ActionDeepSeekUpdated September 2026
What DeepSeek models are available?
Short answer: You can list deepseek models in DeepSeek by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the DeepSeek List DeepSeek Models action to a workflow, map its 0 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.
Sample request
{}
Returns
{"data": [{"id": "model-1","object": "model"}]}
Use these fields in downstream nodes for routing, logging, or error handling.
Triggered by
Apps that pair well as the trigger for List DeepSeek Models.
Any of these apps can fire this action as part of a workflow.
FAQ
Questions about List DeepSeek Models.
What does the List DeepSeek Models action do in DeepSeek?
Returns the current DeepSeek model catalog (deepseek-chat, deepseek-reasoner, and any newer variants). Pin specific model versions for production workflow reproducibility.
What inputs does List DeepSeek Models require?
List DeepSeek Models has no required inputs. Sensible defaults are applied if you leave fields blank.
Can I use dynamic inputs from earlier workflow nodes?
Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.
What happens if DeepSeek returns an error?
The run history shows the failed step with its input and the error message DeepSeek returned, so you can fix the input and run the workflow again. Automatic retries are built into HTTP steps only, where you can also set your own retry count and delay.
Does List DeepSeek Models support batch operations?
Run List DeepSeek Models inside a loop to process each item in an array. TinyCommand does not throttle calls for you, so for large arrays add a Delay step if you need to stay within DeepSeek's rate limits.
More actions
Other DeepSeek actions.
Action
DeepSeek Chat Completion
Runs chat completion against deepseek-chat (V3-based fast general-purpose) or deepseek-reasoner (R1-based with visible chain-of-thought). Reasoner exposes reasoning_content separately from content — useful for debugging complex multi-step reasoning.
ActionGet DeepSeek Credit Balance
Returns the remaining API credit balance. Useful for pre-flight budget control on high-volume LLM workflows where you want to avoid mid-run credit exhaustion.