Alan · Building MetaChat

Co-founder @MetaChatAI_Intl · Building the all-in-one AI platform · 90+ models, one account · Ship Fast

[Alan · Building MetaChat @metachatalan]

amazing

[John @johnAGI168]

Seedance 已经走得太快太远了，感觉其他模型已经无法追赶其脚步了！

Seedance 2.5 能够直出 30 秒视频，参考素材可以达到恐怖 50 个，这次真的是遥遥领先遥遥领先🥇

Seedance 2.0 原生直出 4k 测试，细节直接拉满，好就是贵贵就是好😄

prompt 👇

【风格】国家地理自然纪录片（National Geographic Wildlife Documentary），IMAX电影画质，4K超清，真实摄影（Photorealistic），高帧率升格慢动作
【时长】10秒
【场景】海拔4500米的雪山岩壁，灰白碎石坡上薄雪覆盖，背景是青灰色的连绵山脊，天空阴沉，雪粒在风中横飞
[00:00-00:04] 镜头1：潜伏（Telephoto Close-Up, 600mm）
超长焦特写：一只雪豹趴在岩石后方，只露出半张脸和前爪。风吹动它脸颊两侧蓬松的灰白长毛，每一根毛尖带冰晶。琥珀色虹膜中瞳孔猛地收缩——它锁定了猎物。前爪无声地收紧，爪垫上粗糙的肉垫纹理清晰可见。
[00:04-00:07] 镜头2：爆发（High-Speed Tracking, 240fps Super Slow-mo）
侧面高速跟拍：雪豹从岩石后弹射而出，四肢完全伸展成一条直线，脊椎弯弓蓄力。后腿蹬踏岩面的瞬间，碎石和雪末被踢成扇形飞散。升格慢动作捕捉：尾巴像一条粗绳在空中画弧维持平衡，腹部的白色长毛在气流中翻卷。
[00:07-00:10] 镜头3：一击（Extreme Close-Up, Macro Lens）
极端特写：雪豹前爪拍击地面的瞬间，五指张开，弯曲的黑色利爪刺入薄雪层，溅起细碎的冰晶粒子在镜头前飞过（浅景深虚化）。定格在爪尖没入雪面的一帧，能看到爪钩弧度上反射的冷光。

[Alan · Building MetaChat @metachatalan]

This is exactly why we built MetaChat AI: one place to explore the best AI image + video models without jumping between platforms.

From GPT-Image2 to Seedance 2.0, turn tiny sensory ideas into full visual stories.

Try it at https://t.co/TAQzDZMu98 🍓☀️
#AIArt #AIVideo #Seedance #GPTImage

[GenAI Lab @metachatai]

I’m honestly blown away by how Seedance handled the textures here. 🧶

Keeping Maya’s character consistent with such intense wool physics was a challenge, but GPT-image2 nailed the Pixar vibe. Seedance 2.0 did the heavy lifting on that fluff! 🌈☁️

[Alan · Building MetaChat @metachatalan]

his is what happens when you give a creative mind access to the right tools 🍓

GPT-Image2 + Seedance 2.0 — both available on MetaChat.

One platform. Every model you need to make stuff like this.

👉 https://t.co/HrTXaglyMb

#AIArt #Seedance #GPTImage

[GenAI Lab @metachatai]

AI Healing Professions | Ep.9: The Summer Jam Alchemist 🍓☀️

The brightest episode yet—no shadows, just pure summer joy.

Key Formula:

🎧 Audio: ASMR (Bubbling jam - Jar popping)
✨ Lighting: Overexposed summer sun

Tools: GPT-Image2 + Seedance 2.0
#AIVideo #Pixar #Seedance

[GenAI Lab @metachatai]

Still obsessed with the lighting here.

GPT-image2 blended the golden hour sun and neon reflections perfectly. The physics on the needle drop via Seedance 2.0 is just chef’s kiss. Those tiny details make the nostalgia so real. 📽️

Model: GPT-image2 | Anim: Seedance 2.0mini

[Alan · Building MetaChat @metachatalan]

This is a big hint at where AI infrastructure is going.

The real value is not only giving users access to hundreds of models, but learning which model fits which task from real-world usage.

We need an automatic model distribution layer:
task → constraints → best model route → explainable result.

[OpenRouter @OpenRouter]

Introducing the Fusion API, the smartest compound model in the market.

