kitio.aiOllama vs ONNX
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. ONNX is completely free, while Ollama is freemium.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- One-command model runs
- OpenAI-compatible local API
- Model library
- Desktop chat app
- Ollama Cloud
- Standard model file format
- Common operator set
- Framework export support
- Runtime and accelerator support
- Open governance
| Feature | Ollama | ONNX |
|---|---|---|
| Best for | Run open models locally with one command, plus optional cloud models | Open file format for moving ML models between frameworks |
| Category | Models & APIs | Models & APIs |
| Pricing model | Freemium | Free |
| Starting price | $20/mo | Free |
| Free plan | Yes | Yes, fully free |
| Made by | Ollama | ONNX community (LF AI & Data) |
| Based in | United States | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
ONNX is completely free, while Ollama is freemium.
Free plan
Cheapest paid plan
Top plan
Free trial
5 plans
Pay as you go
Free
- Run models locally for free
- Pay per token for cloud models
- 3 concurrent requests
Pro
$20/mo
- $60 of usage credits per month
- Access to larger pro models
Max
$100/mo
- $300 of usage credits per month
- 10 concurrent requests
- Early access to new models
Team
$500/mo
- Unlimited users
- $1,000 shared credits per month
- Centralized billing, priority support
Enterprise
Custom
- Cost budgets per user and key
- Dedicated Slack support
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
Ollama
- Very easy local setup
- Huge tool ecosystem
- Free for local use
- Fewer tuning options than llama.cpp
- Large models need strong hardware
- Cloud limits can change
ONNX
- Supported by many frameworks and runtimes
- Free and open source
- Eases moving models to new hardware
- Not every operator converts cleanly
- Needs a separate runtime to execute models
- Aimed at ML engineers, not end users
Which one should you choose?
Choose Ollama if you want:
- Very easy local setup
- Huge tool ecosystem
- Free for local use
Watch out: fewer tuning options than llama.cpp.
Choose ONNX if you want:
- Supported by many frameworks and runtimes
- Free and open source
- Eases moving models to new hardware
Watch out: not every operator converts cleanly.
Ollama vs ONNX FAQ
What is the difference between Ollama and ONNX?
Ollama: Run open models locally with one command, plus optional cloud models. ONNX: Open file format for moving ML models between frameworks. Both are models & apis tools.
Is Ollama or ONNX cheaper?
ONNX is completely free, while Ollama is freemium.
Do Ollama and ONNX have free plans?
Ollama: Yes. ONNX: Yes, fully free.
Who makes Ollama?
Ollama is made by Ollama, based in United States.
Who makes ONNX?
ONNX is made by ONNX community (LF AI & Data).
Which should I choose, Ollama or ONNX?
Choose Ollama if you value very easy local setup and huge tool ecosystem. Choose ONNX if you value supported by many frameworks and runtimes and free and open source.