Open Source AI Model Leaderboard — Best Open Weights (2026)

A ranked leaderboard of the best open-source and open-weight AI models across code generation, video generation, reasoning, and multimodal categories. Compare licenses, parameter counts, context windows, and benchmark scores to find the right open model for your deployment.

Rapidly Evolving Field: The specialized and emerging AI model landscape is advancing quickly. New models, benchmarks, and pricing changes occur monthly. Last reviewed: July 2026.

Open Source Model Rankings

9 open-source models ranked by category and capability. All models listed have publicly available weights under permissive licenses (MIT, Apache 2.0, or community licenses).

Rank Model Provider Category License Parameters Context
1 DeepSeek Coder V3 DeepSeek AI Code & Developer AI Models MIT License Mixture-of-Experts (MoE) Decoder Transformer 128,000 tokens
2 Qwen2.5-Coder Alibaba Cloud Code & Developer AI Models Apache 2.0 License Decoder-only Transformer (Qwen2.5 family) 128,000 tokens
3 StarCoder2 BigCode / HuggingFace Code & Developer AI Models BigCode Open Model License Decoder-only Transformer (StarCoder family) 16,384 tokens
4 Wan2.1 Alibaba Cloud Video Generation Models Apache License 2.0 Diffusion Transformer (DiT)
5 DeepSeek R1 / R2 DeepSeek AI Reasoning & Thinking Models MIT (fully open, commercial use allowed) Mixture-of-Experts (MoE) Transformer 128,000 tokens
6 QwQ-32B Alibaba Qwen Team Reasoning & Thinking Models Apache 2.0 (commercial use allowed) Dense Decoder-only Transformer 32,768 tokens
7 Llama 4 Maverick Meta AI Multimodal Frontier Models Llama 4 Community License Mixture-of-Experts (128 experts, 17B active) 1,000,000 tokens
8 Kimi-VL Moonshot AI Multimodal Frontier Models MIT Dense transformer with vision encoder (early-fusion) 128,000 tokens
9 InternVL3 Shanghai AI Lab Multimodal Frontier Models MIT Dense transformer with InternViT vision encoder (early-fusion) 128,000 tokens

Deploy Open Source Models

Open-source models can be self-hosted on your own GPU infrastructure or deployed via managed inference providers. Check each model's detailed page for hardware requirements and deployment guides.

Browse All Models →