Hugging Face vs Together AI
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Hugging Face
The registry the open-source AI world runs on
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Together AI
High-performance inference for open-weights LLMs
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| RECATOOLS Score | 8.5 / 10 | 8 / 10 |
| Capability | — | |
| Value for money | — | |
| Ease of use | — | |
| ASEAN readiness | — | |
| API quality | — | |
| Pricing | Freemium | Paid |
| Free tier | Unlimited public model/dataset access; 100GB private storage; limited daily ZeroGPU/inference credits | — |
| Paid from | PRO $9/mo/user; Team $20/mo/seat; Enterprise $50+/mo/user | — |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✗ |
| Free to use | ✓ | ✗ |
| Users | ~13M monthly active users; 50,000+ organizations | — |
| Founded | 2016 | 2022 |
| Maker | Clément Delangue, Julien Chaumond, Thomas Wolf | — |
| Verdict | The open-source AI world runs on this. If a model is public — Llama, Qwen, Whisper, a fine-tuned diffusion checkpoint — it almost certainly lives on the Hub, and pulling it down is a two-line call in the transformers lib... |
Together AI is a developer-focused cloud for running, fine-tuning, and training open-source models (Llama, DeepSeek, Qwen, Flux, and many more) with an OpenAI-compatible API, competitive pricing, and strong inference per... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.