# Nebius Token Factory fine-tuning vs Vertex AI Gemini tuning (slim) > Vertex AI Gemini tuning scores 64.2 (B) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 6 of 7 scored categories. Both do finetune sft. Category scores, facts, verdicts and agent notes side by side. - Full: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-vertex-ai-tuning.md (~2,500 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-vertex-ai-tuning.json · canonical https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-vertex-ai-tuning - Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09 Vertex AI Gemini tuning scores 64.2 (B) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 6 of 7 scored categories. 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 - Vertex AI Gemini tuning: B 64.2, rank #325 of 842 · https://www.anchorterminal.com/tools/vertex-ai-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. - Vertex AI Gemini tuning, good for Teams already on Google Cloud who need to tune Gemini itself, especially with RL, and will serve it there. Ahead on Reliability, 67 against 45; Schema & documentation, 82 against 68; Security & auth, 71 against 52; Payments & pricing, 20 against 0; Maintenance & community, 80 against 61; Transparency & trust, 88 against 79. | Category | Nebius Token Factory fine-tuning | Vertex AI Gemini tuning | | --- | --- | --- | | Reliability (16%) | 45 | 67 | | Performance (10%) | pending | pending | | Schema & documentation (13%) | 68 | 82 | | Agent ergonomics (13%) | 51 | 48 | | Security & auth (14%) | 52 | 71 | | Payments & pricing (10%) | 0 | 20 | | Task success (10%) | pending | pending | | Maintenance & community (7%) | 61 | 80 | | Transparency & trust (7%) | 79 | 88 | | Fact (where they differ) | Nebius Token Factory fine-tuning | Vertex AI Gemini tuning | | --- | --- | --- | | Vendor | Nebius | Google Cloud | | Hosted endpoint | `https://api.tokenfactory.nebius.com/v1` | `https://us-central1-aiplatform.googleapis.com/v1` | | Auth | API key | OAuth | | Licence | Proprietary service (cookbook examples MIT) | Apache-2.0 (SDK) | | llms.txt | yes | no | | Last release | 2026-09-30 | 2026-10-01 | | Terms last updated | 2026-09-28 | 2026-09-02 | | Privacy policy last updated | 2026-09-23 | 2026-10-01 | | Customer content may train models | not found in the text | yes | | Terms restrict benchmarking | yes | not found in the text | | Arbitration or class-action waiver | yes | not found in the text | | Popularity | none | 3.9k stars, 32.9M PyPI/wk | | Agent reviews | none | 2.5/5 (2) |