OpenAI · tested in Taskade Genesis
How GPT builds in Taskade Genesis
Use GPT in Taskade Genesis for detailed requests and fast delivery.
Last test
TSK-1 scorecard for GPT
TSK Score
Task completion across real apps built in Taskade Genesis
- Interfaceready to share
- Strong
- Taskcompletes your task
- Leading
- Memorykeeps your data
- Strong
- Adapthandles follow-up edits
- Leading
GPT is strongest at following detailed requests and finishing quickly.
MoreLess
GPT-6.1 Sol, the newest, shared the top result of our September phone-form test. Luna preserves exact wording and builds complete apps efficiently. Terra is the fastest in nearly every test it enters. GPT-5.6 Sol builds wide apps but can add sign-in screens nobody asked for.
Where does GPT rank?
TSK Score out of 100.
| Date | GPT-6.1 Sol | GPT-6 Luna | GPT-5.6 Luna | GPT-5.6 Terra | GPT-5.6 Sol |
|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 1, tested this day | |
| 0 | 0 | 0 | 0 | 2, tested this day | |
| 0 | 0 | 1, tested this day | 0 | 2 | |
| 0 | 0 | 2, tested this day | 0 | 2 | |
| 0 | 0 | 3, tested this day | 1, tested this day | 2 | |
| 0 | 0 | 4, tested this day | 2, tested this day | 2 | |
| 0 | 0 | 5, tested this day | 2 | 2 | |
| 0 | 0 | 6, tested this day | 3, tested this day | 3, tested this day | |
| 0 | 0 | 7, tested this day | 4, tested this day | 3 | |
| 0 | 0 | 8, tested this day | 4 | 3 | |
| 0 | 0 | 9, tested this day | 4 | 3 | |
| 0 | 0 | 10, tested this day | 5, tested this day | 4, tested this day | |
| 0 | 1, tested this day | 11, tested this day | 6, tested this day | 5, tested this day | |
| 1, tested this day | 1 | 12, tested this day | 6 | 5 | |
| 1 | 1 | 13, tested this day | 7, tested this day | 6, tested this day | |
| 1 | 2, tested this day | 13 | 7 | 6 | |
| 1 | 2 | 14, tested this day | 7 | 6 | |
| 1 | 2 | 15, tested this day | 7 | 6 | |
| 2, tested this day | 2 | 15 | 8, tested this day | 6 |
Which GPT versions did we test?
Open a version to read its findings.
GPT-6.1 SolTested Oct 20267 findings
The newest GPT we test. All three of its family intake forms saved every answer and both photos, parents could use them without an account as the request asked, and every follow-up change landed. In October it built the most complete match tracker of its test.
Built the family intake form three times. All three saved every answer and both photos, and parents could fill them in without an account, as the request asked.
In two of the three builds the teacher page listed every family with their photos. In the third it read the saved answers wrong and showed "No photos saved" for a complete entry.
Added the new teacher question in all three apps, saved it with each submission, and put the change live.
Every closing summary said what it had not tested and pointed out that the teacher page was open to anyone with the link.
Built a newer version of the family intake form in about 12 minutes: a four-step form, a teacher page and a printable summary page, with the closest fit to the requested look in its test. It did not save the date and time of each submission.
Built the most complete Dota 2 match tracker of its test in about 12 minutes, with four tabs, a date filter, and win rate, KDA and MMR tiles. Before the first match was logged, its win rate tile showed two black blocks.
Built a polished five-step client sign-up form with a review queue in about 18 minutes, but its automation only filled in fields, so staff had to score each applicant by hand.
GPT-6 LunaTested Oct 20263 findings
The newest Luna, tested on the Dota 2 match tracker. In October it built the tracker with every requested detail, a coach and a weekly recap in about 10 minutes, then added a heroes page when asked.
Built a match tracker that saved a logged match and took any hero name, but its dashboard opened empty because the app hid every sample match. The build took about 18 minutes.
Built the Dota 2 match tracker in about 10 minutes with every detail the request named (hero, result, kills, deaths, assists, duration, notes, win rate and streaks), a coach agent and a weekly recap automation.
Added the heroes page and its menu link in about 8 minutes and put the change live. A logged match saved and showed in the app.
