# Nebius Token Factory fine-tuning vs Vertex AI Gemini tuning

> 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.

- Canonical: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-vertex-ai-tuning
- Markdown: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-vertex-ai-tuning.md (~2,500 tokens)
- Slim: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-vertex-ai-tuning.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-vertex-ai-tuning.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.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: grade D, 47.7/100, rank #738 of 842. Markdown https://www.anchorterminal.com/tools/nebius-token-factory-fine-tuning.md · JSON https://www.anchorterminal.com/api/v1/tools/nebius-token-factory-fine-tuning.json
- Vertex AI Gemini tuning: grade B, 64.2/100, rank #325 of 842. Markdown https://www.anchorterminal.com/tools/vertex-ai-tuning.md · JSON https://www.anchorterminal.com/api/v1/tools/vertex-ai-tuning.json

## Which one, for what

### Nebius Token Factory fine-tuning (D)

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.

Watch for: No fine-tuning price found in the docs or the public catalogue JSON. The price page is a script-drawn console page that robots.txt disallows

### Vertex AI Gemini tuning (B)

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

Watch for: No weight export. The tuned model exists only as a Google Cloud endpoint


## Score by category

| Category | Weight | Nebius Token Factory fine-tuning | Vertex AI Gemini tuning | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 45 | 67 | Vertex AI Gemini tuning +22 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 68 | 82 | Vertex AI Gemini tuning +14 |
| Agent ergonomics | 13% (16.2 this run) | 51 | 48 | Nebius Token Factory fine-tuning +3 |
| Security & auth | 14% (17.5 this run) | 52 | 71 | Vertex AI Gemini tuning +19 |
| Payments & pricing | 10% (12.5 this run) | 0 | 20 | Vertex AI Gemini tuning +20 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 61 | 80 | Vertex AI Gemini tuning +19 |
| Transparency & trust | 7% (8.8 this run) | 79 | 88 | Vertex AI Gemini tuning +9 |
| Negative events | ≤15 | -2 | 0 | |
| **Total** | | **47.7 · D** | **64.2 · B** | |

## Facts side by side

| Fact | Nebius Token Factory fine-tuning | Vertex AI Gemini tuning |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Nebius | Google Cloud |
| Hosted endpoint | `https://api.tokenfactory.nebius.com/v1` | `https://us-central1-aiplatform.googleapis.com/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | OAuth |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Proprietary service (cookbook examples MIT) | Apache-2.0 (SDK) |
| Read-only variant documented | no | no |
| 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 automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | yes | not found in the text |
| Terms or service can change without notice | not found in the text | 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) |

## Verdicts

**Nebius Token Factory fine-tuning.** Supervised fine-tuning on 49 open base models through OpenAI-style `/v1/fine_tuning/jobs` calls, with LoRA or full weights and every checkpoint file downloadable. No fine-tuning price was found outside the script-drawn console, and the docs say tuned models deploy only to dedicated endpoints, with custom weights in beta on request.

**Vertex AI Gemini tuning.** Supervised, preference and reinforcement tuning of Gemini, plus supervised tuning of Gemma, Llama and Qwen. No weight export. The tuned model exists only as a Google Cloud endpoint.

## Before you call either

### Nebius Token Factory fine-tuning

1. Use the OpenAI client with `base_url` `https://api.tokenfactory.nebius.com/v1/` and `NEBIUS_API_KEY`. Upload JSONL with `purpose=fine-tune`, then create the job.
2. Set `hyperparameters.lora` to true for an adapter. The default is false, which runs full fine-tuning.
3. Poll `GET /v1/fine_tuning/jobs/{job_id}` no faster than every 15 seconds. There is no idempotency key, so list jobs before recreating one after a timeout.
4. Download every ID in a checkpoint's `result_files` before relying on hosted copies. The terms allow deletion of tuned models at three days' notice.
5. The spec requires `wandb.api_key` although the guide omits it, and it also accepts `mlflow` and `hf` integrations. Check the price in the console before starting a job.

### Vertex AI Gemini tuning

1. Use `client.tunings.tune()` from google-genai with `vertexai=True`, and expect an experimental warning. Tuning isn't available on the Gemini Developer API
2. Add `.md.txt` to any docs.cloud.google.com URL to read the page as Markdown
3. Tune Gemini 3.5 Flash or 3.1 Flash-Lite. The 2.5 models retire on 2026-10-20
4. List jobs with a filter before re-sending a create after a timeout. There's no request ID to deduplicate it
5. Count dataset tokens times epochs before submitting, since that product is the bill, and price serving at 1.5x base for Gemini 3 tunes

## Questions

### Which is better for AI agents, Nebius Token Factory fine-tuning or Vertex AI Gemini tuning?

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.

### Do Nebius Token Factory fine-tuning and Vertex AI Gemini tuning need an API key?

Nebius Token Factory fine-tuning needs an API key. Vertex AI Gemini tuning uses an OAuth sign-in.

### Can an agent call Nebius Token Factory fine-tuning and Vertex AI Gemini tuning without installing anything?

Yes. Nebius Token Factory fine-tuning has a hosted endpoint at https://api.tokenfactory.nebius.com/v1 and Vertex AI Gemini tuning at https://us-central1-aiplatform.googleapis.com/v1.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-vertex-ai-tuning.json, and with the fewest tokens: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-vertex-ai-tuning.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "nebius-token-factory-fine-tuning", "b": "vertex-ai-tuning"}`. From a terminal: `anchor compare nebius-token-factory-fine-tuning vertex-ai-tuning`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/nebius-token-factory-fine-tuning.json and https://www.anchorterminal.com/api/v1/tools/vertex-ai-tuning.json

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- [Together AI Fine-tuning vs Vertex AI Gemini tuning](https://www.anchorterminal.com/compare/together-fine-tuning-vs-vertex-ai-tuning.md)
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