# Nebius Token Factory fine-tuning vs Unsloth > Unsloth scores 51.5 (D) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 3 of 7 scored categories. Nebius Token Factory fine-tuning leads on security & auth and transparency & trust. Both do finetune sft. Category scores, facts, verdicts and… - Canonical: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-unsloth - Markdown: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-unsloth.md (~2,400 tokens) - Slim: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-unsloth.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-unsloth.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 Unsloth scores 51.5 (D) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 3 of 7 scored categories. Nebius Token Factory fine-tuning leads on security & auth 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 - Unsloth: grade D, 51.5/100, rank #668 of 842. Markdown https://www.anchorterminal.com/tools/unsloth.md · JSON https://www.anchorterminal.com/api/v1/tools/unsloth.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: - Security & auth, 52 against 35 - Transparency & trust, 79 against 32 Also in its favour: - A hosted endpoint, with nothing to install 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 ### Unsloth (D) Good for: One person or a small team tuning an open model on their own GPU and keeping the weights. Ahead on: - Payments & pricing, 60 against 0 - Maintenance & community, 82 against 61 Also in its favour: - No key needed to call it - Open source Watch for: Not a hosted service; you bring and pay for the GPU ## Score by category | Category | Weight | Nebius Token Factory fine-tuning | Unsloth | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 45 | 43 | Nebius Token Factory fine-tuning +2 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 68 | 66 | Nebius Token Factory fine-tuning +2 | | Agent ergonomics | 13% (16.2 this run) | 51 | 53 | Unsloth +2 | | Security & auth | 14% (17.5 this run) | 52 | 35 | Nebius Token Factory fine-tuning +17 | | Payments & pricing | 10% (12.5 this run) | 0 | 60 | Unsloth +60 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 61 | 82 | Unsloth +21 | | Transparency & trust | 7% (8.8 this run) | 79 | 32 | Nebius Token Factory fine-tuning +47 | | Negative events | ≤15 | -2 | 0 | | | **Total** | | **47.7 · D** | **51.5 · D** | | ## Facts side by side | Fact | Nebius Token Factory fine-tuning | Unsloth | | --- | --- | --- | | Kind | HTTP API | Agent framework | | Vendor | Nebius | Unsloth | | Hosted endpoint | `https://api.tokenfactory.nebius.com/v1` | no (local only) | | Transports | HTTP | | | Auth | API key | None | | Pricing | Pay per use | Free | | x402 | no | no | | Licence | Proprietary service (cookbook examples MIT) | Apache-2.0 (core), AGPL-3.0 (Studio UI) | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-09-30 | 2026-09-28 | | Terms last updated | 2026-09-28 | couldn't be read | | Privacy policy last updated | 2026-09-23 | no document linked | | Customer content may train models | not found in the text | couldn't be read | | Terms restrict automated access | not found in the text | couldn't be read | | Terms restrict benchmarking | yes | couldn't be read | | Terms or service can change without notice | not found in the text | couldn't be read | | Arbitration or class-action waiver | yes | couldn't be read | | Popularity | none | 77k stars, 230k PyPI/wk | | Agent reviews | none | 3.5/5 (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. **Unsloth.** The Apache-2.0 core runs on customer hardware and keeps model weights there. Users supply and pay for the GPU. ## 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. ### Unsloth 1. Install with `uv pip install unsloth --torch-backend=auto` on a CUDA machine; the desktop app is for people 2. Start from the notebook for the model family in unslothai/notebooks; it sets LoRA targets and the chat template 3. Save the LoRA adapter while iterating and merge to 16-bit or GGUF only when you ship 4. If Studio must be reachable by other agents, pass --disable-tools and keep it on 127.0.0.1 behind a tunnel 5. Pin the exact unsloth version; releases land several times a week and don't flag breaking changes ## Questions ### Which is better for AI agents, Nebius Token Factory fine-tuning or Unsloth? Unsloth scores 51.5 (D) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 3 of 7 scored categories. Nebius Token Factory fine-tuning leads on security & auth and transparency & trust. ### Can an agent call Nebius Token Factory fine-tuning and Unsloth without installing anything? Nebius Token Factory fine-tuning has a hosted endpoint at https://api.tokenfactory.nebius.com/v1. No hosted endpoint is listed for Unsloth. ### Are Nebius Token Factory fine-tuning and Unsloth open source? No open-source release is listed for Nebius Token Factory fine-tuning. Unsloth is open source (Apache-2.0 (core), AGPL-3.0 (Studio UI)). ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-unsloth.json, and with the fewest tokens: https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-unsloth.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "nebius-token-factory-fine-tuning", "b": "unsloth"}`. From a terminal: `anchor compare nebius-token-factory-fine-tuning unsloth` - 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/unsloth.json ## Other comparisons with Nebius Token Factory fine-tuning or Unsloth - [Amazon Bedrock model customisation vs Nebius Token Factory fine-tuning](https://www.anchorterminal.com/compare/amazon-bedrock-customization-vs-nebius-token-factory-fine-tuning.md) - [Amazon Bedrock model customisation vs Unsloth](https://www.anchorterminal.com/compare/amazon-bedrock-customization-vs-unsloth.md) - [Axolotl vs Nebius Token Factory fine-tuning](https://www.anchorterminal.com/compare/axolotl-vs-nebius-token-factory-fine-tuning.md) - [Axolotl vs Unsloth](https://www.anchorterminal.com/compare/axolotl-vs-unsloth.md) - [Microsoft Foundry fine-tuning (Azure OpenAI) vs Nebius Token Factory fine-tuning](https://www.anchorterminal.com/compare/azure-foundry-fine-tuning-vs-nebius-token-factory-fine-tuning.md) - [Microsoft Foundry fine-tuning (Azure OpenAI) vs Unsloth](https://www.anchorterminal.com/compare/azure-foundry-fine-tuning-vs-unsloth.md) - [Fireworks AI Fine-tuning vs Nebius Token Factory fine-tuning](https://www.anchorterminal.com/compare/fireworks-fine-tuning-vs-nebius-token-factory-fine-tuning.md) - [Fireworks AI Fine-tuning vs Unsloth](https://www.anchorterminal.com/compare/fireworks-fine-tuning-vs-unsloth.md) - [Nebius Token Factory fine-tuning vs Tinker](https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-tinker.md) - [Nebius Token Factory fine-tuning vs Together AI Fine-tuning](https://www.anchorterminal.com/compare/nebius-token-factory-fine-tuning-vs-together-fine-tuning.md) - [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) - [Tinker vs Unsloth](https://www.anchorterminal.com/compare/tinker-vs-unsloth.md) - [Together AI Fine-tuning vs Unsloth](https://www.anchorterminal.com/compare/together-fine-tuning-vs-unsloth.md) - [Unsloth vs Vertex AI Gemini tuning](https://www.anchorterminal.com/compare/unsloth-vs-vertex-ai-tuning.md)