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Hugging Face vs Together AI

Hugging Face or Together AI? 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, API, Runs models for you, Builds agents and workflows
  • Only Hugging Face states: Official SDKs
  • Only Together AI states: Runs commands, Traces and evaluates

Hugging Face

Hugging Face hosts AI models, datasets, apps, libraries, and tools for building, sharing, and deploying machine-learning systems.

Plans

PRO Account

  • $9 /month
  • 10× private storage capacity
  • 2× public storage capacity
  • 20× included inference credits
  • 8× ZeroGPU quota and highest queue priority
  • Host ZeroGPU, Gradio & Docker Spaces
  • Spaces Dev Mode

Team

  • $20 /month per user
  • SSO support (SAML & OIDC)
  • Data location control with Storage Regions
  • Detailed action reviews with Audit Logs
  • Granular access control via Resource Groups
  • Repository usage Analytics
  • Advanced auth policies and repository visibility controls

Enterprise

  • $50 /month per user
  • + All benefits from the Team plan
  • Highest storage, bandwidth, and API rate limits
  • Automated user management with SCIM provisioning
  • Advanced security and access controls
  • Managed billing with annual commitments
  • Legal and Compliance processes

Prices checked 2026-09-24 on the maker’s page.

Capabilities

  • Choice of models — “Browse 2M+ models” source
  • API — “Access 45,000+ models from leading AI providers through a single, unified API with no service fees.” source
  • Official SDKs — “Python client to interact with the Hugging Face Hub” source
  • Runs models for you — “Deploy any ML model on dedicated and autoscaling infrastructure, right from the HF Hub.” source
  • Builds agents and workflows — “Smol library to build great agents in Python” source

Latest updates

About Hugging Face

Together AI

Together AI provides APIs and infrastructure for running, fine-tuning, and training open AI models.

Plans

Serverless Inference

  • MiniMax M3 — $0.30 per 1M tokens (Input)
  • MiniMax M3 — $1.20 per 1M tokens (output)
  • Kimi K3 — $3.00 per 1M tokens (Input)
  • Kimi K3 — $15.00 per 1M tokens (output)
  • GLM-5.3-Flash — $0.15 per 1M tokens (Input)
  • GLM-5.3-Flash — $0.50 per 1M tokens (output)
  • GPT Image 2 — $0.053 per image
  • Wan 2.6 Image — $0.03 per image
  • ByteDance Seedance 2.5 — $0.115 per video
  • ByteDance Seedance 2.0 — $0.16 per video
  • NVIDIA Nemotron 3 ASR Streaming 0.6B — $0.0015 per audio minute
  • Whisper Large v3 — $0.0015 per audio minute
  • High-performance inference as APIs
  • Prices vary by model and task; the page also lists batch API prices.

Dedicated Inference — NVIDIA HGX H100

  • $5.49 per gpu per hour
  • $3.99 per gpu per hour
  • Single-tenant GPU instances
  • Guaranteed performance (no sharing)
  • Support for custom models
  • Autoscaling & traffic spike handling

Dedicated Inference — NVIDIA HGX B200

  • $8.99 per gpu per hour
  • Single-tenant GPU instances
  • Guaranteed performance (no sharing)
  • Support for custom models
  • Autoscaling & traffic spike handling

Dedicated Inference — other hardware

Price on request

  • NVIDIA HGX H200, NVIDIA HGX B300, NVIDIA GB200 NVL72, and NVIDIA GB300 NVL72
  • Contact sales

GPU Clusters — On-demand

  • NVIDIA HGX B200 $8.19 per GPU per hour
  • NVIDIA HGX B300 $9.99 per GPU per hour
  • NVIDIA HGX H100 $3.99 per GPU per hour
  • NVIDIA HGX H200 $5.99 per GPU per hour
  • Pay-as-you-go GPU capacity on an hourly basis

GPU Clusters — Preemptible and reserved

  • NVIDIA HGX H100 Preemptible Compute $1.99 per GPU per hour
  • NVIDIA HGX H100 ON-Demand $3.99 per GPU per hour
  • NVIDIA HGX H100 7-30 days $3.69 per GPU per hour
  • NVIDIA HGX H100 31-90 days $3.45 per GPU per hour
  • NVIDIA HGX H100 91-180 days $3.19 per GPU per hour
  • On-demand hourly rates and reserved capacity
  • Reservation terms shown as 7-30, 31-90, and 91-180 days, and 181+ days

Code Sandbox

  • Per vCPU $0.0446 per hour
  • Per GiB RAM $0.0149 per hour
  • Customize a deployment of VM sandboxes for large development environments

Code Interpreter

  • Session (60 minutes) $0.03 per session
  • Execute LLM-generated code securely using the API

Managed Storage

  • Shared Filesystem $0.16 GiB/month
  • High-bandwidth, parallel filesystem colocated with your compute

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

Capabilities

  • Runs commands — “await client.commands.run("npm install && npm run build")” source
  • Choice of models — “Scale to 30 billion tokens per model with any serverless model or private deployment.” source
  • API — “High-performance inference as APIs” source
  • Runs models for you — “The fastest way to run open-source models on demand.” source
  • Builds agents and workflows — “Build voice agents for production” source
  • Traces and evaluates — “Measure model quality” source

Latest updates

About Together AI