Local LLM Leaderboard: What Your Machine Runs vs GPT-4 and GPT-5

Each dot is an open-weight model at its release date, colored by the memory it needs. The lines are the famous cloud models: anything above a line scores higher than that model did.

The best open-weight LLM on SWE-Bench Verified is Qwen3.8-27B (86.0%), which runs on a 24GB Mac, 11.0 points behind Claude Opus 5 (97.0%). SWE-Bench Verified is the headline real-world software-engineering benchmark; scores are third-party, raw-confirmed against each model's primary source.

How this leaderboard stays honest

• Capability: Epoch Capabilities Index by Epoch AI (raw data, data of 2026-10-13). It combines many benchmarks into one scale, so a 2023 cloud model and a 2026 open-weight model can be compared directly.
• Human preference: LMArena text leaderboard (overall) by LMArena (raw data, snapshot of 2026-10-08). Shown in its own column for context only.
• Coding: third-party SWE-Bench Verified results, each re-confirmed against its primary source.
• The tier rule: "Above GPT-4o" means the model's whole ECI range sits above GPT-4o's range. "GPT-4o class" means its score is at or above GPT-4o's but the two ranges overlap. Every such claim uses ECI only, never LMArena, and the two sources are never mixed or averaged.
• Precision: scores are for full-precision or API runs. The Q4 build you run locally may score lower, and ModelFit does not invent a number for that gap.
• Unscored models stay unscored: a model is matched to a source only when the source scored the same weights. No estimate fills a gap, and ModelFit's own engine ratings are never shown as benchmark scores.
• Fit: "runs on" and minimum memory come from the ModelFit engine, the same one behind every recommendation on the site. ModelFit runs no benchmarks.
• License: ECI and LMArena data are CC BY 4.0, credited to Epoch AI and LMArena; selected and mapped to ModelFit's catalog by ModelFit.