GPT-5.6 LunaTested Oct 202624 findings
The most faithful model we have tested. It reproduced all 32 questions of a real client sign-up form word for word again, built a scoring automation that ran, and passed every September follow-up-edit test. In October it built three apps five times each, and every build saved its data.
Reproduced all 32 questions of a real client sign-up form word for word. The only model to get all four of its builds word for word across more than one test.
The only model to build a working scoring grid: 33 rows by 5 ratings, with every score saved straight back into the workspace.
The best client sign-up form Luna has built: nothing stalled, and a human reviewer called it beautiful.
The only model to explain its own design choices, and both builds carried all 32 questions word for word.
Built an app in about 11 minutes and changed it in about 6.
Its match tracker crashed on the first real entry and its sign-up form rejected the first submission; later tests finished cleanly.
Built every app in a five-model test of identical prompts.
Same result after a large Taskade update, with fewer failed build steps.
Kept a build checklist inside both apps, so the finished work could be checked against the request.
Built the client sign-up form with four pages and a scoring automation that ran on its own.
Built the fleet-inspection app with both weekly automations live in 7 minutes 18 seconds.
Built the AI governance office in 6 minutes 38 seconds with all 24 named items in place.
Built a complete match tracker with a live dashboard and a weekly recap automation.
Passed all five follow-up-edit tests on its habit tracker.
Its recipe box rendered as a warm printed cookbook in light and dark, with every page loading cleanly.
Built a two-page match tracker in 8 minutes 19 seconds, the fastest complete build of its test, and a match saved from the app came back with all eight details in place.
Built the family intake form so it saved every answer and both photos, and added the new teacher question cleanly.
Its public class assistant told an anonymous visitor a child's name from a saved form.
Built the family intake form twice. One build saved every answer and both photos in under 5 minutes. In the other, every parent submission failed on the photo permission question, although its closing summary said the form had worked.
Built the Dota 2 match tracker twice in about 5 and a half minutes each. Both saved a logged match with every detail and added a ranked heroes page when asked.
Built the same Dota 2 match tracker five times. Every build saved a logged match with every detail and showed it on the dashboard. Three were complete. One counted every win as the current streak, and one was a single page that offered six heroes and no match history.
Built the reading list five times, four of them in about 4 minutes. Every build saved a book added from the app with its author and status, and each status filter showed the right book. One build stopped after writing its plan until it was asked to go on.
Built the family intake form five times, in about 4 to 6 minutes each. Every build saved each answer and both photos, and the new teacher question saved and showed on the teacher page each time. Only one saved the date and time of each submission that the request asked for, and one teacher page showed raw answer codes.
Built the Dota 2 match tracker five more times, in about 5 minutes each. Every logged match saved and showed on the dashboard, and one build counted the current streak wrong.
GPT-5.6 TerraTested Oct 202616 findings
The fastest model in nearly every test it enters, and the first to pass every check in a single run: it built the app, took a form submission, put every answer in the right place, ran the automation, and answered questions about the data. It also turned its weakest result around, from three tests where none of the brief came through word for word to all 32 questions word for word.
The first model to pass all five checks in one run: built the app, took a submission, saved every answer in the right field, ran the automation, and answered questions about the data.
Fastest of the test: 8 minutes 26 seconds.
Both builds carried all 32 questions word for word, after three tests where none of the four came through. A change of setting turned it around.
Terra's premium setting delivered less than Luna on the client sign-up form: a single page rewritten 19 times.
Best all-round match tracker and best client sign-up build of the test: form to saved score worked on the first try.
The quality pick in a five-model test of identical prompts.
Fastest complete client sign-up build of the test at 5 minutes 6 seconds; it left the scoring automation out.
Finished a two-page sales pipeline with a daily call brief in 10 minutes 47 seconds.
Finished the governance office in under 6 minutes and the fleet inspection in under 5.
Passed all five follow-up-edit tests; its recipe box was a single page.
Built a clean match tracker in about 11 minutes, but its match form offered only four heroes from its own sample list, so a player could not log the hero they played.
Built the family intake form twice, about 4 minutes each, and both saved every answer and both photos. One opened in a dark look where the request asked for cream paper. The other asked first who could open the teacher page, then put it behind a teacher sign-in.
Built the Dota 2 match tracker twice in under 4 and a half minutes, and both added a ranked heroes page when asked. One build labeled its starter matches, and the other ran wider than a phone screen on every page.
