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Fireworks AI

Agenticness4/36·Reactive Tool

Run and fine-tune open models with usage-based pricing

Fireworks AI is a model hosting and inference platform for teams building with open and proprietary models. It covers serverless inference, fine-tuning, embeddings, speech-to-text, and on-demand GPU deployments.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →

See pricing ↓

Paid
Enterprise
API
B2B
Usage-Based
Cloud Hosted
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Recent activity

What's happened with Fireworks AI lately

  • Score change
    Rubric upgrade v3_0 → v3.1: score 3/32 → 4/363 → 4/36(+1)

    Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.

    See the news that prompted this

News mentions sourced from our news feed; score changes from periodic re-evaluations.

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About

What It Is

Fireworks AI is a cloud platform for developers and teams that need to serve, tune, and deploy AI models through an API. Based on the pricing and docs pages, it focuses on model inference infrastructure rather than a chat-style assistant or autonomous agent.

What to Know

The platform is strongest if you want managed model infrastructure with pay-as-you-go billing and multiple deployment modes. It is not a general-purpose agent that plans tasks or takes actions on your behalf; it is infrastructure for calling models...

Key Features
Serverless inference with per-token pricing
Fine-tuning for open models using your own data
On-demand GPU deployments billed per GPU second
Speech-to-text inference priced per audio second
Image generation support with multiple model families
Use Cases
Serving LLM and vision models through an API for application backends
Fine-tuning open models on proprietary data for domain-specific tasks
Deploying dedicated GPU endpoints for higher throughput workloads
Agenticness: Reactive Tool

Responds to prompts but takes no autonomous action.

High evidence
Last evaluated: May 23, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety
How agenticness works →

Categories

Agent Infrastructure
Pricing
  • Free: $1 in free credits for serverless inference onboarding.
  • Usage-based: Serverless inference is billed per token; STT is billed per audio second; image generation, embeddings, fine-tuning, and on-demand deployments each have published usage-based rates.
  • Enterprise: Contact sales for enterprise deployments, faster speeds, lower costs, and higher rate limits.
Details
fireworks.ai
AddedApril 1, 2026
RefreshedApril 1, 2026
Agenticness
Reactive Tool
Quick Facts
DeploymentCloud-hosted
AutonomyCopilot (human-in-loop)
Model supportMulti-model
Open sourceNo
Team supportEnterprise
Pricing modelUsage-based
Interfaceweb, api, cli
Sources
WebFireworks - Pricing
WebDocumentation
Webfireworks-ai on PyPI
Last updated May 23, 2026
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