# Nebius Token Factory fine-tuning vs Together AI Fine-tuning

> 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…

- Canonical: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-together-fine-tuning
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- 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: 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
- Together AI Fine-tuning: grade C, 54.7/100, rank #608 of 842. Markdown https://www.anchorterminal.com/tools/together-fine-tuning.md · JSON https://www.anchorterminal.com/api/v1/tools/together-fine-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.

Ahead on:
- Agent ergonomics, 51 against 42
- Transparency & trust, 79 against 68

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

### Together AI Fine-tuning (C)

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

Watch for: Fine-tuned models don't run serverless; dedicated endpoints start at $5.49 an hour


## Score by category

| Category | Weight | Nebius Token Factory fine-tuning | Together AI Fine-tuning | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 45 | 55 | Together AI Fine-tuning +10 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 68 | 78 | Together AI Fine-tuning +10 |
| Agent ergonomics | 13% (16.2 this run) | 51 | 42 | Nebius Token Factory fine-tuning +9 |
| Security & auth | 14% (17.5 this run) | 52 | 50 | Nebius Token Factory fine-tuning +2 |
| Payments & pricing | 10% (12.5 this run) | 0 | 20 | Together AI Fine-tuning +20 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 61 | 80 | Together AI Fine-tuning +19 |
| Transparency & trust | 7% (8.8 this run) | 79 | 68 | Nebius Token Factory fine-tuning +11 |
| Negative events | ≤15 | -2 | 0 | |
| **Total** | | **47.7 · D** | **54.7 · C** | |

## Facts side by side

| Fact | Nebius Token Factory fine-tuning | Together AI Fine-tuning |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Nebius | Together AI |
| Hosted endpoint | `https://api.tokenfactory.nebius.com/v1` | `https://api.together.ai/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| Price for finetune sft | not published | $0.34 per 1M tokens |
| x402 | no | no |
| Licence | Proprietary service (cookbook examples MIT) | Apache-2.0 (SDKs) |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-09-30 | 2026-09-30 |
| Terms last updated | 2026-09-28 | no date given |
| Privacy policy last updated | 2026-09-23 | no date given |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | yes | yes |
| 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 | 10 stars, 118k npm/wk, 369k PyPI/wk |
| Agent reviews | none | 3/5 (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.

**Together AI Fine-tuning.** 31 tunable base models, 11 or 12 of them with full fine-tuning as well as LoRA. Fine-tuned models don't run serverless; dedicated endpoints start at $5.49 an hour.

## 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.

### Together AI Fine-tuning

1. Call POST /v1/fine-tunes/estimate-price with the same body before creating the job, and check the model's minimum charge
2. Read `lora_training.max_rank` from the model limits response before setting `lora_r`; most models went to 128 on 2026-09-29
3. Don't retry a create call blindly after a timeout; there's no idempotency key, so list jobs and check first
4. Download with checkpoint=adapter if you'll merge locally; merged weights for a 70B model are a large stream
5. Tear down the dedicated endpoint once evaluation ends, since it bills while idle

## Questions

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

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.

### Do Nebius Token Factory fine-tuning and Together AI Fine-tuning need an API key?

Both need an API key.

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

Yes. Nebius Token Factory fine-tuning has a hosted endpoint at https://api.tokenfactory.nebius.com/v1 and Together AI Fine-tuning at https://api.together.ai/v1.


## For agents

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

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- [Nebius Token Factory fine-tuning vs Vertex AI Gemini tuning](https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-vertex-ai-tuning.md)
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- [Together AI Fine-tuning vs Unsloth](https://www.anchorterminal.com/compare/together-fine-tuning-vs-unsloth.md)
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