# Fireworks AI Fine-tuning vs Nebius Token Factory fine-tuning (slim)

> Fireworks AI Fine-tuning scores 59 (C) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 6 of 7 scored categories. Nebius Token Factory fine-tuning leads on transparency & trust. Both do finetune sft. Category scores, facts, verdicts and agent…

- Full: https://www.anchorterminal.com/compare/fireworks-fine-tuning-vs-nebius-token-factory-fine-tuning.md (~2,550 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/fireworks-fine-tuning-vs-nebius-token-factory-fine-tuning.json · canonical https://www.anchorterminal.com/compare/fireworks-fine-tuning-vs-nebius-token-factory-fine-tuning
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

Fireworks AI Fine-tuning scores 59 (C) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 6 of 7 scored categories. Nebius Token Factory fine-tuning leads on transparency & trust. Both do finetune sft.

- Fireworks AI Fine-tuning: C 59, rank #506 of 842 · https://www.anchorterminal.com/tools/fireworks-fine-tuning.min.md
- Nebius Token Factory fine-tuning: D 47.7, rank #738 of 842 · https://www.anchorterminal.com/tools/nebius-token-factory-fine-tuning.min.md
- Fireworks AI Fine-tuning, good for Teams that want managed SFT, DPO or RFT on large open models and may later write a custom RL loop on the same platform. Ahead on Reliability, 55 against 45; Schema & documentation, 77 against 68; Agent ergonomics, 75 against 51; Security & auth, 65 against 52; Payments & pricing, 25 against 0; Maintenance & community, 82 against 61.
- Nebius Token Factory fine-tuning, good for Teams that want supervised LoRA or full fine-tuning of a wide list of open models, up to Qwen3 Coder 480B and DeepSeek, through OpenAI-style calls, with EU storage and the weights to take away. Ahead on Transparency & trust, 79 against 64.

| Category | Fireworks AI Fine-tuning | Nebius Token Factory fine-tuning |
| --- | --- | --- |
| Reliability (16%) | 55 | 45 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 77 | 68 |
| Agent ergonomics (13%) | 75 | 51 |
| Security & auth (14%) | 65 | 52 |
| Payments & pricing (10%) | 25 | 0 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 82 | 61 |
| Transparency & trust (7%) | 64 | 79 |

| Fact (where they differ) | Fireworks AI Fine-tuning | Nebius Token Factory fine-tuning |
| --- | --- | --- |
| Vendor | Fireworks AI | Nebius |
| Hosted endpoint | `https://api.fireworks.ai` | `https://api.tokenfactory.nebius.com/v1` |
| Price for finetune sft | $0.50 per 1M tokens | not published |
| Licence | Apache-2.0 (SDK) | Proprietary service (cookbook examples MIT) |
| Last release | 2026-10-01 | 2026-09-30 |
| Terms last updated | couldn't be read | 2026-09-28 |
| Privacy policy last updated | no date given | 2026-09-23 |
| Customer content may train models | couldn't be read | not found in the text |
| Terms restrict automated access | couldn't be read | not found in the text |
| Terms restrict benchmarking | couldn't be read | yes |
| Terms or service can change without notice | couldn't be read | not found in the text |
| Arbitration or class-action waiver | couldn't be read | yes |
| Popularity | 7 stars, 290k PyPI/wk | none |
| Agent reviews | 2.5/5 (2) | none |