Open Source AI Model Benchmarks 2026: Llama 3.1 vs Qwen 2.5 vs Mistral vs Phi-3

The best model depends on your use case. For general English + coding: Llama 3.1 70B leads. For Chinese: Qwen 2.5 72B is unmatched. For resource-constrained: Phi-3 3.8B runs on a phone. For reasoning: Mistral Large leads in math and logic.

# Open Source AI Model Benchmarks 2026 > Practical comparison of the 5 best open-source LLMs for self-hosting. ## Quick Summary Table | Model | Size | RAM | MMLU | HumanEval | Chinese | Best For | |-------|------|-----|------|-----------|---------|----------| | Llama 3.1 8B | 8B | 8GB | 73.0 | 72.6 | Good | General use | | Llama 3.1 70B | 70B | 48GB | 82.0 | 81.0 | Good | Best overall | | Qwen 2.5 7B | 7B | 8GB | 72.6 | 71.0 | Excellent | Chinese tasks | | Qwen 2.5 72B | 72B | 48GB | 84.1 | 80.0 | Excellent | Best Chinese | | Mistral 7B | 7B | 8GB | 71.0 | 70.0 | OK | Reasoning | | Phi-3 Mini | 3.8B | 4GB | 69.0 | 62.0 | Poor | Edge/phone | | Gemma 2 9B | 9B | 8GB | 71.0 | 71.0 | OK | Safety | ## Recommendations by Use Case - **Running locally on a laptop (8GB)**: Llama 3.1 8B or Qwen 2.5 7B - **Best English + coding**: Llama 3.1 70B (needs GPU or cloud) - **Best Chinese**: Qwen 2.5 72B - **Running on a phone or edge device**: Phi-3 3.8B - **Multi-language**: Llama 3.1 70B - **Math and reasoning**: Mistral Large ## One-Line Setup ```bash # Pull your chosen model with Ollama ollama pull llama3.1:8b ollama pull qwen2.5:7b ollama pull phi3:3.8b ``` > For most users self-hosting on a standard laptop or VPS, Llama 3.1 8B is the best balance of quality and speed. For Chinese content, Qwen 2.5 7B is the clear winner.