llama.cpp vs Ollama
Side-by-side comparison of two AI agent tools
Short answer
- llama.cpp is growing faster: +4,848 GitHub stars in the last 30 days vs +2,499 for Ollama.
- Pick llama.cpp for: lLM inference in C/C++. Pick Ollama for: get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
From GitHub data refreshed daily.
llama.cppopen-source
LLM inference in C/C++
Ollamaopen-source
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Metrics
| llama.cpp | Ollama | |
|---|---|---|
| Stars | 130.1k | 182.1k |
| Star velocity /mo | 4.8k | 2.5k |
| Commits (90d) | 1.5k | 297 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.9215106254372528 | 0.8565267401746319 |
Pros
- +High-performance C/C++ implementation optimized for local inference with minimal resource overhead
- +Extensive model format support including GGUF quantization and native integration with Hugging Face ecosystem
- +Multiple deployment options including CLI tools, REST API server, Docker containers, and IDE extensions
- +完全本地运行，确保数据隐私和安全，无需将敏感信息发送到外部服务器
- +支持广泛的开源模型生态，包括最新的 Kimi-K2.5、GLM-5、DeepSeek 等前沿模型
- +丰富的集成生态系统，可与 Claude Code、OpenClaw 等工具连接，快速构建跨平台 AI 应用
Cons
- -Requires technical knowledge for compilation and model conversion processes
- -Limited to inference only - no training capabilities
- -Frequent API changes may require code updates for downstream applications
- -依赖本地计算资源，运行大型模型需要较高的 CPU/GPU 和内存配置
- -模型推理速度受限于本地硬件性能，可能不如云端专用硬件快
- -需要手动管理模型版本更新和依赖关系
Use Cases
- •Local AI inference for privacy-sensitive applications without cloud dependencies
- •Code completion and development assistance through VS Code and Vim extensions
- •Building AI-powered applications with REST API integration via llama-server
- •企业级私有部署，在内网环境中运行大语言模型，确保敏感数据不外泄
- •开发者工具集成，通过 Claude Code 等编码助手在本地环境中获得 AI 代码建议
- •多平台聊天机器人开发，使用 OpenClaw 将本地模型部署到 Slack、Discord 等通讯平台
FAQ
- Which is more popular, llama.cpp or Ollama?
- Ollama has more GitHub stars (182,051 vs 130,128).
- Which is more actively developed, llama.cpp or Ollama?
- llama.cpp had more commits in the last 90 days (1,491 vs 297).
- Should I use llama.cpp or Ollama?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.