Fusion achieves Fable-level intelligence at half the price.

How it works 👇

[Alan · Building MetaChat @metachatalan]

New Sota...

[Arena.ai @arena]

Exciting news: Gemini Omni Flash is now #1 in the Video Arena (both Text-to-Video and Image-to-Video)!

For Text-to-Video this is a massive +158 pt improvement over Veo 3.1 (1080p) and a large +61 pt lead over the next best model, Seedance 2.0.

Congrats @GoogleDeepMind for this huge milestone!

[Alan · Building MetaChat @metachatalan]

This is exactly why we need an automatic model distribution layer.

Right now, power users are manually routing tasks:
one model for planning and visual judgment,
another for backend implementation,
another for long-running execution or unused quota.

That works, but it shouldn’t be manual.

The system should understand the task, choose the right model, and optimize for quality, cost, and available capacity automatically.

[Vox @Voxyz_ai]

fable 5 burns tokens fast but write the prompt like this and it's totally workable.

"to save tokens, keep this main session (fable 5) on planning and frontend tasks, its visual output and ideas are worth the price. for backend and heavier implementation, write a clear spec and dispatch to codex (gpt-5.5 xhigh) with /goal to execute, my quota there sits unused anyway. you may keep the hardest parts in this session."

a frontend design prompt i've been testing that works well:

redesign {your page, e.g. pricing page} for this project. full creative freedom, but it has to be visually striking and interactive, with motion effects and a hidden easter egg. search 2026 design trends first and use them.

[Alan · Building MetaChat @metachatalan]

WoW, Model providers are racing to release new versions, and users are overwhelmed by choices again.

[Max For AI @MaxForAI]

本月结束前我们会看到的新模型清单⬇️

已确认✅
@Zai_org GLM5.2（据说非常不错，1M上下文，多模态）
@OpenAI GPT-5.6（已经确认了checkpoint，也许会是Fable的低价平替）
@GeminiApp Gemini Omni（全新的checkpoint，在Sora关闭、Seedance2.0高昂API价格下，这是非常不错的选择）
@MiniMax_AI M3的开源权重与代码（M3是一个被低估的模型，在很多方面其实是个非常有性价比的选择）

可能发布❓
@Kimi_Moonshot K3
@deepseek_ai V4.1

[Alan · Building MetaChat @metachatalan]

Don't expect one model to win everywhere~

that's why we build metachat.

https://t.co/kWKw42lm1s

[宝玉 @dotey]

你不能指望一个模型在什么地方都是最强的，要像渣男一样才能用好 AI：去爱很多模型，去发掘他们的优秀点，东食西宿，组合着用

Opus 4.8 在写作不太行，但是在 UI 设计，UI 实现比 GPT-5.5 要好很多，推荐你多用用 Claude Design，然后把 Claude Design 设计好的结果分别给 GPT-5.5 和 Opus 4.8 去实现一下看看差异。

然后系统设计和计划方面，质量也是很高的，一个复杂一点任务通常要先做 Plan、做系统设计，这方面 Opus 4.8 也是非常好的。

另外和你用的 Agent 有关系，每个模型都有自己的特性，需要重新设计提示词反复调优，如果你在 Claude Code 和 Cursor 里面用 Opus 4.8，除了写作，其他任务的效果是没有什么问题的。

[Alan · Building MetaChat @metachatalan]

😂

[Zara Zhang @zarazhangrui]

It seems like most startups in San Francisco are selling products to each other

When I ask founders who their target audience is, 90% of the time it's "engineering and product teams, AI-native startups"

Feels like the same small group of target audience is being bombarded with a million products, whereas very few people are building for the 99% of the world

[Alan · Building MetaChat @metachatalan]

Fable 5 ranked #1

[Arena.ai @arena]

Claude Fable 5 ranks #1 in Code Arena: Frontend, leading by a wide margin over Opus-4.8.

Highlights:
- #1 in every sub leaderboard: HTML, React
- #1 in every sub category: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Gaming, Simulations, and Content Creation Tools.

Huge congrats to @AnthropicAI for this milestone! The thread breaks down how Claude Fable 5 ranks across single-modality arenas.

