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Text Generation Inference vs vLLM

Text Generation Inference or vLLM? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.

In short

  • Both: Choice of models, Self-hosted, API, Runs models for you
  • Only Text Generation Inference states: Command line, Traces and evaluates

Text Generation Inference

Open-source server for deploying and serving language models with streaming, batching, quantization, and multi-GPU inference.

Plans

Free

Free

  • Unlimited public/private repositories
  • Dependabot security and version updates
  • 2,000 CI/CD minutes/month
  • 500MB of Packages storage
  • Issues & Projects
  • Community support

Team

  • $4 USD per user/month
  • Access to GitHub Codespaces
  • Repository rules
  • Multiple reviewers in pull requests
  • Draft pull requests
  • Code owners
  • 3,000 CI/CD minutes/month

Enterprise

  • Starting at $21 USD per user/month
  • Data residency
  • Enterprise Managed Users
  • User provisioning through SCIM
  • Enterprise account to centrally manage multiple organizations
  • Environment protection rules
  • Audit Log API

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Command line — “To see all options to serve your models (in the code or in the cli): text-generation-launcher --help” source
  • Choice of models — “text-generation-launcher --model-id mistralai/Mistral-7B-Instruct-v0.2” source
  • Self-hosted — “You can also opt to install text-generation-inference locally.” source
  • API — “You can consult the OpenAPI documentation of the text-generation-inference REST API using the /docs route.” source
  • Runs models for you — “Text Generation Inference (TGI) is a toolkit for deploying and serving Large Language Models (LLMs).” source
  • Traces and evaluates — “Production ready (distributed tracing with Open Telemetry, Prometheus metrics)” source

Latest updates

  • v3.3.7 (v3.3.7)

    Added support for max_image_fetch_size and announced maintenance mode.

  • v3.3.5 (v3.3.5)

    Added Gemma 3 sliding-window support and XPU LoRA support.

  • v3.3.4 (v3.3.4)

    Added initial Gaudi support for Gemma 3 text and VLM models.

About Text Generation Inference

vLLM

Open-source engine for serving large language models with batching, caching, quantization, and distributed inference.

Plans

Free

Free

  • Unlimited public/private repositories
  • Dependabot security and version updates
  • 2,000 CI/CD minutes/month
  • 500MB of Packages storage
  • Issues & Projects
  • Community support

Team

  • $4 USD per user/month
  • Access to GitHub Codespaces
  • Repository rules
  • Multiple reviewers in pull requests
  • Draft pull requests
  • Code owners
  • 3,000 CI/CD minutes/month

Enterprise

  • Starting at $21 USD per user/month
  • Data residency
  • Enterprise Managed Users
  • User provisioning through SCIM
  • Enterprise Account to centrally manage multiple organizations
  • Environment protection rules
  • Audit Log API

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Choice of models — “vLLM seamlessly supports 200+ model architectures on Hugging Face, including:” source
  • Self-hosted — “A high-throughput and memory-efficient inference and serving engine for LLMs” source
  • API — “OpenAI-compatible API server, plus Anthropic Messages API and gRPC support” source
  • Runs models for you — “A high-throughput and memory-efficient inference and serving engine for LLMs” source

Latest updates

About vLLM