# Fireworks Inference

by [Fireworks AI](/organizations/fireworks-ai/)

- **ID:** `e22dd11f-4133-4468-9b46-3de8abba486f`
- **JSON API:** /api/v1/catalog/products/e22dd11f-4133-4468-9b46-3de8abba486f/
- **Slug:** fireworks-inference
- **Product website:** https://fireworks.ai
- **Documentation:** https://docs.fireworks.ai
- **Pricing:** https://docs.fireworks.ai/serverless/pricing
- **Organization website:** https://fireworks.ai
- **Categories:** [AI Inference / Model Serving](/categories/ai-inference-model-serving/), [ML Model Hosting / Deployment](/categories/ml-model-hosting-deployment/)

## Description

Inference and fine-tuning platform for open models, with developer documentation at docs.fireworks.ai.

## AI-native score: Unrated

Available here: [Offers](#offers). Coverage measures research breadth across scored fields.

Research coverage is 35/100. An AI-native grade requires 40/100. The provisional breakdown below shows the AI-native signals recorded so far. The AI-native score measures agent-readiness and is not a substitute for your own security or vendor-risk review. See [methodology](/methodology/) for how coverage and the grade are computed.

| Component | Applies | Raw | Effective weight | Nominal weight | Contribution |
| --- | --- | --- | --- | --- | --- |
| Integration | Yes | 3/10 | 35% | 35% | 10.5 |
| Trust | Yes | 3/6 | 30% | 30% | 15.0 |
| Portability | Yes | 2/4 | 20% | 20% | 10.0 |
| Security | Yes | 2/4 | 15% | 15% | 7.5 |

- **Integration signals:** MCP server (+2); Command-line interface (+1)
- **Trust signals:** Zero data retention (available, +1); No generative AI training (available, +1); Verified trust center (+1)
- **Portability signals:** Standard protocol access (+1); No proprietary-SDK lock-in (+1)
- **Security signals:** Compliance certifications (+1); Access controls — RBAC / ABAC (+1)

## Trust & Data Policy

- **Trust center:** [Vendor trust center](<https://docs.fireworks.ai/guides/security_compliance/data_security>)
- **Zero data retention:** ○ Available
- **No generative AI training:** ○ Available
- **Standard protocol access:** ✓ Yes
- **No proprietary-SDK lock-in:** ✓ Yes
- **Not yet researched:** llms.txt, WebMCP, Headless signup, Multi-factor authentication, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Documented provider swap, Self-hostable, Open source

## Security & Compliance

We confirm that cited vendor pages support these certification claims; we do not independently audit the reports. A shared trust or security page can support several certifications. We do not require separate public report links because reports may require login, vendor approval, or a nondisclosure agreement. Ask the vendor for reports and applicable coverage before a procurement decision. These listings expose no per-claim check date; the entry's updated date does not date the supporting evidence.

- **Compliance certifications:** ISO/IEC 27001, System and Organization Controls 2
- **Access controls:** Role-Based Access Control

## Capabilities

No capabilities listed.

## Jobs To Be Done

- **Deploy a model for inference** — Deploy a machine learning model as a hosted endpoint for inference requests.

## Offers

**Pricing page:** https://docs.fireworks.ai/serverless/pricing

### GPT OSS 120B Standard

- input: 0.15 USD per 1,000,000 input tokens; payment unknown; commitment unknown
- cached-input: 0.015 USD per 1,000,000 cached input tokens; payment unknown; commitment unknown
- output: 0.60 USD per 1,000,000 output tokens; payment unknown; commitment unknown

### Qwen3 8B embeddings

- input: 0.1 USD per 1,000,000 input_tokens; payment unknown; commitment unknown


## Reviews

No approved reviews yet.

## Benchmarks

No benchmarks listed.

## Documentation

The primary documentation link is at the top of this page. No other documentation links listed.

## API Specs

Not yet researched.

## MCP Servers

- [Fireworks Docs MCP](https://docs.fireworks.ai/mcp)

## A2A Servers

Not yet researched.

## Native Connectors

Not yet researched.

## Command-Line Interfaces

- [firectl](https://docs.fireworks.ai/tools-sdks/firectl/firectl) (`firectl`)

## Developer Kits

Not yet researched.

## Agent Skills

Not yet researched.

## Related products

- [Baseten Inference](/organizations/baseten/products/baseten-inference/) by Baseten — Unrated. Same job: Deploy a model for inference (not assessed).
- [Replicate](/organizations/replicate/products/replicate-api/) by Replicate — Unrated. Same job: Deploy a model for inference (not assessed).
- [Nebius AI Cloud](/organizations/nebius/products/nebius-ai-cloud/) by Nebius — Tier C. Same job: Deploy a model for inference (not assessed).
- [Runpod Cloud](/organizations/runpod/products/runpod-cloud/) by Runpod — Tier C. Same job: Deploy a model for inference (not assessed).
- [Modal](/organizations/modal/products/modal/) by Modal — Unrated. Same job: Deploy a model for inference (not assessed).
- [Cerebras Inference](/organizations/cerebras/products/cerebras-inference/) by Cerebras Systems — Unrated. Shared category: AI Inference / Model Serving.


## Add this badge to your site

Own this product? The Open Agent Guide badge links your site back to this directory listing. It makes no grade claim while this product is unrated, and updates on its own once enough is verified to assign a grade.

Badge image: https://www.openagentguide.com/organizations/fireworks-ai/products/fireworks-inference/badge.svg (seal), https://www.openagentguide.com/organizations/fireworks-ai/products/fireworks-inference/badge.svg?style=flat (flat). For the copy-paste HTML and Markdown embed code, open the badge panel on [this product's page](https://www.openagentguide.com/organizations/fireworks-ai/products/fireworks-inference/#badge-embed-heading). See [how scoring works](/methodology/).

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Content licensed under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).

