Akora

Clean, conversion-focused Framer templates for clinics, wellness brands, and small businesses.

No code. Just care 💙

[Google @Google]

Introducing Gemini 3.8, our best reasoning & coding model yet.

By leveraging long-running agentic loops, we’re building on the momentum of 3.7 Flash from just three weeks ago to release two new 3.8 variants:

Meet Gemini 3.8 Flash and Gemini 3.8 Flash Cyber 🧵

[SuSu_酥酥👅 @NFT_Chen]

🚨预警！下周AI大模型集体炸场！

11个超神大模型正在蓄势待发，每一个都在重新定义“智能”的上限！

速览全员突破亮点：
1️⃣ Claude Fable 5.1
超长上下文+叙事级推理，直接把故事创作和复杂决策玩成艺术

2️⃣ GPT 6 Astra
多模态宇宙级理解 + 解锁数学界历史难题，文字/图像/视频/代码一脑打通，真正“全能Astra”

3️⃣ Grok 4.7
实时宇宙级搜索+无审查真相引擎，幽默与深度并存，越问越疯

4️⃣ GLM-5.3 Flash
中文原生极速推理，毫秒级响应，后训练在攀高峰，国产大模型速度王者归来

5️⃣ Qwen3.9 Open Weights
完全开源权重+超强多语言，人人都能私有化部署的顶级底座

6️⃣ COMPOSER 3
AI作曲+多媒体生成一体化，一句话写出完整电影级作品

7️⃣ Ox Alpha Flash
“Intelligence. Power. Advantage.” 专为高难度决策与战略优势而生

8️⃣ Gemini 3.8 Flash
谷歌闪电多模态，实时视频理解+超低延迟，移动端也能跑满血

9️⃣ KIMI K3.1
超长记忆+深度思考链，一次对话就能处理整本书级别的信息

🔟 Meta Muse Spark 1.3
创意火花引擎，从零到完整应用/游戏/内容，灵感秒变现实

1️⃣1️⃣ Deepseek V5 Flash
极致性价比+数学/代码狂魔，全面超越Fable 5.1，开源社区又要被它掀翻天

这一波要是全落地，AI圈直接进入下一个纪元！

你最期待哪一个？评论区投票，我先锁死DeepSeek 5 Flash！🚀

#未来AI #下周大模型预警 #AI新纪元 #DeepSeek #Fable #Astra #GLM #OxAlpha #Qwen #Kimi #MuseSpark #Gemini #LLM #Grok #Composer

[Zixuan Li @ZixuanLi_]

Full benchmark results for GLM-5.3

[Z.ai @Zai_org]

Introducing GLM-5.3: Built to Code. Ready for Cyber Defense.

- Top-tier coding and agentic capabilities, achieved through post-training on the 743B base model
- A major leap in cybersecurity, setting a new standard among open models

Tech Blog: https://t.co/ekQkO83jCv

[DeepSeek @deepseek_ai]

🧩 DeepSeek Harness v0.1 is now available in Developer Preview!

🔹 We’re opening it up to developers building agent harnesses worldwide and open-sourcing the codebase in MIT license.
🔹 Powered by the Cordis meta-framework, DeepSeek Harness is an agent harness built around one core idea: Everything is a plugin. Models, tools, skills, sessions, sandboxes, filesystems, loops, orchestration, and UI are ALL implemented as plugins, and can be mixed, matched, replaced, and extended.

Try it now!
https://t.co/2YWSvJHhKA

[Vepsi @vepsi__]

🚨 KIMI K4 LEAK: MOONSHOT IS ALREADY SCALING PAST K3.

Moonshot is reportedly already preparing something significantly larger.

• Moonshot is reportedly seeking more NVIDIA Blackwell capacity for K4 training

• Internal references to K4 have already surfaced

• New MoonEP infrastructure appears designed for scaling larger MoE systems

• Some reports speculate 5–6T parameters, but that's still unconfirmed

👀 Vepsi's Bet: 75% chance K4 ends up substantially larger than K3.

🧠 Reason: The Blackwell push and new infrastructure are stronger evidence than the speculative parameter number.

K3 barely arrived and Moonshot is already cooking K4.