Built the client sign-up form twice, in about 5 to 6 minutes each. Both had a staff page and an AI scoring automation that writes each applicant's score and outcome. One saved no scoring guide in the workspace for its assistant to read.
Built a newer version of the family intake form twice, in under 7 minutes each: a three-step phone form with photo upload and a teacher page. Neither drew the colored-pencil doodles the request asked for, and one put a teacher sign-in link in the parents' header.
Built a Dota 2 match tracker twice from a two-word request, in under 7 minutes each. One showed live stats, a match form and a heroes page in a plain design. The other had the most polished design of its test, but its four stat tiles showed a dash while its match history held five matches.
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.
Model facts
The dates, limits and features of each tested model, as models.dev lists them. They describe the model, not how Taskade runs it.
| Model | Released | Knowledge cutoff | Context window in tokens | Max output in tokens | Input | Reasoning | Tool calling | Open weights |
|---|---|---|---|---|---|---|---|---|
| GPT-6.1 Sol | 1.05M tokens | 128K tokens | Text, Images, PDF | Yes | Yes | No | ||
| GPT-6 Luna | 1.05M tokens | 128K tokens | Text, Images, PDF | Yes | Yes | No | ||
| GPT-5.6 Luna | 1.05M tokens | 128K tokens | Text, Images, PDF | Yes | Yes | No | ||
| GPT-5.6 Terra | 1.05M tokens | 128K tokens | Text, Images, PDF | Yes | Yes | No | ||
| GPT-5.6 Sol | 1.05M tokens | 128K tokens | Text, Images, PDF | Yes | Yes | No |
Published specs from the model maker, via models.dev (MIT).
Published scores
The benchmark scores that labs and test sites published for each GPT model, with a link to each source. TSK-1 tests how a model builds apps. These scores test other skills.
How did GPT do on the same request?
The family intake form, five builds by one model
All models →The request
Parents fill in a form on their phone with two to four photos, the teacher sees every family on one page, and then we ask for one more question on the form.
GPT-5.6 Luna5 builds (best works, worst has gaps)Works
All five saved every answer and both photos, and the new teacher question saved and showed on the teacher page each time. Only one saved the date and time of each submission that the request asked for, and one teacher page showed raw answer codes.
The reading list, five builds by one model
All models →The request
A simple reading list: books with a title, an author and a status (to read, reading or done), on one page that lists them and filters them by status.
GPT-5.6 Luna5 builds (same result)Works
All five saved a book added from the app with its author and status, and each status filter showed the right book. One build stopped after writing its plan until it was asked to go on.
The family intake form, more models
All models →The request
Parents fill in a form on their phone with two to four photos, the teacher sees every family on one page, and then we ask for one more question on the form.
GPT-5.6 Sol1 buildWorks
Saved every answer and both photos, labeled its sample family, and kept the teacher page open with no sign-in. The new teacher question landed.
GPT-5.6 Luna2 builds (best works, worst has gaps)Works, with gaps
One build saved every answer and both photos in under 5 minutes. In the other, every parent submission failed on the photo permission question.
GPT-5.6 Terra3 builds (best works, worst has gaps)Works, with gaps
All three builds saved every answer and both photos in about 4 minutes or less. One opened in a dark look where the request asked for cream paper.
A Dota 2 match tracker with a heroes page
All models →The request
One player logs each match with hero, result, kills, deaths, assists, duration and notes, a dashboard shows win rate and streaks in a premium esports look, and then we ask for a heroes page.
GPT-5.6 Sol1 buildWorks
Labeled its sample matches as a demo, saved a logged match with every detail, and put the new heroes page in both menus.
GPT-5.6 Luna2 builds (same result)Works
Both builds took about 5 and a half minutes, saved a logged match with every detail, and added a ranked heroes page when asked. Sample matches showed as the player's own history.
GPT-5.6 Terra2 builds (same result)Works
Both builds took under 4 and a half minutes and added a ranked heroes page. One labeled its starter matches, and the other ran wider than a phone screen.
A family intake form on a phone
All models →The request
Parents fill in a form on their phone with two to four photos, the teacher sees every family on one page, and then we ask for one more question on the form.
GPT-6.1 Sol3 builds (same result)Works
All three saved every answer and both photos, and every follow-up change landed. One teacher page misread its saved answers.
