kitio.aiTinker vs Adaptive ML
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Tinker starts at See pricing page and Adaptive ML starts at See pricing page. Check both pricing pages for current plans.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Managed distributed training
- LoRA fine-tuning
- Reinforcement learning
- Large MoE model support
- Downloadable weights
- RL-based model tuning
- LLM evaluation
- Model serving
- Open model specialization
- Enterprise deployment
| Feature | Tinker | Adaptive ML |
|---|---|---|
| Best for | Training API from Thinking Machines for fine-tuning open models | Tune, evaluate and serve specialized LLMs with reinforcement learning |
| Category | Models & APIs | Models & APIs |
| Pricing model | Paid | Paid |
| Starting price | See pricing page | See pricing page |
| Free plan | No | No |
| Made by | Thinking Machines Lab | Adaptive ML |
| Based in | United States | France |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Tinker starts at See pricing page and Adaptive ML starts at See pricing page. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Tinker
- No GPU management
- Full control of training code
- Handles very large models
- Costlier than raw GPUs for small models
- Requires ML coding skills
- LoRA-focused
Adaptive ML
- Lets smaller models match larger ones
- Evaluation and serving in one place
- You own the tuned models
- Acquired by Datadog, roadmap unclear
- No public pricing
- Needs ML expertise to use well
Which one should you choose?
Choose Tinker if you want:
- No GPU management
- Full control of training code
- Handles very large models
Watch out: costlier than raw gpus for small models.
Choose Adaptive ML if you want:
- Lets smaller models match larger ones
- Evaluation and serving in one place
- You own the tuned models
Watch out: acquired by datadog, roadmap unclear.
Tinker vs Adaptive ML FAQ
What is the difference between Tinker and Adaptive ML?
Tinker: Training API from Thinking Machines for fine-tuning open models. Adaptive ML: Tune, evaluate and serve specialized LLMs with reinforcement learning. Both are models & apis tools.
Is Tinker or Adaptive ML cheaper?
Tinker starts at See pricing page and Adaptive ML starts at See pricing page. Check both pricing pages for current plans.
Do Tinker and Adaptive ML have free plans?
Tinker: No. Adaptive ML: No.
Who makes Tinker?
Tinker is made by Thinking Machines Lab, based in United States.
Who makes Adaptive ML?
Adaptive ML is made by Adaptive ML, based in France.
Which should I choose, Tinker or Adaptive ML?
Choose Tinker if you value no gpu management and full control of training code. Choose Adaptive ML if you value lets smaller models match larger ones and evaluation and serving in one place.