GPT-6.1 Sol
GPT-6.1 Sol is a model for coding, professional work, computer use, and multi-step workflows. OpenAI says it improves on GPT-6 Sol and approaches GPT-6 Astra on several evaluations at substantially lower cost.
What it does
Developers and users can use it for coding, document understanding, computer-use tasks, and multi-step business or scientific workflows.
- Availability
- Available today to Plus, Pro, Business, Enterprise, and Edu users in ChatGPT Work and Codex; available through the OpenAI API as gpt-6.1-sol; not yet available in Chat
- Pricing model
- $2 per million input tokens, $0.10 per million cached input tokens, and $10 per million output tokens
- Deployment
- ChatGPT Work, Codex, and OpenAI API
- Privacy
- US and EU data residency
- Licence
- Not established
Capability
Modality
Access
Deployment
Pricing
Target user
Evidence
14 claims- Ultrafast mode reduces the time between generated output tokens. [1]
Use gpt-6.1-sol with service_tier: "ultrafast" to reduce the time between generated output tokens.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights. - Ultrafast mode is available to all API users, subject to rate limits. [1]
It is available to all API users, subject to rate limits, with global processing and US and EU data residency.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights. - Use `gpt-6.1-sol` with `service_tier: "ultrafast"` in the Responses API. [1]
Use gpt-6.1-sol with service_tier: "ultrafast" to reduce the time between generated output tokens.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights. - Ultrafast mode has global processing and US and EU data residency. [1]
It is available to all API users, subject to rate limits, with global processing and US and EU data residency.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights. - GPT-6.1 Sol achieves 86.6% accuracy on the COBOL migration evaluation at low reasoning effort. [2]
On our COBOL migration evaluation, GPT‑6.1 Sol achieves 86.6% accuracy at low reasoning effort, compared with just 5.4% for GPT‑5.6 Sol, while costing 39% less.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights. - GPT-6.1 Sol reaches 97.9% accuracy on the COBOL migration evaluation at higher reasoning effort. [2]
At higher reasoning effort, accuracy reaches 97.9%, bringing the evaluation close to saturation.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights. - At low reasoning effort, GPT-6.1 Sol costs 61% of GPT-5.6 Sol's API cost. [2]
On this evaluation, GPT‑6.1 Sol achieves 86.6% accuracy at low reasoning effort, compared with GPT‑5.6 Sol’s 5.4% at the same setting at just 61% of the API cost.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights. - The announcement says production use still requires expert review and testing against the system's business rules and dependencies. [2]
Behavior-preserving capabilities like these are useful for teams maintaining and modernizing older systems, though applying it to production software still requires expert review and testing against the system’s business rules and dependencies.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights. - GPT-6.1 Sol is available to Plus, Pro, Business, Enterprise, and Edu users in ChatGPT Work and Codex. [3]
GPT-6.1 Sol is available starting today to all Plus, Pro, Business, Enterprise, and Edu users in ChatGPT Work and Codex.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights. - Developers can access GPT-6.1 Sol through the OpenAI API as gpt-6.1-sol. [3]
Developers can also access it through the OpenAI API as gpt-6.1-sol.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights. - Standard API prices are $2 per million input tokens, $0.10 per million cached input tokens, and $10 per million output tokens. [3] [4]
Its standard API prices are $2 per million input tokens, $0.10 per million cached input tokens, and $10 per million output tokens.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights. - On DeepSWE v1.1, GPT-6.1 Sol matches GPT-6 Astra at roughly one-fifth of the cost. [3]
On **DeepSWE v1.1**, which evaluates complex software-engineering tasks in real codebases, GPT-6.1 Sol matches GPT-6 Astra at roughly one-fifth of the cost, while eclipsing GPT-6 Sol’s best score by 6.4 percentage points at a lower reasoning effort and cost.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights. - On the OSWorld 2.0 offline set, GPT-6.1 Sol outperforms GPT-6 Sol by seven percentage points at maximum reasoning effort. [3]
On **OSWorld 2.0**’s offline set, which evaluates agents on demanding computer-use workflows, GPT-6.1 Sol outperforms GPT-6 Sol by seven percentage points at maximum reasoning effort at less than half the cost.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights. - GPT-6 Astra should be used for the most difficult scientific research tasks. [3]
GPT-6 Astra still achieves the highest score among the models tested at 68.1%, and should be used for the most difficult scientific research tasks.
