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MiniMax M3 ranks 7th on Long-Horizon Terminal-Bench, open-weight version leads

MiniMax AI's M3 model has achieved the seventh position on the Long-Horizon Terminal-Bench, a benchmark designed to evaluate model performance on extended tasks. Additionally, an open-weight version of the model secured the top spot among open-weight models tested on the same benchmark. The Long-Horizon Terminal-Bench, established around May, previously indicated that even the top-performing models could only complete seven out of 46 tasks, with an average completion rate of two tasks across all tested models. AI

IMPACT Demonstrates advancements in long-horizon task performance for AI models, potentially influencing future model development and evaluation.

RANK_REASON The cluster reports on benchmark performance of AI models, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on X — MiniMax AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

MiniMax M3 ranks 7th on Long-Horizon Terminal-Bench, open-weight version leads

COVERAGE [1]

  1. X — MiniMax AI TIER_1 English(EN) · MiniMax_AI ·

    RT @RyanLeeMiniMax: MiniMax M3 reaches #7 position, OpenWeight #1 on Long-Horizon Terminal-Bench

    RT @RyanLeeMiniMax: MiniMax M3 reaches #7 position, OpenWeight #1 on Long-Horizon Terminal-Bench