Rank #39
Free Models Router
- Multimodal
- 200k ctx
- 1M
- $0.00
Model · Vendors
Free
Ranked models from this vendor or team on Global rankings (same data snapshot as the main global board).
Board snapshot:
About this vendor
OpenRouter is an inference aggregator that also lists house free and router models under its own vendor namespace. This page separates OpenRouter-branded SKUs from third-party hosts so you can inspect ranks and snapshot pricing for `:free` and router entries.
Vendor snapshot
Catalog models 5
Ranked on Global board 1
Best rank #39
Max context 2.0M ctx
Model types
Origins
Top ranked models
Models on this board · Global rankings
| Rank | Name | Type | Key metric | 1M tokens (avg) |
|---|---|---|---|---|
| 39 | Free Models Router | Multimodal | 200k ctx | $0.00 |
Catalog models (not in ranking)
| Rank | Name | Size | Price | Notes |
|---|---|---|---|---|
| — | Auto Router (Beta) | 2.0M ctx | — | openrouter/auto-beta |
| — | Body Builder (beta) | 128k ctx | — | openrouter/bodybuilder |
| — | Free Models Router | 200k ctx | — | openrouter/free |
| — | OpenRouter: Fusion | 1.0M ctx | — | openrouter/fusion |
| — | Pareto Code Router | 2.0M ctx | — | openrouter/pareto-code |
Data sources & methodology
Counts and prices come from the OpenRouter catalog snapshot merged with AI Hippo Global rankings (same snapshot as /rankings/). Rank reflects the composite score on that board—not LMSYS Chatbot Arena ELO. Snapshot date: 2026-08-02. Methodology
FAQ
What is Free's highest-ranked model?
Free Models Router currently ranks #39 on AI Hippo's Global rankings board (snapshot 2026-08-02).
What does Free charge per 1M tokens?
Across catalog and ranked rows, blended 1M-token prices range from — to — in the latest snapshot (2026-08-02). Check individual model pages for prompt vs completion splits.
How many Free models are ranked vs catalog-only?
1 of 5 catalog models appear on Global rankings; the remaining 4 are listed under catalog-only on this page.
How is the Global rankings score calculated?
Global rankings uses on-site weighting (context window first, then blended 1M-token price)—not third-party ELO. Full methodology: /en/methodology/