[Qwen @Alibaba_Qwen]

📢Meet Qwen3.8-Max — our most capable model to date.

Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉

Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters:

- Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub：https://t.co/iVHZWQoeSo
- Real work, real results: Production-quality deliverables across hundreds of professions.
- Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy.
- Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction.

💰Pricing:
Input: $2.0 / M tokens
Output: $6.0 / M tokens
Implicit Caching: $0.25 / M tokens

Start building with Qwen3.8-Max! 🚀

📖 Blog: https://t.co/iwjmQxLBof
✅ Qwen Studio: https://t.co/4V2pFvDovG
⚡ API: https://t.co/gAGqaLQGbN

[Kimi.ai @Kimi_Moonshot]

Releasing the model weights and technical report of Kimi K3.

Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.

New model architecture: 2.5x the intelligence per unit of compute, not just more params.

Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.

Model weights: https://t.co/7m7eEg6Y0B
Tech report: https://t.co/yeu6cjpMCT
Tech blog: https://t.co/YTfiMSNM1f

[Claude @claudeai]

Introducing Claude Opus 5.

It's a thoughtful and proactive model that comes close to the frontier intelligence of Fable 5 at half the price.

[Qwen @Alibaba_Qwen]

Qwen3.8 is launching and going open-weight soon!🌐

With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5.

You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibaba’s Token Plan, Qoder, and QoderWork. Be among the very first to try it out.

Can't wait to hear what you build. Stay tuned! 🚀 

Token Plan
international：https://t.co/YRvcGdB9Bv
China：https://t.co/PKMUNwUuRp

[Kimi.ai @Kimi_Moonshot]

Introducing Kimi K3: Open Frontier Intelligence

🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal
🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts
🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost
🔹 Built for long-horizon agentic coding and self-evolving workflows

Kimi K3 is now live on on https://t.co/zrk6zZxZUo, Kimi Work, Kimi Code, and the Kimi API.
Open Weights by July 27, 2026.

🔗 API: https://t.co/XCrgjXAqMw
🔗 Tech blog: https://t.co/YTfiMSNM1f

[Kimi.ai @Kimi_Moonshot]

Meet Kimi K3

[ClaudeDevs @ClaudeDevs]

Artifacts in Claude Code are now also available on Pro and Max plans.

Ask for an artifact, Claude writes the code, publishes it live to claude.a‍i, and updates it in real time while it keeps working. Pages are private to your account and fully self-contained.

[Z.ai @Zai_org]

Introducing GLM-5.2: Frontier Intelligence, Open Weights

- Significant improvements in coding and agentic tasks
- Strong long-horizon capabilities with a 1M context window
- Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency
- MIT-licensed open weights
- Same API pricing as GLM-5.1

Tech Blog: https://t.co/LAsxUdN0JZ
Weights: https://t.co/g0A1C4UWx4
API: https://t.co/Kc3E22cbN7
Coding Plan: https://t.co/Nk8Y98HNhU
Chat: https://t.co/WCqWT0qCQb

[Claude @claudeai]

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.

[Claude @claudeai]

Fable 5 is state-of-the-art on nearly all tested benchmarks, with exceptional performance in software engineering, knowledge work, scientific research, and vision.

The longer and more complex the task, the larger Fable 5’s lead over our other models.

[BridgeMind @bridgemindai]

I hit my usage limits on my $200/month Claude Max subscription in less than 30 minutes using Claude Fable 5.

[MiniMax (official) @MiniMax_AI]

Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities

- Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas
- MiniMax Sparse Attention scales context to 1M
- Natively Multimodal from Step Zero

API: https://t.co/fHRdSV7BwZ
Token Plan: https://t.co/BDCycxepZw
🚀New! MiniMax Code: https://t.co/GvB4YiB6Ul

Weights & Tech Report in ~10 Days

[Claude @claudeai]

Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.

Available today at the same price.

[Qwen @Alibaba_Qwen]

🚀🚀Qwen3.7 Preview lands on Arena ！

Here come Qwen3.7-Max-Preview &amp; Qwen3.7-Plus-Preview. Alibaba now #6 lab in Text, #5 in Vision.⚡️⚡️

Can't wait to release Qwen3.7 series models！Stay tuned! @arena