AIHubmix

Unified API for any LLM. 800+ models: GPT, Claude, Gemini, DeepSeek. One key, pay-as-you-go.

[AIHubmix @AiHubMix]

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 comparison.

[AIHubmix @AiHubMix]

@AIJC_nagahira @threejs 本当に素晴らしいです！フォローしました

[AIHubmix @AiHubMix]

@daniel_adg also takes longer, but the results are by far the best

[AIHubmix @AiHubMix]

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 comparison.

[AIHubmix @AiHubMix]

@gamann77 かわいいGeminiさん🥹

[AIHubmix @AiHubMix]

@qwazzic ya~

[AIHubmix @AiHubMix]

@feixuedieying @gamann77 🐡

[AIHubmix @AiHubMix]

@ArtificialAnlys @SpaceXAI At this pace, every Monday comes with a new “best model.” 😂

[AIHubmix @AiHubMix]

@ajs6888 lol

[AIHubmix @AiHubMix]

@jaimogamart2 @gimu_ai Definitely sub, APIs make the most sense for users who frequently switch between different models.

[AIHubmix @AiHubMix]

@xmgplus made a visual comparison for refer

https://t.co/SH0ZN3Qcqe

[AIHubmix @AiHubMix]

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 comparison.

[AIHubmix @AiHubMix]

@chongdashu super cute chong! How long did it take K3 to generate this?

[AIHubmix @AiHubMix]

@bozhou_ai here u go
https://t.co/SH0ZN3Qcqe

[AIHubmix @AiHubMix]

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 comparison.

[AIHubmix @AiHubMix]

@higgsfield_ai What does each of the two models cost?

[AIHubmix @AiHubMix]

Use it now⬇️

https://t.co/YgH4h2zv4F

[AIHubmix @AiHubMix]

🚀 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 repos
-$3 / $15 per 1M tokens

[AIHubmix @AiHubMix]

@viktoroddy @GoogleAIStudio @ChatGPTapp @Lovable @motionsitesai @higgsfield @claudeai Need a LLM API? 👀

[AIHubmix @AiHubMix]

@ChillaiKalan__ Were the sound effects also made with Seedance 2.0?

[AIHubmix @AiHubMix]

@n1ckstr3 Hey Nick, your benchmark work is excellent. I’d love to chat about that. Would you mind sending me a DM?

[AIHubmix @AiHubMix]

@viktoroddy nice taste dude