Groq vs Fireworks AI

Side-by-side — pricing, strengths, tradeoffs, and fit.

Groq

Ultra-fast LLM inference powered by custom LPU hardware.

Fireworks AI

The fastest inference for generative AI

At a glance

Free TierEnterprise
· Not enough data·From ~$0.05/1M tokens
Free Tier
· Not enough data·From Freemium

Overview

One-liner

Ultra-fast LLM inference powered by custom LPU hardware.

One-liner

The fastest inference for generative AI

Maturity

Not enough data

Maturity

Not enough data

Open source

✕ No

Open source

✕ No

Pricing

Free tier

✓ Available

Rate-limited dev access — 30 req/min, 14,400 req/day, 6,000 tokens/min

Free tier

✓ Available

Starts at

~$0.05/1M tokens

Starts at

Freemium

Model

Usage-based

Model

Usage-based

Enterprise

✓ Available

Enterprise

✕ None

Best for

✓ Best for

Teams building real-time applications requiring fast inference speeds.
Projects where low latency is critical for user experience.
Developers needing access to large models without managing infrastructure.

✓ Best for

Teams needing low-latency open-source model inference, fine-tuned model serving, or building compound AI applications

Not ideal for

✕ Not for

Budget-constrained projects that cannot afford usage-based pricing.
Applications with very high request volumes, potentially leading to high costs.

✕ Not for

Teams that only need flagship proprietary models like GPT-4 or Claude

Strengths

↑ Strengths

Fastest inference speed on the market
OpenAI-compatible API
Generous free tier for development
Competitive per-token pricing

↑ Strengths

Fast LLM inference
Fine-tuning
Compound AI
Function calling

Weaknesses

↓ Weaknesses

Limited model selection
No fine-tuning or private model hosting
Rate limits on free tier
Context window smaller than frontier models

↓ Weaknesses

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