@OpenRouterMoondream 3 Preview and Moondream 3.1 from @moondreamai are now on OpenRouter, served by @PrimeIntellect Object detection and pointing work in plain chat: attach one image and start your message with /detect {"object":"coffee cup"} or /point {"object":"croissant"}
@vikhyatkMoondream 3 is (finally) on OpenRouter!
@PrimeIntellectMoondream 3 Preview and Moondream 3.1 are live on OpenRouter Small vision-language models (9B total, 2B active MoE): image + text in, 32K context, optional reasoning. $0.30/M input tokens $2.50/M output tokens@OpenRouterMoondream 3 Preview and Moondream 3.1 from @moondreamai are now on OpenRouter, served by @PrimeIntellect Object detection and pointing work in plain chat: attach one image and start your message with /detect {"object":"coffee cup"} or /point {"object":"croissant"}@vikhyatkMoondream 3 is (finally) on OpenRouter!@PrimeIntellectMoondream 3 Preview and Moondream 3.1 are live on OpenRouter Small vision-language models (9B total, 2B active MoE): image + text in, 32K context, optional reasoning. $0.30/M input tokens $2.50/M output tokens@OpenRouterMoondream 3 Preview and Moondream 3.1 from @moondreamai are now on OpenRouter, served by @PrimeIntellect Object detection and pointing work in plain chat: attach one image and start your message with /detect {"object":"coffee cup"} or /point {"object":"croissant"}@vikhyatkMoondream 3 is (finally) on OpenRouter!@PrimeIntellectMoondream 3 Preview and Moondream 3.1 are live on OpenRouter Small vision-language models (9B total, 2B active MoE): image + text in, 32K context, optional reasoning. $0.30/M input tokens $2.50/M output tokens@OpenRouterMoondream 3 Preview and Moondream 3.1 from @moondreamai are now on OpenRouter, served by @PrimeIntellect Object detection and pointing work in plain chat: attach one image and start your message with /detect {"object":"coffee cup"} or /point {"object":"croissant"}@vikhyatkMoondream 3 is (finally) on OpenRouter!@PrimeIntellectMoondream 3 Preview and Moondream 3.1 are live on OpenRouter Small vision-language models (9B total, 2B active MoE): image + text in, 32K context, optional reasoning. $0.30/M input tokens $2.50/M output tokens—
Not ranked yet
—
Not ranked yet
