What GPT-6.1 Sol is
GPT-6.1 Sol is a cloud API model for coding, document understanding and multi-step professional work. API access means a developer sends requests from an application rather than using only a chat interface. It is distinct from the product surfaces, such as Work or Codex, that may use models alongside their own tools.
The provider positions Sol for demanding work, but that is not an independent result from this directory. A useful evaluation asks whether it completes a representative task with acceptable corrections, usage and delay, rather than treating the model's positioning as proof that it is the right default.
Read the official documentationHow it fits into a workflow
An illustrative document application sends approved source material and asks for structured findings. The application checks the returned structure, retains references and presents the output for review. For coding, the surrounding agent supplies repository tools and tests; the model name alone does not provide those capabilities or their permissions.
Examples described as illustrative or proposed trials are editorial suggestions. Documented real builds, when available, are linked separately below.
Requirements, cost and limitations
You need appropriate model access and an application or supported product surface. Check current API pricing and account limits; launch availability distinguishes Work and Codex from ordinary Chat access. Model usage, tools and the product subscription can have different billing arrangements.
Check current access and pricingWhen to choose it and what to compare
Evaluate Sol for a concrete coding or document workflow alongside other suitable models. Terra has a different visual-and-writing emphasis, while downloadable models bring different operating responsibilities. Compare task completion and correction effort without assuming a universal provider or model winner.
Technical details and documented capabilities
These details come from the linked sources, checked 2026-10-27. Open the current documentation before planning a deployment or migration.
- Type
- Cloud API models
- Runs on / through
- Cloud service; check supported products and regions
- Execution choices
- cloud
- License or access terms
- Commercial cloud service terms
- Designed for coding and multi-step professional tasks.
- An API model can be integrated into a bounded application workflow.
Access, running cost and practical requirements
Frontier hosted candidate — editorial selection. How we use this label.
OpenAI API; announcement lists Plus, Pro, Business, Enterprise and Edu in ChatGPT Work/Codex, and explicitly excludes ordinary Chat at launch. Confirm account availability rather than rewriting launch status as universal current access.
Developer API prices
- Billing route
- Standard API
- Units
- USD per one million tokens
- Input
- $2
- Cached input
- $0.1
- Output
- $10
Above 272K input tokens, the entire request uses 2x input/cache and 1.5x output rates. Batch/Flex are half Standard; Fast 2x, Ultrafast 6x. Tool usage can add charges.
API prices are not a chat subscription price. A token is a unit of processed text; images and other inputs have their own token accounting. Repeated history, reasoning output and tools can change the final bill. A subscription may offer separately claimed credits, subject to its terms.
Understand subscriptions, API billing and creditsAPI input, output and context specifications
- API model ID
- gpt-6.1-sol
- Input
- text, image
- Output
- text
- Published context ceiling
- 1,050,000
- Default maximum output
- 128,000
Product interfaces and their defaults can differ from the API ceiling. A long context limit is not a guarantee that the model reliably uses every detail.
What the configuration changes
Documented support for tool calling and structured outputs; tool calling requires Responses API.
Supports low/medium/high/xhigh/max reasoning effort; effort is a cost and latency choice.
No native audio/video input in the model page. Tools can add capabilities without changing the model's native modalities.
Codex/Work default context is 500K; do not present the 1.05M API ceiling as the default in every product.
Benchmark evidence and what it means
These are selected source-reported observations, not a league table. Task, version, tool access, reasoning budget and test harness all affect a result. A historical score does not establish current leadership or accuracy on your own work.
OpenAI internal factuality evaluation on deliberately error-inducing prompts
- Reported result
- 7.7 percent of answers containing at least one factual error; lower is better
- Model / checkpoint
- GPT-6.1 Sol
- Evidence
- OpenAI — publisher-reported, not tested by PrisAIm
- Date
- Exact source publication / evaluation date not established
- Conditions
- Low reasoning effort; de-identified ChatGPT conversations where an earlier answer had been flagged as erroneous. Not representative of normal usage; dataset not independently reproduced.
Sources and evidence
Product facts are based on the following published sources, checked 2026-10-27. Workflow suggestions and comparisons are editorial interpretation; PrisAIm has not independently benchmarked this product.
Official overview or announcement Access and pricing