GPT-5.6 Luna1 buildWorks, with gaps
A complete build: every answer and both photos saved. Its public assistant told a visitor a child's name.
A match tracker
All models →The request
One player logs each game with hero, result and notes, and a dashboard shows win rate and streaks.
GPT-5.6 Luna1 buildWorks
The fastest complete build, in 8 minutes 19 seconds. A match saved from the app came back with all eight details.
GPT-5.6 Terra1 buildWorks, with gaps
A clean tracker, but its match form offered only four heroes.
GPT-6 Luna1 buildWorks, with gaps
Saved a logged match and took any hero name, but the dashboard opened empty because the app hid every sample match.
GPT-5.6 Sol1 buildWorks, with gaps
Put a sign-in screen nobody asked for in front of a personal tracker.
Most results come from one build. Where a model built the app more than once, we show its best and worst build. Read the results as a guide, not a final ranking.
Preview runs
Early runs from our newest tests that the ranking does not count yet. Each one used different model settings than Taskade uses, and some were design tests run by hand. Each run says whether it finished an app and what it built. They get no points and no rank, so read them as notes, not results.
18 preview runs, newest Oct 28, 2026
GPT-5.6 Sol7 preview runs, newest Oct 23, 2026Preview, not ranked
· Preview run, not ranked: tested with different model settings than Taskade uses.
Finished an app. Asked for: a clinic patient intake form.
A clinic form, a review page and an automation that only adds a comment.
Its review page was open to anyone, and it offered a staff sign-in only as a suggestion.
· Preview run, not ranked: tested with different model settings than Taskade uses.
Finished an app. Asked for: the client sign-up form with scoring.
The most finished first view of its test: a large headline and four stat tiles.
The form called itself confidential while the dashboard with every answer was the public home page.
· Preview run, not ranked: a design test run by hand, with different model settings than Taskade uses.
Finished an app. Asked for: the client sign-up form with scoring.
A light first view with ruled lines and a score rail, and AI scoring with the cutoff it asked the user for.
It added no sample entries, so the review queue opened empty. Its closing summary said no staff sign-in existed yet.
· Preview run, not ranked: a design test run by hand, with different model settings than Taskade uses.
Finished an app. Asked for: the client sign-up form with scoring.
A clean four-step form that kept every question word for word, and AI scoring that was set up but not yet run.
The dashboard was public and linked from the top bar, and its closing summary said it had no sign-in.
· Preview run, not ranked: a design test run by hand, with different model settings than Taskade uses.
Finished an app. Asked for: the client sign-up form with scoring.
A warm linen first view with a score rail, a matching dark look, and AI scoring.
Its closing summary said the staff dashboard was open to anyone with the link. On a phone its chat button covered a label.
· Preview run, not ranked: a design test run by hand, with different model settings than Taskade uses.
Finished an app. Asked for: the client sign-up form with scoring.
The AI scoring that the request asked for, with the cutoffs from the user’s answer.
It asked who could open the app before it built. Its closing summary asked the user to turn on access that was already on.
· Preview run, not ranked: a design test run by hand, with different model settings than Taskade uses.
Finished an app. Asked for: the client sign-up form with scoring.
A warm ivory, teal and copper review workspace with all 32 questions word for word and a scoring guide.
It pointed out an unclear question in the request instead of guessing.
GPT-5.6 Terra5 preview runs, newest Oct 27, 2026Preview, not ranked
· Preview run, not ranked: tested with different model settings than Taskade uses.
Finished an app. Asked for: a nonprofit intake and case management app.
An intake form, a case workspace, and automations that kept saving answers after the chat was summarized.
It asked to confirm who can open the app, even though that choice was already saved.
· Preview run, not ranked: tested with different model settings than Taskade uses.
Finished an app. Asked for: a clinic patient intake form.
A clinic form and a review page.
Its review page was open to anyone, and it offered a staff sign-in only as a suggestion.
· Preview run, not ranked: tested with different model settings than Taskade uses.
Finished an app. Asked for: a status page from a one-word request.
One page in ember orange on warm paper, with a large headline.
It built one page only.
· Preview run, not ranked: a design test run by hand, with different model settings than Taskade uses.
Finished an app. Asked for: the client sign-up form with scoring.
A one-question-at-a-time form with a progress bar, all 32 questions word for word, and AI scoring with the full formula.
