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vLLM

Tool A

vLLM

High-throughput and memory-efficient LLM serving engine powered by PagedAttention.

4.9
freeadvancedFeaturedTrendingVerified
Feature Score12/22
vLLM interface screenshot
FastChat

Tool B

FastChat

LMSYS Open Platform for Training, Serving & Benchmarking LLMs

4.8
freeAdvancedTrendingVerified
Feature Score12/22
FastChat interface screenshot

Choose this if…

vLLM

vLLM
  • 1You need Memory
  • 2You need power-user and advanced features
  • 3Community rates it higher (⭐4.9 vs 4.8)

Choose this if…

FastChat

FastChat
  • 1You need Collaboration

Overview

vLLMvLLMSince 2023-06

vLLM is the industry-standard open-source LLM serving and inference engine designed for ultra-high throughput and minimal memory waste. Developed by UC Berkeley researchers, vLLM introduced PagedAttention—a revolutionary memory management algorithm that manages attention key-value (KV) cache like virtual memory in operating systems, virtually eliminating memory fragmentation. Capable of delivering 2x to 4x higher throughput than Hugging Face TGI and standard PyTorch runtimes, vLLM powers production AI inference infrastructure across enterprise cloud clusters and high-volume API providers worldwide.

vLLM features state-of-the-art inference optimizations including continuous request batching, Chunked Prefill, speculative decoding, prefix caching, and native quantization support (AWQ, GPTQ, FP8, INT4, SqueezeLLM). It provides drop-in OpenAI-compatible REST API endpoints, supports multi-GPU distributed tensor parallelism with Ray/NCCL, and serves all major model architectures including DeepSeek-V3, Llama 3.3, Mistral, Qwen 2.5, and Command R+.

Platforms
linuxdockerself-hostedAPI
Best For
ml-engineersinfrastructure-architectsdevops-teamsbackend-developers
Categories
Code AIAutomation AI
FastChatFastChatSince 2026-08

FastChat is an open-source platform developed by LMSYS (Large Model Systems Organization) for training, serving, and evaluating large language model-based chatbots. As the technology powering the popular Chatbot Arena leaderboard, FastChat provides state-of-the-art serving infrastructure with OpenAI-compatible REST APIs, distributed worker orchestration, and Web UI interfaces. Machine learning engineers and enterprise developers use FastChat to self-host open-weights models (like Llama 3, Mistral, Vicuna, and DeepSeek) with multi-GPU acceleration and vLLM integration.

FastChat provides an end-to-end stack: high-throughput model serving workers, a central controller for load balancing across GPU nodes, and an OpenAI-compatible API server. It also includes comprehensive fine-tuning recipes using Hugging Face Transformers, DeepSpeed, and FlashAttention-2. FastChat is the gold standard foundation for organizations establishing sovereign, on-premise AI chat and API infrastructure.

Platforms
LinuxDockerPythonCUDA
Best For
ML EngineersAI Infrastructure TeamsDevOps SpecialistsAI Researchers
Categories
Code AIResearch AI

Features Comparison

22 total
vLLMvLLM
Feature
FastChatFastChat
Core AI Capabilities
Free Tier
Free Tier
Free Tier
Multimodal
Multimodal
Multimodal
Voice Input
Voice Input
Voice Input
Image Input
Image Input
Image Input
Image Output
Image Output
Image Output
Video Input
Video Input
Video Input
Video Output
Video Output
Video Output
Audio Output
Audio Output
Audio Output
Web Search
Web Search
Web Search
Code Execution
Code Execution
Code Execution
Memory
Memory
Memory
Developer & API
API Access
API Access
API Access
Open Source
Open Source
Open Source
Works Offline
Works Offline
Works Offline
Plugins
Plugins
Plugins
Self-Hostable
Self-Hostable
Self-Hostable
Browser Extension
Browser Extension
Browser Extension
Productivity & Teams
No Signup Required
No Signup Required
No Signup Required
Customizable
Customizable
Customizable
File Upload
File Upload
File Upload
Collaboration
Collaboration
Collaboration
White Label
White Label
White Label

Pricing & Plans

vLLMvLLMfree
Free TierActive

100% Free, open-source inference engine under Apache 2.0 license

Paid Plan

No software fee; deploy on your own GPU instances (RunPod, AWS, Lambda, GCP)

Get Started
FastChatFastChatfree
Free TierActive

100% Free and open-source under Apache 2.0 License.

Paid Plan

No commercial licensing fees.

Get Started

Pros & Cons

vLLMvLLM

Pros

PagedAttention delivers up to 4x higher throughput with near-zero KV cache fragmentation

Drop-in OpenAI-compatible API server enables instant client integration

Extensive quantization support (FP8, AWQ, GPTQ) for running huge models on fewer GPUs

Continuous batching and chunked prefill minimize TTFT and maximize concurrency

Cons

Optimized primarily for Linux GPU environments (Nvidia CUDA / AMD ROCm)

Requires GPU memory planning and tensor parallelism configuration for multi-GPU nodes

FastChatFastChat

Pros

Powers the official LMSYS Chatbot Arena evaluation platform

Provides 100% drop-in OpenAI-compatible API server endpoints

Supports distributed multi-GPU serving with vLLM and SGLang backends

100% open-source with extensive community fine-tuning recipes

Ideal for hosting sovereign on-premise LLMs

Cons

Requires GPU hardware and Linux command line familiarity

Does not provide cloud-managed hosting directly

Use Cases

vLLMvLLM
High concurrency LLM API serving with continuous request batchingCost efficient self hosted inference for DeepSeek, Llama 3, and Mistral modelsLow latency speculative decoding and prefix cached conversational chatbotsQuantized FP8 and AWQ deployment on Nvidia GPUs
FastChatFastChat
Private LLM hostingEnterprise OpenAI API replacementModel fine tuningSide by side model evaluation

The Verdict

vLLM

vLLM

12/22 features · ⭐4.9

vLLM is the industry-standard open-source LLM serving and inference engine designed for ultra-high throughput and minimal memory waste. Developed by UC Berkeley

FastChat

FastChat

12/22 features · ⭐4.8

FastChat is an open-source platform developed by LMSYS (Large Model Systems Organization) for training, serving, and evaluating large language model-based chatb

Both vLLM and FastChat are capable AI tools serving distinct use cases. Both tools are evenly matched on feature coverage — the right pick comes down to your specific workflow and budget.

Frequently Asked Questions

What is the main difference between vLLM and FastChat?

vLLM — "High-throughput and memory-efficient LLM serving engine powered by PagedAttention." — focuses on code-ai, automation-ai, while FastChat — "LMSYS Open Platform for Training, Serving & Benchmarking LLMs" — targets code-ai, research-ai. The key differences lie in their feature sets and pricing models.

Is vLLM free to use?

Yes, vLLM offers a free tier. 100% Free, open-source inference engine under Apache 2.0 license

Is FastChat free to use?

Yes, FastChat offers a free tier. 100% Free and open-source under Apache 2.0 License.

Which is better: vLLM or FastChat?

It depends on your use case. vLLM is rated ⭐4.9 and is best suited for ml-engineers, infrastructure-architects, devops-teams, backend-developers. FastChat is rated ⭐4.8 and is ideal for ML Engineers, AI Infrastructure Teams, DevOps Specialists, AI Researchers. Use this comparison to evaluate features that matter to your workflow.

Does vLLM have an API?

Yes, vLLM provides API access for developers and integrations.

More AI Matchups

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