Tool comparison· 1 min
Together AI vs Fireworks — where to run open models
Prices checked on each vendor's pricing page in November 2026.
AI Tools Hub Editorial · published · updated
Rates
| Together AI | Fireworks | |
|---|---|---|
| H100 on demand | Cluster $3.99/hr, dedicated $5.49/hr | $8.00/hr |
| H100 preemptible | $1.99/hr | Not listed |
| H100 reserved | $3.19–$3.69/hr | Not listed |
| Fine-tuning | Per 1M training tokens, e.g. Llama 3.1 8B SFT $0.34, $4.00 job minimum | LoRA SFT $0.50–$10.00 per 1M training tokens, DPO about double |
| Region restriction | Not listed | 1.5x premium |
Published fine-tuning pricing changes behaviour
Most providers make you contact sales to find out what fine-tuning costs, which means the experiment never gets approved. A published per-million-token range lets an engineer estimate it in five minutes, and that is the difference between trying and not trying.
The region premium is not a rounding error
A 1.5x uplift turns $8.00 into $12.00. If data residency is a requirement, settle that before comparing headline rates.
FAQ
Does fine-tuning help?
For output format, tone and domain vocabulary, yes. For adding knowledge, RAG is the better tool.