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Head-to-head · AI Model Hosting

Baseten vs Fireworks AI

  • Updated Oct 2026
  • Both researched from official sources
  • 6 checks side by side
Higher score Baseten #1 in AI Model Hosting 9.4/10 Free plan Free plan✓ 4 of 4 features Visit Baseten
Fireworks AI #4 in AI Model Hosting 9.0/10 Paid ✓ 4 of 4 features Visit Fireworks AI

Baseten leads on 1 check, Fireworks AI on 1, and 4 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreBaseten · 9.4/10
  • Free planonly Baseten

Baseten scores higher on our rubric for ai model hosting: 9.4 against 9.0 out of 10; our editors rank them #1 and #4.

Baseten offers free plan; Fireworks AI doesn't. Fireworks AI leads on deployment regions: 26 regions versus 2 regions.

Baseten is the better fit for teams wanting managed model APIs. Fireworks AI is the better fit for production teams needing global model serving.

  • Baseten fits best

    Teams wanting managed model APIs

  • Fireworks AI fits best

    Production teams needing global model serving

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Side by side

Feature Baseten 9.4/10 Visit ↗ Fireworks AI 9.0/10 Visit ↗
At a glance
Editor score 9.4 9.0
Ranking #1 in AI Model Hosting #4 in AI Model Hosting
Best for Teams wanting managed model APIs Production teams needing global model serving
Pricing model Free plan + paid Paid
Starting price — $0.05/unit usage-based
Free plan ✓ (best) —
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web
Support Email, Live chat, Docs Community, Docs
Compliance SOC 2, GDPR, HIPAA, SSO/SAML SOC 2, HIPAA, GDPR, SSO/SAML
Integrations 17 integrations 8 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Baseten 4/4 · Fireworks AI 4/4
Autoscaling ✓ ✓
GPU accelerators ✓ ✓
Private deployment ✓ ✓
Batch inference ✓ ✓
Specs
Deployment mode Both Both
Supported model formats Truss/Python, custom Docker, vLLM, SGLang, Ollama safetensors, bin
Deployment regions 2 regions 26 regions (best)
Our review
Pros
  • OpenAI-compatible Model APIs and dedicated CPU/GPU deployments
  • Autoscaling, async inference, regional endpoints, and observability
  • Training, fine-tuning, custom containers, and self-hosted options
  • Serverless and dedicated inference support different production workloads
  • Autoscaling, scale-to-zero, and batch inference support operational flexibility
  • 26 regions, compatible APIs, and bring-your-own-cluster deployment options
Cons
  • Basic includes usage-based compute charges beyond its $0 platform price
  • Regional deployment documentation lists United States and European Union
  • Dedicated Slack and Zoom support is available on Pro rather than Basic
  • There is no free plan
  • Pricing is usage-based rather than organized around monthly subscriptions
  • The listed serverless rate applies to one named model
Our verdict

Baseten is an AI inference platform for teams deploying open-source, custom, and fine-tuned models in production. It combines managed Model APIs with dedicated CPU and GPU deployments, configurable autoscaling, asynchronous inference,…

Read the review →

Fireworks AI is a hosted platform for serving, customizing, evaluating, and training open AI models. It supports serverless per-token inference for prototyping and dedicated GPU deployments for production workloads. Developers can deploy…

Read the review →
  1. BasetenAI Model Hosting 9.4Free plan
  2. Fireworks AIAI Model Hosting 9.0Paid

Strengths and trade-offs

  • Baseten — where it wins

    • OpenAI-compatible Model APIs and dedicated CPU/GPU deployments
    • Autoscaling, async inference, regional endpoints, and observability
    • Training, fine-tuning, custom containers, and self-hosted options

    Where it doesn't

    • Basic includes usage-based compute charges beyond its $0 platform price
    • Regional deployment documentation lists United States and European Union
    • Dedicated Slack and Zoom support is available on Pro rather than Basic

  • Fireworks AI — where it wins

    • Serverless and dedicated inference support different production workloads
    • Autoscaling, scale-to-zero, and batch inference support operational flexibility
    • 26 regions, compatible APIs, and bring-your-own-cluster deployment options

    Where it doesn't

    • There is no free plan
    • Pricing is usage-based rather than organized around monthly subscriptions
    • The listed serverless rate applies to one named model

More comparisons

All AI model hosting comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update