Which AI models should Gatewayz support next?
We’re constantly expanding access across the AI ecosystem and want to hear directly from builders.
What’s missing? What are you using? What should we add?
Drop a comment below 👇
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Gatewayz AI
615 posts
Gatewayz AI
@GatewayzAI
Intelligent routing across every single AI model (GPT, Claude, Gemini, Deepseek, Hugging Face, etc). Deterministic, secure, enterprise-ready.
Katılım Ocak 2026
95 Takip Edilen65 Takipçiler
The best AI model today might not be the best AI model next week.
That’s the problem with building around one provider.
Gatewayz gives developers one unified API to access and route across models as the landscape changes.
Don’t lock in
Build flexibly
gatewayz.ai
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Everyone is asking AI to predict the World Cup.
We're more interested in seeing which model gets it right.
Claude. GPT. DeepSeek. Kimi. GLM. Qwen. MiniMax.
Let the predictions begin. ⚽🤖
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Try GPT-5.6 and thousands of other models on Gatewayz.
Compare outputs, optimize cost, and build with the model that fits your workflow.
beta.gatewayz.ai
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GPT-5.6 launching with Sol, Terra, and Luna is a smart reminder that AI is no longer one-size-fits-all.
Some workloads need flagship performance.
Some need balance.
Some need speed and lower cost.
The best model depends on the task.
OpenRouter@OpenRouter
GPT-5.6 is live on OpenRouter! Sol (flagship), Terra (balanced), and Luna (fast + low-cost). In our early testing, the 5.6 models were more token efficient, leading to lower cost and faster time to task completion. AA's results agree. More on Sol, Terra, and Luna below 🧵
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Compare predictions across thousands of AI models on Gatewayz.
Start for free: beta.gatewayz.ai
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Try the same prompt across different models and compare the results.
Which model are you backing to make the most accurate World Cup prediction?
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Access Claude Sonnet 5 and thousands of other AI models through Gatewayz's unified inference layer.
beta.gatewayz.ai
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Claude Sonnet continues to set the pace for what developers expect from a general-purpose AI model.
Planning, tool use, browser interaction, and autonomous execution are quickly becoming standard capabilities across the industry.
Claude@claudeai
Introducing Claude Sonnet 5, our most agentic Sonnet yet. It makes plans, uses tools like browsers and terminals, and runs autonomously at a level that just a few months ago required larger and more expensive models.
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Start with free credits, then upgrade to the Starter plan for just $35/month.
gatewayz.ai/pricing
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Access 10,000+ AI models for less than the cost of a single premium model subscription.
One unified inference layer. Smart cost optimization. Basic analytics.
Built for developers who want flexibility without the complexity.
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Access the latest frontier models through Gatewayz's unified inference layer and stay ahead as the AI ecosystem continues to evolve.
beta.gatewayz.ai
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This is exactly why we built Gatewayz.
AI capabilities are evolving faster than ever. From better reasoning to models that can understand and simulate entire environments.
The challenge isn't keeping up with one model. It's having access to the entire ecosystem as it evolves.
Qwen@Alibaba_Qwen
📣📣 Meet Qwen-AgentWorld — a native language world model that simulates 7 agent environments (MCP, Search, Terminal, SWE, Web, OS, Android) within a single model. Environment modeling is the training objective from day one, not a post-hoc adaptation. 🤔 LLMs are trained to be better agents — better at acting in environments. But nobody has trained them to model the environments themselves. 🗺️ Our roadmap: investigate how language world modeling can push the boundaries of general agent capabilities, along two routes: 1️⃣ Build a foundation model for environment simulation — outperforming Claude Opus 4.8 and GPT-5.4 on AgentWorldBench 2️⃣ Investigate how world modeling enhances agent training: 🔬 Controllable Sim RL (agentic RL with LWM as environments) surpasses training in real environments 🧠 Learning to predict environments (LWM warm-up) makes agents stronger — remarkably, even without any agent-specific training, this predictive knowledge transfers to agentic tasks with zero fine-tuning 📑 Paper: arxiv.org/abs/2606.24597 📖 Blog: qwen.ai/blog?id=qwen-a… 💻 GitHub: github.com/QwenLM/Qwen-Ag… 🤗 HuggingFace: huggingface.co/collections/Qw… 🧩 ModelScope: modelscope.cn/collections/Qw…
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What's your favorite AI model?
Show us what you're building with it in the comments below 👇
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Every time someone says the frontier AI race is over, another model shows up and changes the narrative.
Competition is accelerating. Builders win.
Guillermo Rauch@rauchg
Genuinely impressed, almost shocked, at how good GLM-5.2 by @zai_org is at coding. This changes things.
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What's one feature you want to see on Gatewayz?
Let us know below 👇
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1M token context windows are quickly becoming the new battleground.
As coding agents take on longer and more complex workflows, maintaining reliability across massive contexts is becoming increasingly important.
GLM-5.2 is another step in that direction.
OpenRouter@OpenRouter
GLM-5.2 from @Zai_org is live on OpenRouter! Z.ai's flagship for long-horizon tasks, now with a 1M-token context window capable of being reliable across long, messy coding-agent work.
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