Rank #36
Cohere: North Mini Code (free)
- LLM
- 256k ctx
- 1M
- $0.00
Model · Vendors
Cohere
Ranked models from this vendor or team on Global rankings (same data snapshot as the main global board).
Board snapshot:
About this vendor
Cohere builds Command, Embed, and Rerank models aimed at retrieval-augmented generation and enterprise search. On AI Hippo, review Command-family ranks, context limits, and blended 1M-token prices alongside competing frontier chat models.
Vendor snapshot
Catalog models 5
Ranked on Global board 1
Best rank #36
Price range (avg/1M) $0.09–$6.25/1M
Max context 256k ctx
Model types
Origins
Top ranked models
Models on this board · Global rankings
| Rank | Name | Type | Key metric | 1M tokens (avg) |
|---|---|---|---|---|
| 36 | Cohere: North Mini Code (free) | LLM | 256k ctx | $0.00 |
Catalog models (not in ranking)
| Rank | Name | Size | Price | Notes |
|---|---|---|---|---|
| — | Cohere: Command A | 256k ctx | $6.25/1M | cohere/command-a |
| — | Cohere: Command R (08-2024) | 128k ctx | $0.38/1M | cohere/command-r-08-2024 |
| — | Cohere: Command R+ (08-2024) | 128k ctx | $6.25/1M | cohere/command-r-plus-08-2024 |
| — | Cohere: Command R7B (12-2024) | 128k ctx | $0.09/1M | cohere/command-r7b-12-2024 |
| — | Cohere: North Mini Code (free) | 256k ctx | $0.00/1M | cohere/north-mini-code:free |
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 Cohere's highest-ranked model?
Cohere: North Mini Code (free) currently ranks #36 on AI Hippo's Global rankings board (snapshot 2026-08-02).
What does Cohere charge per 1M tokens?
Across catalog and ranked rows, blended 1M-token prices range from $0.09 to $6.25 in the latest snapshot (2026-08-02). Check individual model pages for prompt vs completion splits.
How many Cohere 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/