These tools competes with
TinkervsUnsloth
Managed distributed fine-tuning API from Thinking Machines Lab versus 2× faster, 70% less memory LoRA fine-tuning
Compare interactively in Explore →Choose Tinker when…
- •You want a managed fine-tuning API instead of running training infra yourself
- •You need to fine-tune large open-weight MoE models without provisioning GPU clusters
- •You're comparing a hosted training loop against library-based options like Axolotl/Unsloth
Choose Unsloth when…
- •You want the fastest OSS LoRA fine-tuning with minimal GPU memory
- •You're fine-tuning Llama, Mistral, or Gemma models
- •Memory constraints are the bottleneck in your training setup
Side-by-side comparison
Field
Tinker
Unsloth
Category
Fine-tuning
Fine-tuning
Type
Commercial
Open Source
Free Tier
✗ No
✓ Yes
Pricing Plans
Usage-based: Per-token, varies by model
Pro: $29/mo
GitHub Stars
—
⭐ 32,000
Health
—
●95 — Active
Tinker
Hosted fine-tuning API (LoRA and full fine-tune) for open-weight models, including large MoE models, from Mira Murati's Thinking Machines Lab. A managed-training-loop alternative to library-based tools like Axolotl or Unsloth — usage-based per-token pricing that varies by model.
Shared Connections1 tool both integrate with
Only Tinker (1)
Unsloth
Only Unsloth (5)
AxolotlLlamaFactoryTorchtunevLLMTinker
Explore the full AI landscape
See how Tinker and Unsloth fit into the bigger picture — 256 tools, 553 relationships, all mapped.