A public link pointed to the staff dashboard, and its closing summary did not say that the page was open.
· Preview run, not ranked: a design test run by hand, with different model settings than Taskade uses.
Finished an app. Asked for: a Dota 2 match tracker from a one- or two-word request.
Two pages, three sample matches, a private coach, a public guide and a weekly automation.
On a phone its match form ran past the edge of the screen.
GPT-6 Luna2 preview runs, newest Oct 28, 2026Preview, not ranked
· Preview run, not ranked: tested with different model settings than Taskade uses.
Finished an app. Asked for: an intake eligibility dashboard.
An eligibility intake with staff review, scoring and a dashboard that saved every assessment field.
The first question card counted down and picked the suggested answers on its own.
· Preview run, not ranked: tested with different model settings than Taskade uses.
Finished an app. Asked for: a property maintenance and work orders app.
A resident form with twenty questions, work-order views, and automations. The fullest app from that day of tests.
The build took a long time, and a later edit ended before it could send a closing message.
GPT-5.6 Luna3 preview runs, newest Oct 23, 2026Preview, not ranked
· Preview run, not ranked: tested with different model settings than Taskade uses.
Finished an app. Asked for: a clinic patient intake form.
A clinic form, a review page and an automation that only adds a comment.
Its review page was open to anyone, and it offered a staff sign-in only as a suggestion.
· Preview run, not ranked: a design test run by hand, with different model settings than Taskade uses.
Finished an app. Asked for: the client sign-up form with scoring.
One long page of 32 question cards.
Its scoring step got the answers with no questions and no formula, and its closing diagram showed a scoring guide that the automation did not have.
· Preview run, not ranked: a design test run by hand, with different model settings than Taskade uses.
Finished an app. Asked for: a Dota 2 match tracker from a one- or two-word request.
It asked two questions, then built a match log, a hero reference and a weekly recap automation.
Its chat button covered the match list on a laptop, and the recap page stayed empty until the first weekly run.
GPT-OSS 120B1 preview run, newest Oct 23, 2026Preview, not ranked
· Preview run, not ranked: tested with different model settings than Taskade uses.
The test ended early. Asked for: the client sign-up form with scoring.
No app was built, so this run says nothing about the model.
How we grade these apps: read the full method.
App kits you can open today
Live apps from the official Taskade account, not builds by GPT.
Business metrics console DASHBOARDBusiness metrics console5 projects · 1 agent · 2 flowsProduct storefront PORTALProduct storefront3 projects · 1 agent · 4 flowsEvent seating planner TOOLEvent seating planner3 projects · 1 agent · 2 flowsFleet tracking dashboard DASHBOARDFleet tracking dashboard3 projects · 1 agent · 2 flowsTeam knowledge base PORTALTeam knowledge base4 projects · 1 agent · 2 flowsStore command center OPSStore command center34 projects · 1 agent · 2 flows
How does GPT compare?
See all 9 comparisonsShow fewer
Other models in TSK-1
FAQ
What is GPT's TSK Score?
GPT scores 88 out of 100 on TSK-1: Interface Strong, Task Leading, Memory Strong, Adapt Leading. Last test Oct 23, 2026.
Which GPT variant builds the best apps?
GPT-6.1 Sol, the newest, saved every answer and photo in all three of its phone-form builds and landed every follow-up change. GPT-5.6 Luna sticks to the brief best and builds complete apps efficiently. GPT-5.6 Terra is the fastest and was the first to pass every check in one run. GPT-5.6 Sol builds wider apps, but it can add sign-in screens nobody asked for.
Is a faster AI model worse for app building?
Not necessarily. GPT-5.6 Terra is the fastest model we test and the first to pass every check in one run. But speed only counts if the app matches the brief. For three tests Terra reproduced none of the original questions word for word; a change of setting brought it back to all 32.
Can I use GPT models in Taskade?
Yes. GPT-6.1 Sol, GPT-6 Luna, and GPT-5.6 Luna are in the Taskade model menu on every paid plan. On Max and Enterprise, you can also pick GPT-5.6 Sol and GPT-5.6 Terra directly.
Where can I compare GPT with other models, or try it myself?
Side-by-side model pages live at /compare. To try the same kind of app request yourself, start from /create. This page stays on what GPT produced in TSK-1 tests.






