Qwen2.5-1.5B API: Pricing & Specs
Qwen2.5-1.5B is an open-weight text generation model.
What is Qwen2.5-1.5B?
Qwen2.5-1.5B is an open-weight text generation model, published by Alibaba Qwen with open weights at Qwen/Qwen2.5-1.5B. LLM API does not route this model today, so there is no endpoint or code sample for it here. What this page does give you is the self-hosting picture: published weight sizes, the VRAM each quantisation needs and the commands to serve it yourself. Every figure is read from the public repository and refreshed weekly. At import it had 843,490 downloads on Hugging Face in the previous 30 days, under the apache-2.0 licence.
Can you self-host Qwen2.5-1.5B?
No. We found no public weights for Qwen2.5-1.5B on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.
Not on LLM.API yet
We do not route this model through our API at the moment. Browse the models you can call today — most workloads have a close match already live.
Not available on LLM API yet
We do not route this model through our API at the moment, so there is no endpoint or code snippet for it yet. Browse the models you can call today — most workloads have a close match already live.
Browse available modelsWhen to Use — When NOT to Use
Use it if...
- You want to run Qwen2.5-1.5B on your own hardware and keep every prompt inside your network
- The weights are published openly, so you can pin one checkpoint and keep it reproducible
- You want to fine-tune or quantise the model rather than accept a hosted configuration
- You are comparing self-hosting cost against a managed endpoint before committing
Avoid if...
- LLM API does not route this model today, so there is no endpoint here to call
- You have no GPU capacity: the VRAM figures below are the floor, not a suggestion
- You want zero operations — serving, scaling and upgrades are yours to run
- You need image, audio or video input; this checkpoint is text in, text out
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