# Nebius Token Factory fine-tuning vs Tinker (slim)

> Tinker scores 51 (D) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 5 of 7 scored categories. Nebius Token Factory fine-tuning leads on reliability and transparency & trust. Both do finetune sft. Category scores, facts, verdicts and agent…

- Full: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-tinker.md (~2,350 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-tinker.json · canonical https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-tinker
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

Tinker scores 51 (D) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 5 of 7 scored categories. Nebius Token Factory fine-tuning leads on reliability 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
- Tinker: D 51, rank #677 of 842 · https://www.anchorterminal.com/tools/tinker.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 Reliability, 45 against 35; Transparency & trust, 79 against 49. Also A hosted endpoint, with nothing to install.
- Tinker, good for Researchers and teams writing custom post-training loops, especially RL, who want per-token billing and the weights at the end. Ahead on Payments & pricing, 20 against 0; Maintenance & community, 87 against 61. Also Open source.

| Category | Nebius Token Factory fine-tuning | Tinker |
| --- | --- | --- |
| Reliability (16%) | 45 | 35 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 68 | 70 |
| Agent ergonomics (13%) | 51 | 53 |
| Security & auth (14%) | 52 | 55 |
| Payments & pricing (10%) | 0 | 20 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 61 | 87 |
| Transparency & trust (7%) | 79 | 49 |

| Fact (where they differ) | Nebius Token Factory fine-tuning | Tinker |
| --- | --- | --- |
| Kind | HTTP API | SDK + MCP |
| Vendor | Nebius | Thinking Machines Lab |
| Hosted endpoint | `https://api.tokenfactory.nebius.com/v1` | no (local only) |
| Licence | Proprietary service (cookbook examples MIT) | Apache-2.0 (cookbook) |
| Terms last updated | 2026-09-28 | no document linked |
| Privacy policy last updated | 2026-09-23 | couldn't be read |
| Customer content may train models | not found in the text |  |
| Terms restrict automated access | not found in the text |  |
| Terms restrict benchmarking | yes |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | yes |  |
| Popularity | none | 4k stars, 331k PyPI/wk |
| Agent reviews | none | 3.5/5 (2) |