Fireworks AI: pricing, free plan, features & alternatives (2026)

What is Fireworks AI?

Fireworks AI is a platform for running and customizing AI models. It serves the latest open-source models through a hosted inference engine, and it also offers a training layer where teams can fine-tune a model on their own data or write their own training loop on Fireworks GPUs. Trained checkpoints can be deployed to production in seconds.

The product is organized around three ways of consuming compute. Serverless inference bills per token with Standard, Priority, and Fast serving paths, and exposes OpenAI- and Anthropic-compatible APIs. On-Demand deployments are dedicated GPU instances billed per GPU second across multiple regions. Reserved capacity guarantees throughput and gives access to the newest hardware. The company also offers Nexus, a drop-in replacement for closed-model APIs that routes requests to the best open or closed model for each task.

Key features

Serverless per-token inference with OpenAI and Anthropic compatible APIs
Dedicated On-Demand GPU deployments across multiple regions
Reserved capacity with guaranteed throughput and quotas
Managed fine-tuning with LoRA and full-parameter SFT and DPO
Serverless Training API for LoRA training on shared trainer pools
Model library with single-line access to popular open models

Who is it for

AI engineers and developers building production applications
Teams fine-tuning open models on proprietary data
Companies running high-volume inference or AI coding tools
Enterprises needing dedicated capacity and regional deployment

How to get started with Fireworks AI

Create an account and add a payment method in the Fireworks dashboard
Top up your account to start using Serverless Inference
Pick a model from the library and call it via OpenAI-compatible API

Choose it if

You are building an AI app or agent and want to use open models
You want to fine-tune a model on your own data and deploy it quickly
You need an OpenAI- or Anthropic-compatible API to easily migrate existing code

Skip it if

You are looking for a free plan, but the text mentions only a trial, not a free tier
You need a ready-made chat interface in Polish, as none is offered

Pros and cons

Pros

Hosts a wide library of open models with one line of code
Serves fine-tuned models at the same price as base models
Claims latency and throughput gains, such as a reported drop from about 2 seconds to 350 milliseconds in one customer case

Cons

Region-restricted deployments cost a 1.5x premium
Some training prices and models are in private preview or marked coming soon

Fireworks AI pricing

Plan	Price	Includes
Managed Training (SFT/DPO)	0.50 USD	Per 1M training tokens for models up to 16B parameters with LoRA SFT; higher tiers up to 10 USD (LoRA SFT) and 40 USD (full-parameter DPO) per 1M tokens for models over 300B
Serverless Training API	1.74 USD	Prefill per 1M tokens for DeepSeek V4 Flash example; other models list sample and train prices, e.g. Kimi K3 train 32.55 USD per 1M; checkpoint storage included during private preview
On-Demand H100 80 GB	8.00 USD / one-time	Per hour (0.134 USD per minute); other GPUs from 8.00 USD per hour (H200) up to 20.00 USD per hour (GB300); billed per GPU second with no extra startup charges; region-restricted deployments at 1.5x

Prices copied from Fireworks AI pricing, checked October 12, 2026. Currency as shown by the vendor; taxes may apply.

Fireworks AI pricing details →

Is Fireworks AI free?

No - according to the vendor, it is paid only.

Fireworks AI alternatives

Tool	Price from	Free plan	Category
Cline	not listed	yes	APIs & models
OpenAI Platform	0,10 USD	?	APIs & models
Amazon Bedrock	od 0,20 USD	?	APIs & models
Claude Platform (Anthropic API)	2 USD input / 10 USD output	no	APIs & models
Google AI Studio	0,75 USD	?	APIs & models
Ollama	20 USD/mo	yes	APIs & models