kitio.aillama.cpp vs ONNX
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. llama.cpp starts at Free and ONNX starts at Free. 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
- GGUF format
- Low-bit quantization
- Many GPU backends
- OpenAI-compatible server
- Built-in web UI
- Standard model file format
- Common operator set
- Framework export support
- Runtime and accelerator support
- Open governance
| Feature | llama.cpp | ONNX |
|---|---|---|
| Best for | C/C++ engine for running LLMs efficiently on CPUs and GPUs | Open file format for moving ML models between frameworks |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free | Free |
| Starting price | Free | Free |
| Free plan | Yes, fully free | Yes, fully free |
| Made by | ggml-org | ONNX community (LF AI & Data) |
| Based in | – | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
llama.cpp starts at Free and ONNX starts at Free. 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
llama.cpp
- Runs on modest hardware
- Very fast new-model support
- Foundation of many apps
- Command-line heavy
- Build options can confuse
- Less suited to high-concurrency serving
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 llama.cpp if you want:
- Runs on modest hardware
- Very fast new-model support
- Foundation of many apps
Watch out: command-line heavy.
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.
llama.cpp vs ONNX FAQ
What is the difference between llama.cpp and ONNX?
llama.cpp: C/C++ engine for running LLMs efficiently on CPUs and GPUs. ONNX: Open file format for moving ML models between frameworks. Both are models & apis tools.
Is llama.cpp or ONNX cheaper?
llama.cpp starts at Free and ONNX starts at Free. Check both pricing pages for current plans.
Do llama.cpp and ONNX have free plans?
llama.cpp: Yes, fully free. ONNX: Yes, fully free.
Who makes llama.cpp?
llama.cpp is made by ggml-org.
Who makes ONNX?
ONNX is made by ONNX community (LF AI & Data).
Which should I choose, llama.cpp or ONNX?
Choose llama.cpp if you value runs on modest hardware and very fast new-model support. Choose ONNX if you value supported by many frameworks and runtimes and free and open source.