Head-to-Head Comparison

Fireworks AI vs Groq

Which Api Platform is right for you? See our complete breakdown.

Fireworks AI

7/10 Our Pick Visit Fireworks AI
VS

Groq

6/10 Visit Groq
FeatureFireworks AIGroq
MegaOne Score7/106/10
CategoryApi PlatformApi Platform
Pricing ModelPaid OnlyFreemium
Starting Price$0.07/mo$0.05/mo
Free TierYesYes
API AvailableNoNo
Open SourceNoNo
iOS AppNoNo
Android AppNoNo
Chrome ExtensionNoNo
CompanyFireworks AI, Inc.Groq Inc.
Total Funding$1.8B$2.4B

Visual Comparison

Score Reach Value Team Funding Reviews
Fireworks AI Groq

About Fireworks AI

A high-performance inference platform for deploying, fine-tuning, and serving generative AI models with speed and cost-efficiency.

Fireworks AI is a high-performance inference platform that enables developers and enterprises to run, fine-tune, and deploy a vast library of open-source large language models (LLMs) and image models. It offers serverless, on-demand, and fine-tuning options, optimized for low latency, high throughput, and cost-efficiency. The platform provides an OpenAI-compatible API for seamless integration and supports various modalities including text, vision, speech, image, and embeddings.

About Groq

Groq is an AI inference platform leveraging custom Language Processing Units (LPUs) to deliver ultra-fast, low-latency processing for open-source large language models.

Groq specializes in high-performance, low-latency AI inference through its proprietary Language Processing Units (LPUs) and vertically integrated cloud infrastructure. The company has recently pivoted from chip manufacturing to operating as an AI inference cloud, providing developers with access to a range of open-source large language models at unprecedented speeds for real-time applications. GroqCloud offers predictable, high-throughput performance for latency-critical use cases like voice AI and interactive agents.

Fireworks AI takes the edge

With a MegaOne score of 7/10 versus 6/10, Fireworks AI edges ahead of Groq in our analysis. However, Groq may still be the better choice depending on your specific use case and budget.