Fine-tuning platforms
Fine-tuning teaches a model your format, tone or task from your own examples. There are three ways in. Together AI, Fireworks, Google Cloud and AWS run managed jobs: upload a dataset, pay per training token, call the tuned model. Tinker sits in the middle: you write the training loop in Python, it runs the GPUs. Unsloth and Axolotl are free, open-source trainers for hardware you control. OpenAI's fine-tuning is closed to new users and winding down, so it isn't here. Training tokens are your dataset times the number of epochs, so a small clean dataset beats a big messy one on the bill too. 7 tools, in the order they appear in the directory. This is not a ranking.
Grouped by job: AI Agent Infrastructure
Together AI
Serverless API for open models such as gpt-oss, GLM and Kimi, OpenAI-compatible and billed per token, with batch, provisioned throughput, dedicated endpoints, fine-tuning (LoRA or full, SFT and DPO, priced per training token) and GPU clusters when you outgrow shared capacity. Image generation models too, such as FLUX.2, GPT Image 2 and Nano Banana Pro, priced per image. Video generation models as well, such as Seedance 2.5, HappyHorse and Hailuo 02.
Fireworks AI
Inference platform for open models: per-token serverless with Standard, Priority and Fast modes, batch at half the serverless price, on-demand GPUs billed per second, and LoRA or full fine-tuning (SFT, DPO) with tuned models served at the base price. Serverless embedding models too, from Qwen3 Embedding 8B to small BERT-size models. OpenAI-compatible.
Google Cloud Gemini Tuning
Google Cloud's managed fine-tuning for Gemini in Gemini Enterprise Agent Platform, formerly Vertex AI: supervised fine-tuning on Gemini 3.5 Flash, 3.5 Flash-Lite, 3.1 Flash-Lite and the 2.5 models, preference tuning on 2.5 Flash and Flash-Lite, and RL fine-tuning with up to 16 reward functions on 3.5 Flash and 3.1 Flash-Lite. From $1.50 per million training tokens on 2.5 Flash-Lite. Gemma, Llama and Qwen open models tune too.
Amazon Bedrock Model Customization
Amazon Bedrock's model customization: supervised fine-tuning, reinforcement fine-tuning with reward functions in AWS Lambda, and distillation from a large teacher model into a smaller one. Billed per training token times epochs, from $1 per million on Nova Micro, plus $1.95 per model a month for storage. Parameter-efficient custom models run on demand at the base model's price.
Tinker (Thinking Machines)
Thinking Machines' fine-tuning API for open-weight models from 4B to 1T parameters: write the training loop in Python on your own machine with forward_backward, optim_step and sample, and Tinker runs it on its GPUs. LoRA only, for SFT, RL, DPO and distillation. Pay per token, from $0.396 per million training tokens, and download any saved checkpoint.
Unsloth
Open-source fine-tuning library and desktop app for your own GPU or a free Colab notebook: LoRA, QLoRA, full fine-tuning, GRPO, DPO and FP8 for LLMs, vision, TTS and embedding models, which Unsloth says train 2x faster with 70% less VRAM. Exports to GGUF. Core Apache-2.0, Studio UI AGPL-3.0; Windows, Linux and macOS.
Axolotl
Free, open-source (Apache-2.0) fine-tuning framework: one YAML config covers dataset prep, training, evaluation and quantization. Full fine-tuning, LoRA, QLoRA, DPO, KTO, ORPO and GRPO on NVIDIA or AMD GPUs, multi-GPU with FSDP2 or DeepSpeed and multi-node with Torchrun or Ray.
What it is, how it trains, what training costs, where the model runs.
Straight from each vendor's own pages. Plans move often, so the check date is below.