OpenAI. Quoted text is outside CC BY 4.0 and keeps its original rights.
Sources
4
1
OpenAIOwner-controlled
https://developers.openai.com/api/docs/changelog#2026-10-08
Retrieved 2026-10-08 21:35 UTC
Verified
2
OpenAIOwner-controlled
https://openai.com/index/low-resource-programming-languages
Retrieved 2026-10-28 00:15 UTC
Verified
3
OpenAIOwner-controlled
https://openai.com/index/introducing-gpt-6-1-sol
Retrieved 2026-10-28 00:15 UTC
Verified
4
OpenAIOwner-controlled
https://developers.openai.com/api/docs/changelog#2026-09-29
Retrieved 2026-10-28 00:15 UTC
Verified
Versions
22| Version | Effective | Change | Changed fields | State |
|---|---|---|---|---|
| 22 | 2026-10-28 00:15 UTC | material change | capability, pricing, availability, pricing model | Current |
| 21 | 2026-10-26 01:24 UTC | material change | capability, pricing, availability, pricing model | Current |
| 20 | 2026-10-25 01:21 UTC | material change | capability, pricing, availability, pricing model, deployment | Current |
| 19 | 2026-10-24 01:52 UTC | material change | capability, access, pricing, availability, pricing model | Current |
| 18 | 2026-10-24 01:52 UTC | material change | access, pricing, availability, deployment | Current |
| 17 | 2026-10-23 01:34 UTC | material change | capability, access, pricing, availability, pricing model | Current |
| 16 | 2026-10-22 00:52 UTC | material change | capability, access, pricing, availability, pricing model | Current |
| 15 | 2026-10-22 00:52 UTC | material change | access, pricing, availability, deployment | Current |
| 14 | 2026-10-21 00:08 UTC | material change | capability, access, pricing, availability, pricing model, deployment | Current |
| 13 | 2026-10-20 01:04 UTC | material change | capability, pricing, availability, pricing model | Current |
| 12 | 2026-10-20 01:04 UTC | material change | access, pricing, availability, deployment | Current |
| 11 | 2026-10-18 02:53 UTC | material change | access, pricing, availability, deployment | Current |
| 10 | 2026-10-17 03:52 UTC | material change | access, pricing, availability, deployment | Current |
| 9 | 2026-10-16 04:48 UTC | material change | access, pricing, availability, deployment | Current |
| 8 | 2026-10-13 07:24 UTC | material change | access, pricing, availability, deployment | Current |
| 7 | 2026-10-11 09:15 UTC | material change | access, pricing, availability, deployment | Current |
| 6 | 2026-10-09 11:03 UTC | material change | capability, pricing, availability, deployment | Current |
| 5 | 2026-10-08 21:36 UTC | major release | pricing, capability, privacy, deployment, availability, release | Current |
| 4 | 2026-10-08 11:58 UTC | material change | access, pricing, availability, deployment | Current |
| 3 | 2026-10-07 12:56 UTC | material change | capability, access, pricing, availability, pricing model, deployment | Current |
| 2 | 2026-10-01 18:33 UTC | material change | availability, deployment | Current |
| 1 | 2026-09-29 20:20 UTC | publication | None | Current |
In briefs
3- Turn a prompt into an editable slide, poster, or dashboard Weekly brief 2026-W41
- Extract document layout and chart data, not just text Daily brief 2026-10-08
- OpenAI introduces GPT-6.1 Sol for coding and multi-step workflows Daily brief 2026-09-29
Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.
