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Agents tracked: 378 Downloads (7d): 242M down 5.8% GitHub stars: 8.3M VS Code installs: 151M Releases (7d): 389 Agent status: 1 with issues Updated Oct 10, 2026

vLLM by vLLM project

Open-source engine to self-host LLMs behind an OpenAI-compatible inference server.

Model hosting and inference Open source

Price
Free (open source)
you pay only for the compute it runs on
Free tier
Open source
SDK downloads
—
PyPI vllm
Status
—
no public status page

Pricing

Free tier—
Cheapest paid plan—
Usage price—
Good to knowApache-2.0, self-hosted; no paid hosted offering from the project.

Open source: free to run on your own hardware; you pay only for the compute. Checked

Use it from an agent

MCP serverNone found
PyPIpip install vllm
APIFreePrice SDK downloads / wkGitHub starsMCP
Fireworks
Serverless inference API with per-token pricing for running open and proprietary models.
— per token for inference; per GPU second for on-demand deployments — —
Replicate
Run and deploy machine learning models with pay-per-use pricing for inference.
— Varies by model and hardware; examples: $0.04/output image,... — —
AI21
API access to foundation models for text generation and chat tasks.
$10 credits for 7 days Free plan
then $0.2 per 1M input tokens, $0.4 per 1M output tokens...
— —
Baseten
Deploy and run custom, fine-tuned, and open-source AI models with GPU compute.
Free credits for new accounts Free plan
then Price per 1M tokens for Model APIs; price per minute for...
— —
DeepInfra
API for running various AI models including text generation, embeddings, image generation, and speech recognition.
— Per token pricing varies by model; e.g., $0.06 per 1M input tokens... — —
Together AI
API for inference on open-source and third-party language models, vision, audio, video, and embeddings.
— varies by model and task; e.g., $0.30 per 1M input tokens (MiniMax... — —
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