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

By PulseAugur Editorial · [1 sources] ·

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 →

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

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

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0 / 100
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Tool
The item reports on benchmark performance for an AI model. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
Clearly on-topic for AI-industry coverage.
Story freshness
37 days old
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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

    LINKS olud.ai/leaderboard.html

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