Kimi K3 vs Opus 4.8 vs GPT-5.6 Sol One Fruit Ninja prompt. One generation per model. Claude Opus 4.8：3m46s · $0.554 GPT-5.6 Sol ：12m01s · $0.392 Kimi K3 ： 42m21s · $1.131 K3 used ~77K tokens, including ~54K reasoning tokens. This is only one sample, primarily visual…

Use it now⬇️ aihubmix.com/model/kimi-k3 Link kimi-k3 - API Pricing & Performance | AIHubMix Kimi K3 is Kimi’s flagship model for long-horizon coding and… $3 per million input tokens, $15 per million output tokens. aihubmix.com

🚀 Kimi K3 is now live on AiHubMix. @Kimi_Moonshot AI's most capable model yet: 2.8T params, built on Kimi Delta Attention and Attention Residuals. -1M token context -Native multimodal (text + image → text) -Built for agentic coding, tool use & debugging across huge…

gpt-4o-transcribe-diarize: An automatic speech recognition (ASR) model with built-in speaker diarization, meaning it associates audio segments with different speakers in a conversation. This model is only available in the Transcription API. Use it…

gpt-audio-1.5: OpenAI’s first generally available audio model. It accepts audio inputs and outputs, and can be used in the Chat Completions REST API. Use it now: aihubmix.com/model/gpt-audio… Link AIHubMix - One Interface, Router All LLMs Access every major LLM through a…