| Tool | What it is | Methods | Training price | Models and deploy |
|---|---|---|---|---|
| Together AI | Inference cloud with managed fine-tuning jobs, plus Post-Training on GPUs you reserve. | LoRA or full fine-tuning. SFT and DPO, with vision, function-calling and reasoning data. Post-Training adds GRPO. | LoRA SFT from $0.34 per 1M training tokens (Llama 3.1 8B, small Qwen3.5), Llama 3.3 70B $2.03. DPO costs about 2.5x. Minimum charge per job from $4. | Open models or your own Hugging Face model. Serve on a dedicated endpoint or download the weights. |
| Fireworks AI | Inference platform with managed fine-tuning and a Training API. | SFT, DPO and ORPO, as LoRA or full-parameter. Datasets in OpenAI chat JSONL. | LoRA SFT per 1M training tokens: $0.50 up to 16B, $3 to 80B, $6 to 300B, $10 above. Full fine-tuning and DPO cost double. | Open models. Tuned models run on on-demand deployments, multi-LoRA included, at the base model's price. |
| Google Cloud Gemini Tuning | Managed tuning in Gemini Enterprise Agent Platform, formerly Vertex AI. | Supervised fine-tuning on Gemini 3.5 Flash, 3.5 Flash-Lite, 3.1 Flash-Lite and 2.5. Preference tuning on 2.5 Flash and Flash-Lite. RL fine-tuning with reward functions on 3.5 Flash and 3.1 Flash-Lite. | Per 1M training tokens: 2.5 Flash-Lite $1.50, 3.5 and 3.1 Flash-Lite $3, 2.5 Flash $5, 3.5 Flash $10, 2.5 Pro $25. Gemma 3 1B $0.47. | Gemini plus open models such as Gemma, Llama and Qwen. Tuned Gemini 3 and later cost the same as the base model in the global region, 1.5x in others. |
| Amazon Bedrock Model Customization | Model customization inside Amazon Bedrock. | Supervised fine-tuning, reinforcement fine-tuning with reward functions in AWS Lambda, distillation from a teacher model. | Per 1M training tokens: Nova Micro $1, Nova Lite $2, Nova 2 Lite $3.78, Nova Pro $8. RFT on Nova 2 Lite $80 an hour. Storage $1.95 per model a month. US East. | Amazon Nova plus open models such as Llama, gpt-oss and Qwen. Parameter-efficient custom models run on demand at the base price; full-rank ones need Provisioned Throughput. |
| Tinker (Thinking Machines) | Thinking Machines' training API: your loop in Python, their GPUs. | LoRA only. SFT, RL (GRPO, PPO), DPO, distillation or your own loss, through forward_backward, optim_step and sample. | Per 1M tokens, by model: training from $0.396 (GPT-OSS-20B), Qwen3-8B $0.44, Kimi-K2.6 $4.84. Sampling and prefill billed apart. Storage $0.10 per GB a month. | Open-weight models from 4B to 1T parameters, dense and MoE. Download any saved checkpoint. |
| Unsloth | Open-source trainer and desktop app for your own GPU. | LoRA, QLoRA, full fine-tuning, pretraining, GRPO, DPO, FP8. LLMs, vision, TTS, embedding and diffusion models. | Free. Free Colab notebooks to start, then your own GPU. | Core Apache-2.0, Studio UI AGPL-3.0. Windows, Linux, WSL and macOS; NVIDIA, AMD and Intel GPUs. Exports to GGUF. |
| Axolotl | Open-source fine-tuning framework run from one YAML config. | Full fine-tuning, LoRA, QLoRA, QAT, DPO, IPO, KTO, ORPO, GRPO, reward models. Multimodal too. | Free. You pay for the GPUs. | Apache-2.0. NVIDIA or AMD GPUs, multi-GPU with FSDP2 or DeepSpeed, multi-node with Torchrun or Ray. Docker images and PyPI. |
Checked 2026-11-02. Sources: Together AI pricing, Together AI fine-tuning docs, Fireworks pricing, Fireworks fine-tuning docs, Gemini Enterprise Agent Platform tuning docs, Google Cloud generative AI pricing, Amazon Bedrock custom models docs, Amazon Bedrock pricing, AWS price list for Bedrock, US East, Tinker, Tinker pricing, Tinker docs, Unsloth on GitHub, Axolotl on GitHub.
Pick it if.
- Together AIYou want LoRA or full fine-tuning on open models, a posted price per model, and the weights to take home.
- Fireworks AIYou'll serve the tuned model on Fireworks and want it billed like the base model.
- Google Cloud Gemini TuningYou want a tuned Gemini, or RL fine-tuning with graded rewards, without running a trainer.
- Amazon Bedrock Model CustomizationYou're on AWS and want to tune Nova or distill a big model into a small one on your AWS bill.
- Tinker (Thinking Machines)You're doing RL or research and want to own the loss and the loop, not the GPUs.
- UnslothYou have one GPU, or a free Colab, and want to fine-tune on it today.
- AxolotlYou run your own cluster and want one config file from dataset to multi-node training.
Each listing.
The directory page, alternatives in the same category, and a head-to-head where we have one.
- Together AIAlternatives
- Fireworks AIAlternatives
- Google Cloud Gemini TuningAlternatives
- Amazon Bedrock Model CustomizationAlternatives
- Tinker (Thinking Machines)Alternatives
- UnslothAlternatives
- AxolotlAlternatives
Category pages list every tool in that category, including ones left off this page. Built one of these? Get it featured in its category.
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