Together AI has a great
model catalog.
PolarGrid has lower latency.
Together AI runs on a centralized cloud — great for model breadth, limited on latency. PolarGrid routes requests to edge nodes nearest your users: 205 ms e2e TTFT vs Together's ~450 ms. Plus a full co-located voice pipeline Together doesn't offer.
PolarGrid numbers from live benchmarks · see full methodology →
Feature comparison
Side by side
Use cases
When to use PolarGrid
Low-latency production AI
Edge proximity means requests route to the nearest node. Together AI runs on a centralized datacenter — ~450ms e2e vs our 205ms. That gap compounds in every conversation turn.
Voice AI
Full STT+LLM+TTS pipeline co-located on one GPU node. Together AI only offers LLM — you'd need separate providers for speech, adding cross-region hops.
Cost-sensitive LLM inference
PolarGrid from $0.055/M input tokens vs Together from $0.18/M — over 3× cheaper on input. For high-volume applications, that difference is significant.
Honest take
When Together AI might be better
Together AI has genuine strengths — particularly in model variety and fine-tuning tooling. Here's where their approach wins:
Specific model from their 150+ catalog
Together AI has one of the broadest model catalogs in the industry — 150+ open-source models. If you need a specific niche or research model we don't host, they may have it.
Fine-tuning workflows
Together has a well-developed fine-tuning platform with dedicated tooling and documentation. If fine-tuning is your primary use case (not just hosting custom models), their workflow may suit you better.
Start with $500 free
No credit card required. From $0.055/M tokens. Full voice pipeline included.