Together AI vs vLLM
On the evidence we track, Together AI leads this comparison with a composite score of 77/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Together AI
LeaderTogether AI provides cloud infrastructure for deploying, fine-tuning, and training open-source AI models. It offers flexible deployment options including serverless inference, batch processing, reserved throughput, and dedicated GPU instances with optimized performance and cost efficiency.
vLLM
A production-grade inference engine designed for efficient serving of large language models with support for distributed deployment, GPU acceleration, and multi-model endpoints.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Together AI
LeaderPay-per-token usage starting from $0.0015 per 1M tokens. Free tier available. Dedicated instances and reserved throughput available upon request.
- BuildFree
- Discord community support
- ScaleFrom $0.0015 per 1M tokens
- Serverless inference
- Batch API
- Standard Support (business hours)
- EnterpriseContact sales
- Provisioned throughput
- Dedicated GPU instances
- Silver/Gold Support
- Dedicated support engineer
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Together AI
LeaderNot documented yet.
vLLM
- Hugging Face
- NVIDIA Dynamo
- OpenAI-compatible API
- Anthropic Messages API
- FlashAttention
- FlashInfer
- CUTLASS
- torch.compile
- gRPC
- GPTQ
- AWQ
- GGUF
- ModelOpt
- TorchAO
- OpenAI API
- Kubernetes
- PyTorch
- Ray
- OpenTelemetry
- Prometheus
- FastAPI
- Transformers
- Outlines
- Google Cloud TPU
- +9 more
Together AI or vLLM: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.