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Kimi K2.7 Code achieves high GPQA score and token speed

Kimi K2.7 Code has achieved a score of 89.6% on the GPQA benchmark and can process 40.5 tokens per second. A key highlight of this model is its efficiency, demonstrated by achieving 25.1 intelligence points per dollar. AI

IMPACT Demonstrates improved efficiency and performance on academic benchmarks, potentially influencing future model development.

RANK_REASON The item reports on benchmark performance for an AI model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

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Kimi K2.7 Code achieves high GPQA score and token speed

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Kimi K2.7 Code hits 89.6% on GPQA and 40.5 tokens/sec, but the real standout is 25.1 intelligence points per dollar — that’s how the efficiency math flips. http

    Kimi K2.7 Code hits 89.6% on GPQA and 40.5 tokens/sec, but the real standout is 25.1 intelligence points per dollar — that’s how the efficiency math flips. https:// olud.ai/leaderboard.html # LLM # Benchmarks # OpenSource # AI