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Fireworks AI

Fireworks AI

Serverless and on-demand inference platform for open models and fine-tuning.

Fireworks AI

About this tool

Fireworks AI is an inference and fine-tuning platform for developers building with open and frontier open-weight models. It provides serverless model APIs, fine-tuning, embeddings, batch inference, and on-demand GPU deployments so teams can prototype quickly and scale model workloads as products grow. The platform is useful for founders and SaaS builders who want flexible access to high-performance model serving without running infrastructure themselves. Developers can start with serverless inference, tune models on their own data, use cached and batch inference discounts, or move to on-demand deployments for higher throughput and lower cost at scale. Fireworks pricing includes serverless per-token pricing, embedding pricing, fine-tuning pricing by training tokens, and on-demand GPU pricing by GPU hour. This makes it relevant across chat apps, agent workflows, coding tools, RAG systems, and custom model products. For FutureStack, Fireworks AI belongs in Developer Tools because it is serious AI infrastructure for builders who need model APIs, fine-tuning, and deployment flexibility. It is best for technical founders, AI startups, and developers building production model-powered products.

Best for

Open-model inference, fine-tuning, embeddings, on-demand GPUs, and AI APIs.

Key Features

  • Serverless inference with per-token pricing
  • Fine-tune and serve open models
  • On-demand GPU deployments for higher control
  • Supports embeddings, vision, and high-throughput model APIs

Pricing summary

Free credits available. Serverless inference is per-token, fine-tuning is per training token, and on-demand deployments are billed per GPU hour.

Pricing

Popular

Serverless Inference

Start building with per-token model APIs and free credits.

Free
  • $1 in free credits
  • Per-token pricing
  • High rate limits
  • Text and vision models

Fine Tuning

Customize open models with your own training data.

Custom
  • Priced per 1M training tokens
  • SFT and DPO options
  • Serve fine-tuned models
  • Works for open model workflows

On-Demand Deployments

Pay per GPU second for dedicated model serving.

Custom
  • H100 and H200 GPU options
  • No startup time charges
  • Higher throughput and rate limits
  • Best for scale workloads

Other pricing notes

  • Pricing checked on 2026-07-14 from Fireworks AI's official pricing page.
  • Fireworks lists $1 in free credits for getting started.
  • On-demand deployments include GPU-hour pricing such as H100 and H200 rates.
Pricing last checked: July 2026Official pricing page

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