LiteLLMFreemium
An open-source LLM gateway that gives you one consistent API and proxy across 100+ model providers, with key management and spend tracking.
AI Infrastructure comparison
LiteLLM vs Together AI
Pricing, pros, cons, and ideal use cases — side by side.
Together AIPaid
A cloud platform for fast, cost-efficient inference and fine-tuning of open-weight models at production scale.
At a glance
| LiteLLM | Together AI | |
|---|---|---|
| Pricing | FreemiumOpen-source and free to self-host. A paid enterprise edition adds SSO, audit logs, and support. | PaidUsage-based per-token pricing. Dedicated endpoints and fine-tuning are priced separately. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Teams using multiple model providersPlatform teams centralizing LLM access and spendEnterprises wanting provider portability | Teams running open-weight models in productionCost-sensitive, high-volume inference workloadsEnterprises fine-tuning private model variants |
Pros & cons
LiteLLM
Pros
- One consistent API across 100+ providers
- Proxy adds key management, budgets, and spend logging
- Avoids provider lock-in
- Lightweight to adopt
Cons
- Self-hosting the proxy is your operational burden
- A gateway is one more hop to monitor
- Advanced governance features are in the paid edition
Together AI
Pros
- Fast, cost-efficient open-model inference
- Wide and current model selection
- Fine-tuning and dedicated endpoints available
- Often cheaper than closed APIs at scale
Cons
- Open models shift evaluation and safety onto you
- Quality varies by model and task
- Not a managed governance platform on its own
Which should you choose?
LiteLLM is the lighter-weight option (Freemium), while Together AI sits higher on the pricing ladder (Paid). LiteLLM is built around teams using multiple model providers; Together AI leans more toward teams running open-weight models in production. Shortlist the one whose strengths line up with your biggest constraint.