Together AIvsOllama

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Together AI

LLM APIs & Inference

Fast inference and fine-tuning for open-source models

Ollama

Local AI Infrastructure

Featured

Run local and cloud LLMs, now including Codex App and CLI workflows

FeatureTogether AIOllama
CategoryLLM APIs & InferenceLocal AI Infrastructure
PricingPay-per-useFree (open-source)
GitHub Stars
More stars
120k
PlatformsWebmacOS, Linux, Windows
Key Features
  • Fast inference
  • Fine-tuning
  • Open models
  • Serverless
  • Dedicated
  • One-command setup
  • API server
  • GPU acceleration
  • Model library
  • Modelfile
  • OpenAI-compatible API
  • Codex App support
  • Codex CLI launch/profile support
Pros
  • + Competitive pricing
  • + Fast inference speeds
  • + Fine-tuning support
  • + Latest open models
  • + Serverless + dedicated options
  • + Dead simple to use with one command
  • + Runs local models offline when hardware fits
  • + OpenAI-compatible API
  • + Huge model library
  • + Official Codex App and Codex CLI integration paths
Cons
  • Smaller model selection than Replicate
  • Less community features
  • Documentation could be better
  • No free tier for inference
  • Requires enough local hardware for larger models
  • Local coding-agent quality depends heavily on the selected model
  • Cloud models may require Ollama Cloud subscription or usage costs
  • No built-in general chat UI without a companion app
Tags
inferencecloudfastopen-models
open-sourcelocalllminferenceprivacygpucodexcoding-agents

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