OpenAI · tested in Taskade Genesis
GPT-5.6 Sol in Taskade
GPT-5.6 Sol from OpenAI runs on the Max and Enterprise plans. We last tested it on Oct 8, 2026 in TSK-1, our app-building test.
- Status
- Available
- Plan
- Max and Enterprise
- Where to pick it
- More models or All Models
- Your own key
- OpenAI
- Last test
- Context window
- 1.05Mtokens
- Max output
- 128Ktokens
- Released
- Knowledge cutoff
- Where it runs
- 8services
TSK-1 scorecard for the GPT family
TSK Score
GPT family, across real apps made in Taskade Genesis
- Interfaceready to share
- Strong
- Taskcompletes your task
- Leading
- Memorykeeps your data
- Strong
- Adapthandles follow-up edits
- Leading
The login-wall lesson, and a turnaround.
MoreLess
Through September Sol built wide apps with complete data but kept adding sign-in screens nobody asked for. In October its family intake form needed no sign-in, both of its apps labeled their sample data, and both follow-up changes landed.
Published scores
Benchmark scores that OpenAI and test sites published for GPT-5.6 Sol. Taskade did not re-run them. Lab-reported marks a score from OpenAI itself.
| Benchmark | Score | Source |
|---|---|---|
| SWE-Bench Proresolve rate · OpenAILab-reported | 64.6% | OpenAILab-reported |
| Terminal-Benchsuccess rate · v2.1 · OpenAILab-reported | 88.8% | OpenAILab-reported |
| OSWorldsuccess rate · v2.0 · OpenAILab-reported | 62.6% | OpenAILab-reported |
| BrowseCompaccuracy · OpenAILab-reported | 90.4% | OpenAILab-reported |
| Toolathlonsuccess rate · OpenAILab-reported | 58% | OpenAILab-reported |
| GPQA Diamondaccuracy · OpenAILab-reported | 94.6% | OpenAILab-reported |
| FrontierMathaccuracy · v2 · Tier 1-3 · OpenAILab-reported | 89% | OpenAILab-reported |
| MMMU Proaccuracy · no tools · OpenAILab-reported | 83% | OpenAILab-reported |
More published scores (4)
| Benchmark | Score | Source |
|---|---|---|
| DeepSWEresolve rate · v1.1 · OpenAILab-reported | 72.7% | OpenAILab-reported |
| Agents' Last ExamOpenAILab-reported | 52.7 | OpenAILab-reported |
| Artificial Analysis Intelligence Indexindex score · v4.1 · max · Artificial Analysis | 58.9 | Artificial Analysis |
| Artificial Analysis Coding Agent Indexindex score · v1.1 · max · Codex · Artificial Analysis | 80 | Artificial Analysis |
Scores collected by models.dev (MIT). Each source links the page that published the score.
Versions tested
Open a version to read its findings.
GPT-5.6 SolTested Oct 202611 findings
The login-wall lesson, and a turnaround. Through September Sol built wide apps with complete data but kept adding sign-in screens nobody asked for. In October its family intake form needed no sign-in, both of its apps labeled their sample data, and both follow-up changes landed.
Added a sign-in screen the brief never asked for, and did not say so.
Added the same unasked-for sign-in screen again. Repeatable enough that it shaped how we score a build that answers a different brief than the one given.
Added a sign-in gate to the match tracker again, the third time in three tests.
Put an unasked sign-in screen in front of two of its three finished client sign-up builds, over complete data and three scoring runs.
Built a 34-field fleet-inspection form and left the Thursday reminder switched off.
Built the widest governance office of the test, with seven pages and every named item, behind a sign-in screen.
Built a two-page match tracker with no sign-in screen.
Passed all five follow-up-edit tests, but the habit tracker sat behind a sign-in screen it added itself.
Put a sign-in screen nobody asked for in front of a personal match tracker, and its summary did not mention that an account had to be created first.
Built the family intake form so it saved every answer and both photos, labeled its sample family, and said on the teacher page that it needs no sign-in. The new teacher question landed.
Built the Dota 2 match tracker with its sample matches labeled as a demo, saved a logged match with every detail, and put the new heroes page in both the desktop and the phone menu.
Results by task
Model facts
The token limits are the most the model accepts. Taskade can run it with lower limits.
- Last updated
- Input types
- Text, Images, PDF
- Output types
- Text
- Reasoning
- Yes
- Tool calling
- Yes
- File attachments
- Yes
- Structured output
- Yes
- Open weights
- No
- Reasoning effort
- NoneLowMediumHighExtra highMax
Published specs from the model maker, via models.dev (MIT).
Run GPT-5.6 Sol with your own key
Taskade runs it for you. You can also pick it with your own key in a custom agent.
| Key provider | Plan |
|---|---|
| OpenAI | Pro and up |
Where it runs
Services outside Taskade that serve GPT-5.6 Sol, from models.dev. Each link opens in a new tab. In Taskade, your own key works only through the key providers on this page.
How to choose GPT-5.6 Sol
- In the builder chat, open the model menu and choose More models. Then pick the model.
- In the agent editor, pick the model under All Models.
- If your model menu does not show the model, Taskade uses TSK-Auto instead.
Where GPT ranks
TSK Score out of 100.
Compare GPT
Other OpenAI models
FAQ
Which Taskade plans include GPT-5.6 Sol?
GPT-5.6 Sol runs in Taskade on the Max and Enterprise plans. If your model menu does not show it, Taskade uses TSK-Auto instead.
Has Taskade tested GPT-5.6 Sol?
Yes. We last tested GPT-5.6 Sol on Oct 8, 2026 in the TSK-1 Benchmark. The login-wall lesson, and a turnaround. Through September Sol built wide apps with complete data but kept adding sign-in screens nobody asked for. In October its family intake form needed no sign-in, both of its apps labeled their sample data, and both follow-up changes landed.
How do I choose GPT-5.6 Sol in Taskade?
In the builder chat, open the model menu and choose More models. Then pick GPT-5.6 Sol. In the agent editor, pick it under All Models.
Can I use my own API key for GPT-5.6 Sol?
Yes. In a custom agent, you can pick GPT-5.6 Sol with your own key from OpenAI (Pro and up). Your provider bills the model use to your own account.
Who makes GPT-5.6 Sol?
OpenAI makes GPT-5.6 Sol. Taskade runs it on the Max and Enterprise plans, beside frontier models from other top AI labs.