01 OpenRouter
Unified API to 400+ LLMs from 70+ providers through one OpenAI-compatible endpoint, with automatic failover and pass-through token pricing
AI Coding from $0 free tier: yes Verified JUN 23, 2026
LiteLLM alternatives
5 alternatives compared · prices last verified Jul 15, 2026 · how we verify
OpenRouter is the top LiteLLM alternative in our directory: it covers the same category (AI Agents & Automation), starts at $0, and has a free tier. All 5 alternatives below are compared on pricing verified against the official pricing pages, on the dates shown.
Ranked by category overlap with LiteLLM, free-tier availability, then lowest verified starting price — computed from our verified data, never sponsorships.
LiteLLM alternatives compared
| Alternative | Category | Starting price | Free tier | Price verified |
|---|---|---|---|---|
| OpenRouter | AI Coding | $0 | yes | Jun 23, 2026 |
| Together AI | AI Coding | $0 | yes | Jun 24, 2026 |
| Langfuse | AI Agents & Automation | Free | yes | Jul 15, 2026 |
| Ollama | AI Productivity | $0 | yes | Jun 23, 2026 |
| LangChain | AI Agents & Automation | $39/seat/mo | yes | Jul 12, 2026 |
Each alternative, in brief
02 Together AI
AI cloud for running, fine-tuning, and deploying open-source models via serverless inference and on-demand GPU clusters
AI Coding from $0 free tier: yes Verified JUN 24, 2026
03 Langfuse
Open-source LLM engineering platform for tracing, observability, evals, and prompt management — self-host free or run on Langfuse Cloud
AI Agents & Automation from Free free tier: yes Verified JUL 15, 2026
04 Ollama
Free, open-source tool to run open-weight LLMs locally via CLI, desktop, or API — with an optional paid cloud for larger models
AI Productivity from $0 free tier: yes Verified JUN 23, 2026
05 LangChain
Open-source frameworks for building LLM agents, plus the commercial LangSmith platform for tracing, evaluation, and deployment
AI Agents & Automation from $39/seat/mo free tier: yes Verified JUL 12, 2026
When to stay with LiteLLM
Documented strengths from our LiteLLM review — switching isn't always the right call:
- The gateway core is genuine MIT — self-hosting is free, unmetered, uncapped in users, and sends no telemetry back to the vendor
- You keep your own provider contracts and keys, so LiteLLM takes no cut of inference spend and adds no token markup
- One OpenAI-format endpoint covers 100+ providers, so switching or adding a model is usually a config change rather than a code change