kitio.aiAdded Oct 28, 2026
Tinker
PaidTraining API from Thinking Machines for fine-tuning open models
What is Tinker?
Tinker is a fine-tuning API from Thinking Machines Lab that lets researchers and developers train open-weight models without managing GPUs. You write the training loop in Python on your machine, and Tinker runs it on distributed clusters.
Tinker supports LoRA fine-tuning and reinforcement learning on dense and mixture-of-experts models from about 1 billion to over 1 trillion parameters. You keep control of data, algorithms and the resulting weights.
Usage is billed per million tokens processed, with prices set per model. Thinking Machines also uses Tinker to let enterprises customize its own open-weight models.
Features
- Managed distributed training
- LoRA fine-tuning
- Reinforcement learning
- Large MoE model support
- Downloadable weights
Tags
Releases
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Organization
Thinking Machines Lab
🇺🇸 United States
Listed by kitio.ai · unverified owner
Pricing
- Pricing model
- Paid
- Paid options from
- Not listed
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Pros and cons
Pros
- No GPU management
- Full control of training code
- Handles very large models
Cons
- Costlier than raw GPUs for small models
- Requires ML coding skills
- LoRA-focused
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Q&A
What is Tinker?
Tinker is a fine-tuning API from Thinking Machines Lab that lets researchers and developers train open-weight models without managing GPUs. You write the training loop in Python on your machine, and Tinker runs it on distributed clusters.
How much does Tinker cost?
Tinker is paid.
Is there a free version of Tinker?
No. Tinker is a paid tool.
What are the main features of Tinker?
Managed distributed training, LoRA fine-tuning, Reinforcement learning, Large MoE model support, Downloadable weights.
Who makes Tinker?
Tinker is made by Thinking Machines Lab.
What are the best alternatives to Tinker?
Popular alternatives include Mistral Studio, DeepSeek API, Fireworks AI.