Celeris-1 tops AI speed ranking at 2,158 tokens per second
Tom Hamer and Jesse Clark's diffusion model pairs a top throughput score with a 12 on Artificial Analysis' Intelligence Index.
By Ryan Merket · Published
Primary source: X - Celeris
Why it matters
Independent speed leadership gives diffusion language models a concrete commercial proof point. Celeris still has to show that the advantage survives production workloads without widening the intelligence gap.
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.…
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