Grok model reached multiple top rankings as of January 1, 2026. The model dominated OpenRouter leaderboard with 427 billion weekly tokens processed, commanding 34.1% of total category token share. Linguistic capability demonstrates strong performance across languages, generating 175 billion tokens with 14.5% share in this segment. Programming-specific benchmarks show 25.9 billion tokens executed. Performance validation comes from EQ-Bench3 evaluation, where Grok achieved a score of 1586, securing the top position. These metrics indicate significant advancement in model efficiency and cross-domain capability, particularly notable for handling complex linguistic and technical tasks simultaneously. The concentration of dominance across multiple leaderboard categories suggests robust optimization across diverse workloads.
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POAPlectionist
· 4h ago
grok, this data is a bit outrageous, 42.7 billion tokens in a week? Really... But if that's true, then that's really impressive.
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wagmi_eventually
· 5h ago
Grok has really taken off, and these numbers are a bit shocking... 42.7 billion weekly tokens? That's unbelievable.
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DegenTherapist
· 5h ago
Grok's data is incredible, 42.7 billion tokens in a week? That's directly crushing other models... By the way, if that's true, the landscape of the AI field will be reshuffled again.
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TokenTherapist
· 5h ago
Grok's move is a direct crush, with 42.7 billion tokens completed in just one week. It's really outrageous... This data is a bit exaggerated, isn't it? It feels like the OpenRouter leaderboard needs to be updated.
Grok model reached multiple top rankings as of January 1, 2026. The model dominated OpenRouter leaderboard with 427 billion weekly tokens processed, commanding 34.1% of total category token share. Linguistic capability demonstrates strong performance across languages, generating 175 billion tokens with 14.5% share in this segment. Programming-specific benchmarks show 25.9 billion tokens executed. Performance validation comes from EQ-Bench3 evaluation, where Grok achieved a score of 1586, securing the top position. These metrics indicate significant advancement in model efficiency and cross-domain capability, particularly notable for handling complex linguistic and technical tasks simultaneously. The concentration of dominance across multiple leaderboard categories suggests robust optimization across diverse workloads.