Open-Source LLM and Leaderboard 2026 Collaboration
benchmarks claude deepseek gemini llama open-source reasoning
| Source: Mastodon | Original article
Open-source LLMs ranked in new leaderboard. Top model achieves 86.8% GPQA score.
The Open-Source LLM Leaderboard 2026 has been released, providing an independent ranking of top AI models. GLM-5.1, a reasoning-focused model, tops the list with impressive benchmark scores, including 86.8% on GPQA and 62.3% on Long Context Reasoning. What sets this leaderboard apart is its independent measurement, rather than self-reported numbers, making it a reliable source for comparing AI models.
This matters because it gives developers and users a clear understanding of the strengths and weaknesses of various AI models, helping them make informed decisions when choosing a model for their needs. The leaderboard also provides a cost-effectiveness metric, with GLM-5.1 scoring 18.8 intelligence points per dollar, making it a valuable resource for those looking to balance performance and budget.
As the AI landscape continues to evolve, this leaderboard will be an important tool for tracking progress and identifying top-performing models. With multiple sources providing similar rankings, including the AI Leaderboard and BenchLM.ai, it will be interesting to watch how these models continue to develop and compete in the coming months.
Sources
Back to AIPULSEN