DeepSeek

Open-weights LLM family from a Chinese AI lab. One of the strongest open-source models available as of early 2026 — frequently cited alongside Qwen as having surpassed Meta’s Llama in capability.

Why It Matters

DeepSeek demonstrated that open-source models from non-US labs could match or exceed models from established US AI labs at a fraction of the training cost. Its release caused significant attention in the AI community regarding compute efficiency.

Use in Local AI

Available in GGUF format via llama.cpp and Ollama. Commonly referenced in quantization naming: DeepSeek-R1-Q4_K_M follows the standard llama.cpp quantization naming convention.

Compared to Other Open-Source Models

Among the current leaders alongside Qwen. Both are considered stronger than Llama for most tasks as of early 2026.

API Access

Also available via DeepSeek’s own API and through OpenRouter for cloud inference at low cost.

See Also

• Qwen — comparable Chinese lab model
• Llama — Meta’s model; now behind DeepSeek in capability
• llama.cpp — inference engine for running locally
• Open-Source Model Integration — using open-source models with Claude Code
• Matthew Berman — source
• Source: Every AI Model Explained