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Celeris 1 has taken the top speed slot among comparable nonreasoning models in Artificial Analysis' current benchmark, generating 2,157.9 output tokens per second. The result gives founders Tom Hamer and Jesse Clark an independent data point for their bet that diffusion can make language models fast enough to sit inside voice interfaces, coding tools and multi step agent loops. Celeris said in an August 4th thread on X that an earlier benchmark snapshot measured Celeris 1 at 2,038 output toke...