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Fireworks AI vs Modal

Fireworks AI or Modal? 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, Official SDKs, Runs models for you
  • Only Fireworks AI states: Command line
  • Only Modal states: Agent that edits files, Builds agents and workflows, Traces and evaluates

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

Modal

Modal is a serverless cloud platform for running AI inference, training, batch jobs, and isolated code sandboxes.

Plans

Starter

Free

  • $30 / month free compute
  • 3 workspace seats included
  • 100 containers + 10 GPU concurrency
  • Scheduled and Web Functions (limited)
  • Real-time metrics and logs
  • Region selection

Team

  • $250 + compute / month
  • $100 / month free compute
  • Unlimited seats
  • 5000 containers + 50 GPU concurrency
  • Unlimited Scheduled Functions
  • Custom domains
  • Static IP proxy

Enterprise

Price on request

  • Volume-based discounts
  • Unlimited seats
  • Higher GPU concurrency
  • Embedded ML engineering services
  • Environment-level budgets
  • Support via private Slack

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

Capabilities

  • Agent that edits files — “Autonomous agents with the right tools, context, and credentials already in place — running securely in a full, isolated dev environment.” source
  • Choice of models — “Run any model or inference engine on H100s, A100s, A10Gs and more.” source
  • API — “Serve your own LLM API” source
  • Official SDKs — “Modal SDK” source
  • Runs models for you — “Deploy and scale inference for LLMs, audio, image/video generation.” source
  • Builds agents and workflows — “Designed to scale agents.” source
  • Traces and evaluates — “Debug fast by zooming into metrics, logs, and live statuses of specific inference calls.” source

Latest updates

About Modal