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Fireworks AI

Fast inference and fine-tuning platform for open and custom AI models

As of 29 August 2026, Fireworks AI has a free plan and paid plans start at $0.07/month. Platform to train, fine-tune, and deploy AI models with serverless, on-demand, and reserved GPU inference options. Softwr lists it under Cloud. Fireworks AI is available on Web, API.

Overview

What Fireworks AI does

Fireworks AI is an AI infrastructure platform for training, fine-tuning, and deploying machine learning models, built by former PyTorch engineers. It hosts 30+ optimized open and closed models, including DeepSeek, Qwen, and Kimi, with context windows exceeding 1 million tokens. Deployment options include serverless pay-per-token inference, on-demand dedicated instances, and reserved capacity, all compatible with OpenAI and Anthropic API formats. Its Nexus product routes coding-assistant requests across models to cut AI coding costs, and customers include Cursor, Vercel, Notion, and Sourcegraph.

What people use it for

  • Deploying open-source LLMs behind an OpenAI-compatible API
  • Fine-tuning models with LoRA or full-parameter training
  • Routing AI coding assistant traffic to cheaper models via Nexus
  • Reserving dedicated GPU capacity for production traffic

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Fireworks AI.

  • Reserved and enterprise-tier pricing is not published and requires sales contact.
  • Model catalog is curated to ~30 models, smaller than DeepInfra's 100+ model library.
  • On-demand GPU rates are scheduled to increase from September 1, adding cost unpredictability for locked-in workloads.

Cross-shopped

What people choose instead of Fireworks AI

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

  • Fireworks AI logo
    Fireworks AI
    vs
    Anyscale logo
    Anyscale

    Anyscale: Both provide training and inference infrastructure for large-scale AI workloads.

Pricing

What Fireworks AI costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Serverless

On request

  • Pay-per-token from $0.07 to $1.74 per million input tokens
  • $1 free credit to start

On-Demand

$7 /mo

  • Dedicated GPU instances from $7/hour for H100/H200

Reserved

On request

  • Guaranteed capacity and priority hardware access
  • Custom pricing

Capabilities

Features

  • Serverless inference

    Pay-per-token access to 30+ optimized open and closed models

  • On-demand and reserved deployments

    Dedicated GPU instances with multi-region support and priority hardware

  • Managed fine-tuning

    LoRA and full-parameter SFT/DPO training priced per token

  • OpenAI/Anthropic API compatibility

    Drop-in replacement for existing model API integrations

  • Nexus router

    Intelligently routes AI coding requests to cut costs by 50-75%

  • Long context models

    Supports context windows beyond 1 million tokens

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

How is Fireworks AI billing calculated?

Serverless inference uses postpaid, pay-per-token billing across Standard, Priority, and Fast tiers, with rates from $0.07 to $1.74 per million tokens depending on model.

Source
Is there a free tier or trial credit?

New accounts receive $1 in free credit to try serverless inference before adding a payment method.

Source
How much do on-demand GPU deployments cost?

Dedicated on-demand instances range from $7-8/hour for H100/H200 GPUs up to $18-20/hour for GB300, billed per GPU second with no start-up surcharge.

Source
How is fine-tuning priced?

Managed training is billed per 1 million training tokens for supervised or preference tuning, while reinforcement tuning is billed per GPU hour.

Source
Does region selection affect pricing?

Yes, region-restricted on-demand deployments carry a 1.5x premium over standard regional pricing.

Source
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Softwr does not host reviews and shows no star rating for Fireworks AI, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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