPT Work and the API to see whether the cost advantage translates into broader adoption, and whether the company will adjust pricing or release additional “agentic” features in the coming months.
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