How much GPU memory does s1-mini need?

About 4.9 GB for conversations of up to 8,192 tokens: 1.5 GB of weights, the cache for one full-length conversation and the runtime's own memory.

What is the cheapest GPU to run s1-mini?

Right now one RTX 3060 at $0.09 an hour; RTX PRO 6000 at $1.13 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.

Can s1-mini run on an RTX 4090?

Yes: it needs about 4.9 GB and an RTX 4090 has 24 GB.

How do I deploy s1-mini as an API?

Pick a machine on its GridPup page and press Deploy: GridPup rents the GPU, downloads the model from Hugging Face and serves it at an https address with keys and OpenAI's chat API, billed by the hour.

Models / s1-mini / s1-mini ~752M

superwhisper/s1-mini

Text generation · served with vLLM · ↓ 2.5K downloads a month · View on Hugging Face

superwhisper/s1-mini needs about 4.9 GB of GPU memory for conversations of up to 8,192 tokens. It runs on one RTX 3060 from $0.09/h right now; best value: RTX PRO 6000 at $1.13/h.

Weights: 1.5 GB
GPU memory needed: about 4.9 GB
Conversation length: 8,192 tokens
Model allows: 40,960 tokens
Memory · disk: 16 GB · 42 GB
Architecture: Qwen3ForCausalLM
Licence: other

Versions of s1-mini ~752M

The same model packaged differently: a quantized version needs less GPU memory and runs on a cheaper machine.

Version	Runtime	Weights	GPU memory	Cheapest machine now
Originalsuperwhisper/s1-mini	vLLM	1.5 GB	4.9 GB	$0.09/h RTX 3060
onnx (elbruno)elbruno/s1-mini-onnx	ONNX Runtime GenAI	410 MB	2.9 GB	$0.07/h Quadro P4000

Hardware and deploy

Endpoint name

$1.13/h from your balance while it runs, billed by the hour; stop it from its page. GridPup rents the machine, which downloads the model from Hugging Face (usually ready in 10 to 15 minutes), and gives you an https address, keys and a Playground.

Questions

How much GPU memory does s1-mini need?: About 4.9 GB for conversations of up to 8,192 tokens: 1.5 GB of weights, the cache for one full-length conversation and the runtime's own memory.
What is the cheapest GPU to run s1-mini?: Right now one RTX 3060 at $0.09 an hour; RTX PRO 6000 at $1.13 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can s1-mini run on an RTX 4090?: Yes: it needs about 4.9 GB and an RTX 4090 has 24 GB.
How do I deploy s1-mini as an API?: Pick a machine on its GridPup page and press Deploy: GridPup rents the GPU, downloads the model from Hugging Face and serves it at an https address with keys and OpenAI's chat API, billed by the hour.

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superwhisper/s1-mini

Text generation · served with vLLM · ↓ 2.5K downloads a month · View on Hugging Face

superwhisper/s1-mini needs about 4.9 GB of GPU memory for conversations of up to 8,192 tokens. It runs on one RTX 3060 from $0.09/h right now; best value: RTX PRO 6000 at $1.13/h.

Weights

1.5 GB

GPU memory needed

about 4.9 GB

Conversation length

8,192 tokens

Model allows

40,960 tokens

Memory · disk

16 GB · 42 GB

Architecture

Qwen3ForCausalLM

Licence

other

Versions of s1-mini ~752M

The same model packaged differently: a quantized version needs less GPU memory and runs on a cheaper machine.

Version	Runtime	Weights	GPU memory	Cheapest machine now
Originalsuperwhisper/s1-mini	vLLM	1.5 GB	4.9 GB	$0.09/h RTX 3060
onnx (elbruno)elbruno/s1-mini-onnx	ONNX Runtime GenAI	410 MB	2.9 GB	$0.07/h Quadro P4000

Hardware and deploy

Endpoint name

Questions

How much GPU memory does s1-mini need?: About 4.9 GB for conversations of up to 8,192 tokens: 1.5 GB of weights, the cache for one full-length conversation and the runtime's own memory.
What is the cheapest GPU to run s1-mini?: Right now one RTX 3060 at $0.09 an hour; RTX PRO 6000 at $1.13 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can s1-mini run on an RTX 4090?: Yes: it needs about 4.9 GB and an RTX 4090 has 24 GB.
How do I deploy s1-mini as an API?: Pick a machine on its GridPup page and press Deploy: GridPup rents the GPU, downloads the model from Hugging Face and serves it at an https address with keys and OpenAI's chat API, billed by the hour.