songquanpeng/one-api vs vllm-project/vllm
Compare songquanpeng/one-api and vllm-project/vllm using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.
songquanpeng/one-api
One API consolidates API keys and distributes LLM requests across multiple model providers under a standard OpenAI-compatible API format. It targets developers and operations teams who need centralized key management and request routing for upstream LLM services.
- License
- MIT
- Deployment
- Docker / Docker Compose
- Use cases
- Chat Assistants
- Updated
- 2026-07-17T10:02:26Z
vllm-project/vllm
vLLM is a high-throughput, memory-efficient inference and serving engine for large language models. It provides an OpenAI-compatible API server and uses PagedAttention to manage attention key and value memory efficiently.
- License
- Apache-2.0
- Deployment
- Python environment
- Use cases
- Developers, AI engineers, and operations teams needing high-throughput and memory-efficient inference for large language models. · Users requiring distributed inference with tensor, pipeline, data, expert, and context parallelism.
- Updated
- 2026-07-17T04:38:12Z
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