DeepSeek · tested in Taskade Genesis
DeepSeek V3.2 and Taskade
DeepSeek V3.2 from DeepSeek is not in Taskade. We tested it in TSK-1 to compare it with the models you can pick, and its test results stay on this page. We last tested it on Oct 8, 2026 in TSK-1, our app-building test.
- Status
- Not in Taskade
- Last test
- Context window
- 128KtokensHow much it can read at once
- Max output
- 64KtokensLongest answer it can write
- Released
- Knowledge cutoff
- Newest events it learned about
- Where it runs
- 6servicesOther services that serve it
TSK-1 scorecard for the DeepSeek family
TSK Score
DeepSeek family, across real apps made in Taskade Genesis
- Interfaceready to share
- Leading
- Taskcompletes your task
- Strong
- Memorykeeps your data
- Strong
- Adapthandles follow-up edits
- Emerging
An older DeepSeek that is not in the Taskade model menu.
MoreLess
With thinking off and on, neither of its family intake forms could save a family, though one uploaded both photos. V4.1 Flash, the DeepSeek Flash model tested here, saved every answer and photo on the same form.
Published scores
Benchmark scores that DeepSeek and test sites published for DeepSeek V3.2. Taskade did not re-run them. Lab-reported marks a score from DeepSeek itself.
LMArena scores
| Benchmark | Score | Source |
|---|---|---|
| Text arena±3 · 48,095 votes · Rank 127 of 419 · LMArena | 1,425 | LMArena |
| WebDev arena±8 · 9,327 votes · Rank 129 of 152 · LMArena | 1,326 | LMArena |
Scores from the LMArena leaderboard dataset (CC BY 4.0). People vote between two answers, and the votes set the score. Taskade picked the Overall category and the default setting of each model.
Versions tested
Open a version to read its findings.
DeepSeek V3.2Tested Oct 20262 findings
An older DeepSeek that is not in the Taskade model menu. With thinking off and on, neither of its family intake forms could save a family, though one uploaded both photos. V4.1 Flash, the DeepSeek Flash model tested here, saved every answer and photo on the same form.
With thinking off, the form uploaded both photos, but the save was rejected, and the teacher page showed its sample families with blank names.
With thinking on, the form sent each submission to an address that does not exist, and the teacher page showed families typed into the page instead of saved ones.
Results by task
Model facts
Published specs from the model maker. A token is about three quarters of a word. Taskade can run the model with lower limits than these.
- Last updated
- Reads
- TextWhat you can give it
- Writes
- TextWhat it gives back
- Reasoning
- YesThinking a problem through first
- Tool calling
- YesUsing tools, such as web search
- File attachments
- NoReading files that you attach
- Structured output
- YesFilling a set format, such as a table
- Open weights
- YesFree for anyone to download and run
Published specs from the model maker, via models.dev (MIT).
Where it runs
Services outside Taskade that serve DeepSeek V3.2, from models.dev. Each link opens in a new tab.
What to pick in Taskade
- Leave TSK-Auto on, and Taskade picks a current model for each request.
- To pick a model yourself, choose one from the model menu.
- To compare, open the models page and read the test results of the models you can pick.
Where DeepSeek ranks
TSK Score out of 100.
Compare DeepSeek
Other DeepSeek models
FAQ
Can I pick DeepSeek V3.2 in Taskade?
No. DeepSeek V3.2 is not in the Taskade model menu, and the key providers in Taskade do not list it by name. TSK-Auto picks a current model for each request. The models page lists the models you can pick now.
Has Taskade tested DeepSeek V3.2?
Yes. We last tested DeepSeek V3.2 on Oct 8, 2026 in the TSK-1 Benchmark, to compare it with the models in Taskade. An older DeepSeek that is not in the Taskade model menu. With thinking off and on, neither of its family intake forms could save a family, though one uploaded both photos. V4.1 Flash, the DeepSeek Flash model tested here, saved every answer and photo on the same form.
Who makes DeepSeek V3.2?
DeepSeek makes DeepSeek V3.2. Taskade runs frontier models from top AI labs, and the DeepSeek results page shows how DeepSeek models build apps.