kitio.aiFireworks AI vs Tinker
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Fireworks AI starts at See pricing page and Tinker 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
- Serverless model API
- Dedicated GPU deployments
- Reinforcement fine-tuning
- Multi-LoRA serving
- Function calling
- Managed distributed training
- LoRA fine-tuning
- Reinforcement learning
- Large MoE model support
- Downloadable weights
| Feature | Fireworks AI | Tinker |
|---|---|---|
| Best for | Fast inference and fine-tuning platform for open models | Training API from Thinking Machines for fine-tuning open models |
| Category | Models & APIs | Models & APIs |
| Pricing model | Paid | Paid |
| Starting price | See pricing page | See pricing page |
| Free plan | No | No |
| Made by | Fireworks AI | Thinking Machines Lab |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Fireworks AI starts at See pricing page and Tinker starts at See pricing page. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
3 plans
Serverless
Per 1M tokens
- No setup, no cold starts
- Fine-tuned models at base price
On-demand GPUs
$8.00 / hr (H100)
- Billed per GPU second
- H100, H200, B200, B300 options
- No charge for start-up time
Enterprise
Contact sales
- Higher rate limits
- Faster speeds, lower costs
- Region-restricted deployments
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
Fireworks AI
- Low latency on popular models
- Strong fine-tuning tools
- Quick support for new open models
- Dedicated GPUs are costly
- Fewer image models than rivals
- Docs assume ML experience
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
Which one should you choose?
Choose Fireworks AI if you want:
- Low latency on popular models
- Strong fine-tuning tools
- Quick support for new open models
Watch out: dedicated gpus are costly.
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.
Fireworks AI vs Tinker FAQ
What is the difference between Fireworks AI and Tinker?
Fireworks AI: Fast inference and fine-tuning platform for open models. Tinker: Training API from Thinking Machines for fine-tuning open models. Both are models & apis tools.
Is Fireworks AI or Tinker cheaper?
Fireworks AI starts at See pricing page and Tinker starts at See pricing page. Check both pricing pages for current plans.
Do Fireworks AI and Tinker have free plans?
Fireworks AI: No. Tinker: No.
Who makes Fireworks AI?
Fireworks AI is made by Fireworks AI, based in United States.
Who makes Tinker?
Tinker is made by Thinking Machines Lab, based in United States.
Which should I choose, Fireworks AI or Tinker?
Choose Fireworks AI if you value low latency on popular models and strong fine-tuning tools. Choose Tinker if you value no gpu management and full control of training code.