# Amazon Bedrock model customisation vs Nebius Token Factory fine-tuning

> Amazon Bedrock model customisation scores 75.8 (BB) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 6 of 7 scored categories. Nebius Token Factory fine-tuning leads on maintenance & community. Both do finetune sft. Category scores, facts…

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- Updated: 2026-10-09

Amazon Bedrock model customisation scores 75.8 (BB) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 6 of 7 scored categories. Nebius Token Factory fine-tuning leads on maintenance & community. Both do finetune sft.

- Amazon Bedrock model customisation: grade BB, 75.8/100, rank #39 of 842. Markdown https://www.anchorterminal.com/tools/amazon-bedrock-customization.md · JSON https://www.anchorterminal.com/api/v1/tools/amazon-bedrock-customization.json
- 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

## Which one, for what

### Amazon Bedrock model customisation (BB)

Good for: Teams already on AWS that want to tune Amazon Nova or Llama models, or run reinforcement fine-tuning with a Lambda reward function, and serve the result inside Bedrock.

Ahead on:
- Reliability, 95 against 45
- Schema & documentation, 87 against 68
- Agent ergonomics, 77 against 51
- Security & auth, 87 against 52
- Payments & pricing, 30 against 0

Also in its favour:
- Agent-ready, a grade of BB or better

Watch for: Fine-tuning runs in us-east-1 and us-west-2 only, and each base model in one of them (two for the Titan models)

### 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:
- Maintenance & community, 61 against 45

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


## Score by category

| Category | Weight | Amazon Bedrock model customisation | Nebius Token Factory fine-tuning | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 95 | 45 | Amazon Bedrock model customisation +50 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 87 | 68 | Amazon Bedrock model customisation +19 |
| Agent ergonomics | 13% (16.2 this run) | 77 | 51 | Amazon Bedrock model customisation +26 |
| Security & auth | 14% (17.5 this run) | 87 | 52 | Amazon Bedrock model customisation +35 |
| Payments & pricing | 10% (12.5 this run) | 30 | 0 | Amazon Bedrock model customisation +30 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 45 | 61 | Nebius Token Factory fine-tuning +16 |
| Transparency & trust | 7% (8.8 this run) | 83 | 79 | Amazon Bedrock model customisation +4 |
| Negative events | ≤15 | 0 | -2 | |
| **Total** | | **75.8 · BB** | **47.7 · D** | |

## Facts side by side

| Fact | Amazon Bedrock model customisation | Nebius Token Factory fine-tuning |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Amazon Web Services | Nebius |
| Hosted endpoint | `https://bedrock.{region}.amazonaws.com/model-customization-jobs` | `https://api.tokenfactory.nebius.com/v1` |
| Transports | HTTP | HTTP |
| Auth | OAuth or key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | none | Proprietary service (cookbook examples MIT) |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-05-28 | 2026-09-30 |
| Terms last updated | 2026-10-01 | 2026-09-28 |
| Privacy policy last updated | 2026-05-18 | 2026-09-23 |
| Customer content may train models | yes, with an opt-out | not found in the text |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | yes | not found in the text |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 2.8M npm/wk, 573.7M PyPI/wk | none |

## Verdicts

**Amazon Bedrock model customisation.** Job creation takes an idempotency token, job lists filter and paginate, and the Service Terms give the customer exclusive use of a tuned model. Jobs run in two US Regions only, weights can't be exported, and the newest customisation API change found dates from 28 May 2026.

**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.

## Before you call either

### Amazon Bedrock model customisation

1. Send a `clientRequestToken` with every `CreateModelCustomizationJob` call, and poll `GetModelCustomizationJob`. Jobs are asynchronous and can take hours
2. Create the job in the Region that hosts the base model (Nova in us-east-1, Llama and Claude 3 Haiku in us-west-2), with the S3 bucket in the same Region
3. Pass an IAM service role that trusts `bedrock.amazonaws.com` and can read the training data and write the output location. The caller needs `iam:PassRole`
4. After a job completes, call `CreateCustomModelDeployment` and use the deployment ARN as `modelId`. Models outside the on-demand list need Provisioned Throughput
5. For gpt-oss-20b and Qwen3 32B, use `/v1/fine_tuning/jobs` on `bedrock-mantle.us-west-2.api.aws` with a Bedrock API key and a Lambda grader ARN

### 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.

## Questions

### Which is better for AI agents, Amazon Bedrock model customisation or Nebius Token Factory fine-tuning?

Amazon Bedrock model customisation scores 75.8 (BB) on agent readiness against Nebius Token Factory fine-tuning's 47.7 (D), and leads in 6 of 7 scored categories. Nebius Token Factory fine-tuning leads on maintenance & community.

### Do Amazon Bedrock model customisation and Nebius Token Factory fine-tuning need an API key?

Amazon Bedrock model customisation takes an API key or an OAuth sign-in. Nebius Token Factory fine-tuning needs an API key.

### Can an agent call Amazon Bedrock model customisation and Nebius Token Factory fine-tuning without installing anything?

Yes. Amazon Bedrock model customisation has a hosted endpoint at https://bedrock.{region}.amazonaws.com/model-customization-jobs and Nebius Token Factory fine-tuning at https://api.tokenfactory.nebius.com/v1.


## For agents

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

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