kitio.aillama.cpp vs DeepSpeed
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. llama.cpp starts at Free and DeepSpeed 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
- ZeRO memory optimization
- CPU and NVMe offload
- Pipeline and tensor parallelism
- Mixture-of-experts support
- Inference optimizations
- Autotuning
| Feature | llama.cpp | DeepSpeed |
|---|---|---|
| Best for | C/C++ engine for running LLMs efficiently on CPUs and GPUs | Open-source library for fast, memory-efficient distributed training |
| 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 | Microsoft |
| Based in | – | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
llama.cpp starts at Free and DeepSpeed 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
DeepSpeed
- Free and open source
- Trains models larger than GPU memory
- Works with Hugging Face Transformers
- Steep learning curve for configuration
- Benefits mostly multi-GPU setups
- Docs assume deep ML background
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 DeepSpeed if you want:
- Free and open source
- Trains models larger than GPU memory
- Works with Hugging Face Transformers
Watch out: steep learning curve for configuration.
llama.cpp vs DeepSpeed FAQ
What is the difference between llama.cpp and DeepSpeed?
llama.cpp: C/C++ engine for running LLMs efficiently on CPUs and GPUs. DeepSpeed: Open-source library for fast, memory-efficient distributed training. Both are models & apis tools.
Is llama.cpp or DeepSpeed cheaper?
llama.cpp starts at Free and DeepSpeed starts at Free. Check both pricing pages for current plans.
Do llama.cpp and DeepSpeed have free plans?
llama.cpp: Yes, fully free. DeepSpeed: Yes, fully free.
Who makes llama.cpp?
llama.cpp is made by ggml-org.
Who makes DeepSpeed?
DeepSpeed is made by Microsoft, based in United States.
Which should I choose, llama.cpp or DeepSpeed?
Choose llama.cpp if you value runs on modest hardware and very fast new-model support. Choose DeepSpeed if you value free and open source and trains models larger than gpu memory.