Side by side

Commissioned vs Thinking Machines Tinker

Compare what each tool does, what it costs, and how it fits your workflow.

Designed for
Fine-tuning in minutes not weeks
A training API for researchers and developers.
Primary task
Model training
Model training
Pricing
Freemium · Free + from $25/mo
Paid · from $0.12
Pricing details
Free + from $25/mo
from $0.12
Billing cycle
Monthly
Pay-as-you-go
API access
Not documented
Not documented
Platforms
Web
Web
Integrations
Not documented
Not documented
Source rating
4.7 / 5 · 3 ratings
5.0 / 5 · 1 ratings
Catalog views
25k
246
Estimated monthly traffic
—
179.6K
Catalog imported
31 Aug 2026
30 Aug 2026
Listed strengths
  • Fine-tunes models automatically
  • No data formatting
  • No coding
  • No dedicated infrastructure
  • Better style adherence
  • Designed for researchers, developers
  • Simplifies model training, fine-tuning
  • Complete control over training
  • Supports forward and backward pass
  • Optim_step for weight updates
Listed limitations
  • Limited model support
  • Dependent on external hardware
  • Too automated
  • No code customizations
  • Possible oversimplification of ML
  • Limited to open-source models
  • Doesn't modify original weights
  • Strict privacy may limit functionality
  • No infrastructure management flexibility
  • Dependent on LoRA method

← Commissioned Thinking Machines Tinker →