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    Announcement

    Celeris-1 Decision model launches with a claimed 67ms median response time

    The launch post says Celeris-1 Decision scored 80% on Jev-Bench, 7% higher than Jev 1.13.0.

    2 Sources, 3h ago, first seen 3h ago

    TLDR

    The launch post describes Celeris-1 Decision as a multimodal diffusion decision model that can explain its decisions. It claims a 67ms median response time and lists a price of $0.04 per million input tokens, with no charge for output tokens. A separate post claims Perplexity Decider ranks first on DecisionBench at the lowest cost. In a reply, the Celeris launch poster claims its model is cheaper and scored higher on intelligence and speed on JevBench.

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    2 Sources, first seen 3h ago

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    2 Sources, first seen 3h ago

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    2 Sources

    Tom Hamer@tom_w_hamerExcited to launch Celeris-1-decision, a multimodal diffusion decision model, which scores accuracy of 80% on Jev-Bench, 7% higher than Jev 1.13.0. It has improved latency relative to Jev, with a median response time of 67ms. We tested Celeris-1-decision against 4 models, including Jev, Luna, Perplexity and Mercury Decide, and Celeris-1-decision came out ahead of all of them on Jev Bench. Finally - it supports explanations, which means you not only get a decision back but also an explanation of why it chose that option. Available at http://celeris.ai, $0.04 per million input tokens, $0 for output tokens.3h

    2 Sources

    Tom Hamer@tom_w_hamerExcited to launch Celeris-1-decision, a multimodal diffusion decision model, which scores accuracy of 80% on Jev-Bench, 7% higher than Jev 1.13.0. It has improved latency relative to Jev, with a median response time of 67ms. We tested Celeris-1-decision against 4 models, including Jev, Luna, Perplexity and Mercury Decide, and Celeris-1-decision came out ahead of all of them on Jev Bench. Finally - it supports explanations, which means you not only get a decision back but also an explanation of why it chose that option. Available at http://celeris.ai, $0.04 per million input tokens, $0 for output tokens.3h
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