Fireworks AI vs Together AI
Side-by-side — pricing, strengths, tradeoffs, and fit.
Fireworks AI
The fastest inference for generative AI
Together AI
Fast, low-cost inference for open-source LLMs, plus fine-tuning.
At a glance
Free Tier
· Not enough data·From Freemium
Free TierEnterprise
● Established·From Usage-based (per token)
Overview
One-liner
One-liner
The fastest inference for generative AI
One-liner
Fast, low-cost inference for open-source LLMs, plus fine-tuning.
Maturity
Maturity
Not enough dataMaturity
EstablishedOpen source
Open source
✕ NoOpen source
✕ NoPricing
Free tier
Free tier
✓ AvailableFree tier
✓ AvailableFree credits for new users
Starts at
Starts at
Freemium
Starts at
Usage-based (per token)
Model
Model
Usage-based
Model
Usage-based
Enterprise
Enterprise
✕ NoneEnterprise
✓ AvailableBest for
✓ Best for
Teams needing low-latency open-source model inference, fine-tuned model serving, or building compound AI applications
✓ Best for
Serving open-source LLMs cheaplyFast API over many open models
Fine-tuning and dedicated hostingCustomize and scale
Not ideal for
✕ Not for
Teams that only need flagship proprietary models like GPT-4 or Claude
✕ Not for
—
Strengths
↑ Strengths
Fast LLM inference
Fine-tuning
Compound AI
Function calling
↑ Strengths
Huge open-model catalog
Competitive token pricing
Fine-tuning + dedicated endpoints
Weaknesses
↓ Weaknesses
—
↓ Weaknesses
Cold starts on serverless