Together AIvsvLLM

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Together AI

LLM APIs & Inference

Fast inference and fine-tuning for open-source models

vLLM

Local AI Infrastructure

High-throughput LLM serving engine

FeatureTogether AIvLLM
CategoryLLM APIs & InferenceLocal AI Infrastructure
PricingPay-per-useFree (open-source)
GitHub Stars
More stars
45k
PlatformsWebLinux
Key Features
  • Fast inference
  • Fine-tuning
  • Open models
  • Serverless
  • Dedicated
  • PagedAttention
  • Continuous batching
  • Tensor parallelism
  • OpenAI-compatible API
  • Multi-GPU
  • Quantization
Pros
  • + Competitive pricing
  • + Fast inference speeds
  • + Fine-tuning support
  • + Latest open models
  • + Serverless + dedicated options
  • + Extremely fast inference
  • + Efficient GPU memory usage
  • + OpenAI-compatible API
  • + Continuous batching
  • + Production-ready
Cons
  • Smaller model selection than Replicate
  • Less community features
  • Documentation could be better
  • No free tier for inference
  • Requires NVIDIA GPU
  • Complex setup for beginners
  • Limited model format support
  • Heavy resource requirements
Tags
inferencecloudfastopen-models
open-sourceinferenceservinggpuhigh-throughput

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