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Baseten vs Fireworks AI

Baseten or Fireworks 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 inglese

In short

  • Both: Choice of models, API, Runs models for you
  • Only Baseten states: Self-hosted
  • Only Fireworks AI states: Command line, Official SDKs

Baseten

Baseten provides managed infrastructure to deploy, serve, train, and distribute open-source, custom, and fine-tuned AI models.

Plans

Basic

Free

  • Dedicated deployments
  • Model APIs
  • Training
  • Fast cold starts
  • SOC 2 Type II and HIPAA compliant
  • Email and in-app chat support

Dedicated Deployments — T4

  • $0.01052 per minute
  • 16 GiB VM

Dedicated Deployments — L4

  • $0.01414 per minute
  • 24 GiB VRAM

Dedicated Deployments — A10G

  • $0.02012 per minute
  • 24 GiB VM

Dedicated Deployments — A100

  • $0.06667 per minute
  • 80 GiB VRAM

Dedicated Deployments — H100 MIG

  • $0.0625 per minute
  • 40 GiB VRAM

Dedicated Deployments — H100

  • $0.10833 per minute
  • 80 GiB VRAM

Dedicated Deployments — B200

  • $0.16633 per minute
  • 180 GiB VRAM

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

Capabilities

  • Choice of models — “You can deploy open source and custom models on Baseten.” source
  • Self-hosted — “Yes, you can self-host Baseten in order to manage security and use your own cloud commitments.” source
  • API — “Model APIs” source
  • Runs models for you — “Instant access to pre-optimized models running on the Baseten Inference Stack.” source

Security

  • SOC 2 Type II — “Baseten Labs, Inc. SOC 2 Type 2 Report 5.31.26.pdf” source
  • SOC 2 — “Baseten Labs, Inc. SOC 2 Type 2 Report 5.31.26.pdf” source
  • ISO 27001 — “Baseten Labs, Inc. ISO 27001 Certificate.pdf” source
  • GDPR — “SOC 2 ISO 27001:2022 HIPAA CCPA GDPR PCI DSS - SAQ D” source
  • HIPAA — “Baseten Labs, Inc. HIPAA Report 5.31.26.pdf” source

Latest updates

About Baseten

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