Llama vs Cohere
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Llama
Meta's downloadable LLM family, last updated with Llama 4 in April 202...
Visit
|
Cohere
Enterprise models and agents built for private deployment
Visit
|
|
|---|---|---|
| RECATOOLS Score | 8.3 / 10 | 7.8 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Open Source | Usage_based |
| Free tier | Free weight downloads (Llama 2, 3.x and 4) under Meta's Llama community licences, after accepting the licence | Free trial API key, rate-limited and not for production or commercial use; Command A+ and North Mini Code weights free under Apache 2.0 |
| Paid from | — | Pay per use from $0.0375 per million input tokens (Command R7B) |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✗ |
| Free to use | ✓ | ✓ |
| Users | 10m+ downloads | Over 17,000 active enterprise customers as of mid-2026, with $240M in annual recurring revenue. |
| Founded | 2023 | 2019 |
| Maker | Meta Platforms | Aidan Gomez, Nick Frosst, Ivan Zhang |
| Verdict | Llama 2 and 3 made Meta's family the default starting point for self-hosted and fine-tuned models, and the weights from Llama 2 through Llama 4 remain free to download from Hugging Face and Kaggle. Llama 4 Scout and Mave... |
Cohere suits enterprises that need to keep AI inside their own infrastructure. Embed 5 and Rerank 4 are practical building blocks for search and retrieval-augmented generation, Command A+ is now open-weight under Apache... |
| Full review → | Full review → |
← Back to AI Directory
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.