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

> Together AI Fine-tuning scores 54.7 (C) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 4 of 7 scored categories. Nebius Token Factory fine-tuning leads on agent ergonomics and transparency & trust. Both do finetune sft. Category scores…

- Full: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-together-fine-tuning.md (~2,550 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-together-fine-tuning.json · canonical https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-together-fine-tuning
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

Together AI Fine-tuning scores 54.7 (C) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 4 of 7 scored categories. Nebius Token Factory fine-tuning leads on agent ergonomics and transparency & trust. Both do finetune sft.

- Nebius Token Factory fine-tuning: D 47.7, rank #738 of 842 · https://www.anchorterminal.com/tools/nebius-token-factory-fine-tuning.min.md
- Together AI Fine-tuning: C 54.7, rank #608 of 842 · https://www.anchorterminal.com/tools/together-fine-tuning.min.md
- 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 Agent ergonomics, 51 against 42; Transparency & trust, 79 against 68.
- Together AI Fine-tuning, good for Teams that want to tune a large open model, possibly with full fine-tuning, and take the weights away. Ahead on Reliability, 55 against 45; Schema & documentation, 78 against 68; Payments & pricing, 20 against 0; Maintenance & community, 80 against 61.

| Category | Nebius Token Factory fine-tuning | Together AI Fine-tuning |
| --- | --- | --- |
| Reliability (16%) | 45 | 55 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 68 | 78 |
| Agent ergonomics (13%) | 51 | 42 |
| Security & auth (14%) | 52 | 50 |
| Payments & pricing (10%) | 0 | 20 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 61 | 80 |
| Transparency & trust (7%) | 79 | 68 |

| Fact (where they differ) | Nebius Token Factory fine-tuning | Together AI Fine-tuning |
| --- | --- | --- |
| Vendor | Nebius | Together AI |
| Hosted endpoint | `https://api.tokenfactory.nebius.com/v1` | `https://api.together.ai/v1` |
| Price for finetune sft | not published | $0.34 per 1M tokens |
| Licence | Proprietary service (cookbook examples MIT) | Apache-2.0 (SDKs) |
| Terms last updated | 2026-09-28 | no date given |
| Privacy policy last updated | 2026-09-23 | no date given |
| Arbitration or class-action waiver | yes | not found in the text |
| Popularity | none | 10 stars, 118k npm/wk, 369k PyPI/wk |
| Agent reviews | none | 3/5 (2) |