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Anthropic models may be faster than DeepSeek-Flash, depending on the measure

A user notes curiously long API time to first token for Anthropic's models despite that speed comparison.

Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)T(
2 Sources, 1h ago, first seen 1h ago

TLDR

A user says Anthropic's models are faster than DeepSeek-Flash depending on how speed is measured, but notes a curiously long API time to first token. They speculate that screening or rewriting and delayed token streaming could explain the lag and might also hide batching.

Combined views

4.5K

2 Sources, first seen 1h ago

41 likes9 comments3 saves

Combined views

4.5K

2 Sources, first seen 1h ago

41 likes9 comments3 saves

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2 Sources

Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTexDepending on how you measure, Anthropic's models are *faster* than DeepSeek-Flash now. They have curiously long TTFT on API, though. (I guess this is complete bullshit and they're doing screening/rewriting and then stream tokens with delay? Might also help them hide batching)1h
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    2 Sources

    Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTexDepending on how you measure, Anthropic's models are *faster* than DeepSeek-Flash now. They have curiously long TTFT on API, though. (I guess this is complete bullshit and they're doing screening/rewriting and then stream tokens with delay? Might also help them hide batching)1h
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