DeepSeek vs Llama 4 vs Qwen 3: Best Open Source AI

If you care about privacy, cost, or customization – open-weight models are the answer.

DeepSeek V4

• SWE-bench: 70.2% (competitive with GPT-4o)
• Exceptional coding ability
• Free API with generous limits, or self-host
• Best for: Local development, privacy-critical apps

Llama 4 Maverick (Meta)

• 128K token context
• Largest community and ecosystem
• Best for: Enterprise deployments, fine-tuning
• Free weights, run anywhere

Qwen 3 (Alibaba)

• Strong multilingual (especially Asian languages)
• Multiple sizes: 0.5B to 72B parameters
• Best for: International apps, mathematical reasoning
• Free, multiple variants

When to Use Open vs Closed

Use Open when:

• Data can’t leave your network
• You need to fine-tune for a specific use case
• Cost at scale matters
• You want predictable pricing

Use Closed when:

• You need absolute best quality
• Don’t want to manage infrastructure
• Reliability matters more than cost

The gap is closing fast. DeepSeek V4 is already better than GPT-4o was a year ago, and it’s free.

Build with open source AI? Show it off at a hackathon.