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.

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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 →