Together AI vs Baseten
Side-by-side — pricing, strengths, tradeoffs, and fit.
Together AI
Fast, low-cost inference for open-source LLMs, plus fine-tuning.
Baseten
Deploy and serve ML models in production with autoscaling and fast cold starts.
At a glance
Free TierEnterprise
● Established·From Usage-based (per token)
Free TierEnterprise
● Established·From Usage-based (compute)
Overview
One-liner
One-liner
Fast, low-cost inference for open-source LLMs, plus fine-tuning.
One-liner
Deploy and serve ML models in production with autoscaling and fast cold starts.
Maturity
Maturity
EstablishedMaturity
EstablishedOpen source
Open source
✕ NoOpen source
✕ NoPricing
Free tier
Free tier
✓ AvailableFree credits for new users
Free tier
✓ AvailableFree trial credits
Starts at
Starts at
Usage-based (per token)
Starts at
Usage-based (compute)
Model
Model
Usage-based
Model
Usage-based
Enterprise
Enterprise
✓ AvailableEnterprise
✓ AvailableBest for
✓ Best for
Serving open-source LLMs cheaplyFast API over many open models
Fine-tuning and dedicated hostingCustomize and scale
✓ Best for
Serving custom ML models in productionAutoscaling and reliability
Teams needing dedicated inferencePredictable performance
Not ideal for
✕ Not for
—
✕ Not for
—
Strengths
↑ Strengths
Huge open-model catalog
Competitive token pricing
Fine-tuning + dedicated endpoints
↑ Strengths
Production-grade serving
Flexible model packaging (Truss)
Dedicated deployments
Weaknesses
↓ Weaknesses
Cold starts on serverless
↓ Weaknesses
Compute pricing at scale
More infra-oriented