[Alan · Building MetaChat @metachatalan]

Just dropped: Claude Fable 5 on MetaChat ⚡

The most capable Claude model ever released to the public — now accessible

[MetaChat AI Official @MetaChatAI_Intl]

Claude Fable 5 is now live on MetaChat 🚀

Anthropic's first Mythos-class model for the public — and it's a leap:
• Stripe compressed months of engineering into a single day
• #1 on finance reasoning, vision tasks & production-grade coding benchmarks
• Runs longer, more autonomously than any Claude before it

Available now → https://t.co/uikmEclnje

[Alan · Building MetaChat @metachatalan]

Exactly. This is why we keep saying: the newest or most expensive model is not always the right model.

The real challenge is matching the best model to each specific task, not forcing every problem through one supposedly “most powerful” model.

AI’s future is model selection, not model worship.

[Citrini @citrini]

I think we’ve reached the point where normal people can’t really determine whether new models are better than previous ones. Like Fable doesn’t seem that much better to me, but every 150 IQ person I know is like “wow the singularity came sooner than I thought”.

[Alan · Building MetaChat @metachatalan]

WoW！

[Deedy @deedydas]

Claude Fable 5 is by far the most ridiculous model that makes me genuinely afraid for the future of software engineering.

I compiled the top 10 most unbelievable things I've seen Claude Fable 5 do today:

— Migrate a 50M line codebase from Stripe in a day (humans take 2mos)
— Draw amazing 3D graphics a) Boeing 747 b) space simulations with >5000 objects c) Minecraft roller coasters d) full photorealistic forest scenes e) NYC skyline f) stormy clouds)
— One-shot Pokemon FireRed the game
— Optimize a real world proprietary interaction net evaluator 10x more than the next best model, gpt5.5

AND it's about the same price as GPT 5.5 ($10/M input, $45/M output) vs Fable 5 ($10/M input, $50/M output) and 6x cheaper than GPT 5.5 Pro.

[Alan · Building MetaChat @metachatalan]

The future of AI creativity will not be made by one model doing every task.

For this 12s ASMR piece, we combined GPT-Image2 for visual texture and Seedance 2.0 for motion.

AI Healing Professions | Ep.7: The Sound Sculptor 🎧

Made on MetaChat.

[GenAI Lab @metachatai]

AI Healing Professions | Ep.7: The Sound Sculptor 🎧

A 12s sensory ASMR journey.

Key Formula:
🎧 Audio: Pure ASMR (Raindrops - Crystal Bowls - Deep Breaths)

🔍 Texture: Rippling water + Vibrating crystal + Soft silver hair

Tools: GPT-Image2 + Seedance 2.0

#AIVideo #Pixar

[Alan · Building MetaChat @metachatalan]

The future of AI will not be built by one model doing every task.

[MetaChat AI Official @MetaChatAI_Intl]

🔥The Rise of Multi Model AI Platforms: Why MetaChat Is the All-in-One Solution You Need in 2026

🙌MetaChat Description: Discover how MetaChat — the leading multi model AI platform — gives you instant access to 30+ AI models including ChatGPT, Claude, Gemini, Grok, Midjourney, and more from a single unified workspace.

https://t.co/cNdvB4LEn3

[Alan · Building MetaChat @metachatalan]

New model drop on MetaChat 🚀

Grok Imagine Image Quality and Grok Imagine Video 1.5 are now live.

Create sharper images, generate videos, compare outputs, and find the right model for each creative task — all in one AI workspace.

Try them on MetaChat today:
https://t.co/e1xR22EZqR

#Grok #AIImage #AIVideo #MetaChat

[Alan · Building MetaChat @metachatalan]

This is why we built MetaChat — to give users a one-stop platform where they can seamlessly switch between different AI models to get their work done.

[宝玉 @dotey]

如果有条件的话，选你能用的上的最聪明的 2-3 个就够了。只有你很在乎成本的情况下或者要做一些研究工作，才需要去使用其他便宜些的模型。

再聪明的模型一个也不够，因为不够稳定和全面，比如最近 GPT-5.5 就不如 Opus 4.8 稳定，甚至写东西还得退回 Opus 4.6。翻译我还是最喜欢 Gemini 3.1 Pro 的版本。画图选 GPT Image 2。

就算 Opus 4.8 不错，复杂一点任务我也会让 GPT-5.5 同时出个方案，对比一下，并不总是 Opus 的方案更好。

Token 贵的省时间，时间比 Token 还贵！