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Polski(PL) Gemini 4 Argon osiągnął 97,5 proc. w benchmarku ARC-AGI-3 w teście wykorzystującym funkcje API dostawcy, lecz w standardowym środowisku jego wynik spadł do 49,8

Gemini 4 Argon benchmark results show significant performance drop in standard tests

Google's Gemini 4 Argon model achieved a score of 97.5% on the ARC-AGI-3 benchmark when utilizing the provider's API functions. However, in a standard testing environment, its performance dropped significantly to 49.8%. Epoch AI's analysis places the model near the top tier, though it shows weaker performance in mathematics and programming tasks. AI

IMPACT Performance variations in benchmarks highlight the importance of testing environments for LLMs.

RANK_REASON Benchmark results for an AI model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

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

Gemini 4 Argon benchmark results show significant performance drop in standard tests

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12 / 100
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Tool
Benchmark results for an AI model. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, other
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 Polski(PL) · aisight ·

    Gemini 4 Argon achieved 97.5% in the ARC-AGI-3 benchmark test using the provider's API functions, but in a standard environment its score dropped to 49.8

    Gemini 4 Argon osiągnął 97,5 proc. w benchmarku ARC-AGI-3 w teście wykorzystującym funkcje API dostawcy, lecz w standardowym środowisku jego wynik spadł do 49,8 proc. Zestawienie Epoch AI plasuje model blisko czołówki, ale ze słabszymi pozycjami w matematyce i programowaniu. # si…