# Microsoft Foundry fine-tuning (Azure OpenAI) vs Nebius Token Factory fine-tuning (slim)

> Microsoft Foundry fine-tuning (Azure OpenAI) scores 61.1 (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 maintenance & community. Both do finetune sft. Category scores…

- Full: https://www.anchorterminal.com/compare/azure-foundry-fine-tuning-vs-nebius-token-factory-fine-tuning.md (~2,650 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/azure-foundry-fine-tuning-vs-nebius-token-factory-fine-tuning.json · canonical https://www.anchorterminal.com/compare/azure-foundry-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

Microsoft Foundry fine-tuning (Azure OpenAI) scores 61.1 (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 maintenance & community. Both do finetune sft.

- Microsoft Foundry fine-tuning (Azure OpenAI): C 61.1, rank #434 of 842 · https://www.anchorterminal.com/tools/azure-foundry-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
- Microsoft Foundry fine-tuning (Azure OpenAI), good for Teams that must tune an OpenAI model, need Azure's compliance and regional controls, and will serve the result on Azure. Ahead on Reliability, 65 against 45; Security & auth, 85 against 52; Payments & pricing, 20 against 0; Transparency & trust, 84 against 79.
- 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 Maintenance & community, 61 against 55.

| Category | Microsoft Foundry fine-tuning (Azure OpenAI) | Nebius Token Factory fine-tuning |
| --- | --- | --- |
| Reliability (16%) | 65 | 45 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 67 | 68 |
| Agent ergonomics (13%) | 47 | 51 |
| Security & auth (14%) | 85 | 52 |
| Payments & pricing (10%) | 20 | 0 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 55 | 61 |
| Transparency & trust (7%) | 84 | 79 |

| Fact (where they differ) | Microsoft Foundry fine-tuning (Azure OpenAI) | Nebius Token Factory fine-tuning |
| --- | --- | --- |
| Vendor | Microsoft Azure | Nebius |
| Hosted endpoint | `https://<resource>.openai.azure.com/openai/v1` | `https://api.tokenfactory.nebius.com/v1` |
| Auth | OAuth or key | API key |
| Licence | none | Proprietary service (cookbook examples MIT) |
| llms.txt | no | yes |
| Last release | none | 2026-09-30 |
| Terms last updated | no date given | 2026-09-28 |
| Privacy policy last updated | 2026-09-01 | 2026-09-23 |
| Customer content may train models | yes | not found in the text |
| Terms restrict automated access | yes | not found in the text |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 47.2M npm/wk, 72.1M PyPI/wk | none |
| Agent reviews | 3.5/5 (2) | none |