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Fireworks AI vs Hugging Face

Fireworks AI or Hugging Face? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.

In inglese

In short

  • Both: Choice of models, API, Official SDKs, Runs models for you
  • Only Fireworks AI states: Command line
  • Only Hugging Face states: Builds agents and workflows

Fireworks AI

Fireworks AI hosts, fine-tunes, and serves open models through serverless and dedicated APIs.

Plans

Serverless Inference — Embeddings (up to 150M parameters)

  • $0.008 / 1M input tokens
  • Per-token pricing
  • Zero setup
  • No cold starts
  • High rate limits
  • Postpaid billing

Serverless Inference — Embeddings (150M–350M parameters)

  • $0.016 / 1M input tokens
  • Per-token pricing
  • Zero setup
  • No cold starts
  • High rate limits
  • Postpaid billing

Serverless Inference — Qwen3 8B

  • $0.1 / 1M input tokens
  • Per-token pricing
  • Zero setup
  • No cold starts
  • High rate limits
  • Postpaid billing

Managed Training — Models up to 16B parameters

  • $0.50 / 1M training tokens
  • $1.00 / 1M training tokens
  • $2.00 / 1M training tokens
  • Supervised and preference fine-tuning
  • Serve fine-tuned models for the same price as base models

Managed Training — Models 16.1B–80B

  • $3.00 / 1M training tokens
  • $6.00 / 1M training tokens
  • $12.00 / 1M training tokens
  • Supervised and preference fine-tuning
  • Serve fine-tuned models for the same price as base models

Managed Training — Models 80B–300B

  • $6.00 / 1M training tokens
  • $12.00 / 1M training tokens
  • $24.00 / 1M training tokens
  • Supervised and preference fine-tuning
  • Serve fine-tuned models for the same price as base models

Managed Training — Models over 300B

  • $10.00 / 1M training tokens
  • $20.00 / 1M training tokens
  • $40.00 / 1M training tokens
  • Supervised and preference fine-tuning
  • Serve fine-tuned models for the same price as base models

Serverless Training API — GLM 5.3

  • $4.86 / 1M Prefill
  • $0.972 / 1M Cached Prefill
  • $12.15 / 1M Sample
  • $14.58 / 1M Train
  • Shared, always-on trainer pool for LoRA training
  • No provisioning or idle cost
  • Pay only for tokens prefetched, sampled, and trained

Serverless Training API — Qwen 3.8 27B

  • $1.86 / 1M Prefill
  • $0.372 / 1M Cached Prefill
  • $5.595 / 1M Sample
  • $4.103 / 1M Train
  • Shared, always-on trainer pool for LoRA training
  • No provisioning or idle cost
  • Pay only for tokens prefetched, sampled, and trained

Serverless Training API — Kimi K3

  • $10.87 / 1M Prefill
  • $2.17 / 1M Cached Prefill
  • $27.11 / 1M Sample
  • $32.55 / 1M Train
  • Shared, always-on trainer pool for LoRA training
  • No provisioning or idle cost
  • Pay only for tokens prefetched, sampled, and trained

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

Capabilities

  • Command line — “Developers Model Library Docs CLI API Changelog” source
  • Choice of models — “Route to the best open or closed model for every task, and cut your AI coding spend 50 to 75%.” source
  • API — “Serverless. Pay per token with Priority and Fast options to meet your requirements. OpenAI and Anthropic compatible.” source
  • Official SDKs — “The Fireworks Training SDK lets us focus on our research instead of wrestling with infrastructure.” source
  • Runs models for you — “Serve the latest open models, or your own trained versions.” source

Security

  • SOC 2 Type II — “SOC 2 Type 2” source
  • SOC 2 — “SOC 2 Type 2” source
  • ISO 27001 — “ISO 27001 Certificate” source
  • ISO 42001 — “ISO 42001 Certificate” source
  • GDPR — “Compliance SOC 2 Type 2 HIPAA GDPR” source
  • HIPAA — “SOC 2 Type 2 HIPAA” source

Latest updates

About Fireworks AI

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