How many AI large models has GateRouter integrated? The latest data as of April 2026

As a major move by the crypto exchange Gate in the AI space, GateRouter has rapidly become a focal point for Web3 developers since its launch in March 2026. One of the most frequently asked questions is: how many AI large models does GateRouter actually integrate?

As of April 7, 2026, GateRouter has officially integrated more than 20 mainstream AI large models, covering major global AI vendors such as OpenAI, Anthropic, Google, xAI, and DeepSeek.

Official Data: 20+ Mainstream Large Models

According to Gate’s official news and reports from multiple industry media outlets (such as PANews and Muck Rack), GateRouter currently integrates more than 20 mainstream AI large models. Developers can call models from the following vendors through a single unified API interface at the same time:

• OpenAI: GPT-4, GPT-4 Turbo, GPT-3.5 Turbo, etc.
• Anthropic: the Claude series (Claude 3 Opus, Sonnet, Haiku)
• Google: Gemini 1.5 Pro, Gemini 1.5 Flash
• xAI: Grok-1, Grok-2
• DeepSeek: DeepSeek-V3, DeepSeek-R1 (domestically produced high-performance inference model)
• Moonshot (Moonshot) : the Kimi series
• Qwen (Qwen) : the Qwen 2.5 series

The above are only some representative examples. GateRouter’s model pool is still continuously expanding, and the company’s official plan is to integrate more than 50 models within 2026.

GateRouter’s Three Core Highlights

Why are developers in the crypto industry so interested in GateRouter? Besides the large number of models, more importantly, it has the following three features.

Unified API

GateRouter is compatible with the OpenAI SDK format. If you have already written code to call GPT-4, you almost don’t need any changes—just swap the API address and Key, and you can complete integration in 30 seconds. The platform also provides a developer console (API Key management, usage analytics) and an online Playground, supporting real-time comparisons of different models’ performance and costs.

Smart Routing

This is GateRouter’s most core differentiating capability. The system automatically analyzes the complexity of your task, then selects the most suitable model:

• Simple tasks (such as greetings, weather queries) → lightweight models, with Token consumption of only 7.1% of GPT-4, reducing costs by 92.9%
• Complex tasks (such as a 5,000-word contract risk assessment) → high-performance flagship models, but the actual spending is only 20% of the cost of directly calling a flagship model

Considering all tasks together, compared with using only GPT-4-class models, GateRouter can reduce AI inference costs by 80%+ on average.

Web3-Native Payments

This is the fundamental difference between GateRouter and all Web2 AI aggregation tools. The traditional model requires linking a credit card or preloading funds—essentially a “human-centered” payment logic. GateRouter integrates the x402 payment protocol and supports charging directly from your USDT balance via Gate Pay. This means an AI Agent can autonomously complete payments, truly realizing an economic closed loop for Machine-to-Machine.

GateRouter’s Role in Gate’s AI Ecosystem

GateRouter is not an isolated product; it is the model integration layer of Gate’s overall AI strategy, “Gate for AI.” On March 5, 2026, Gate launched Gate for AI’s unified capability-calling interface, protocolizing and packaging the core capabilities of a centralized exchange (CEX) and on-chain trading (DEX). It opened up five capability domains:

• CEX trading
• DEX trading
• Wallet signing
• Real-time information
• On-chain data

On top of this, GateRouter provides a “brain”—an AI Agent calls the most suitable large model via GateRouter for inference, and then uses Gate for AI’s five capability domains to execute trades, retrieve data, and complete signing, forming a complete “think—decide—execute” closed loop.

In addition, Gate also launched:

• GateClaw (Blue Dragon Lobster): a free Web3 AI agent platform, offering assistance for trading, research, and market analysis
• AI no-code quant trading platform: generates trading strategies with natural language, supporting historical backtesting and one-click live deployment
• AI Bot Pro trading bot: an AI-driven advanced intelligent trading engine with a zero-code entry barrier

Summary

As of April 7, 2026, GateRouter has integrated more than 20 mainstream AI large models, covering industry-leading models such as OpenAI GPT, Claude, Gemini, DeepSeek, Kimi, and Qwen. With unified API and smart routing mechanisms, developers can gain multi-model access within 30 seconds while reducing inference costs by 80%. The introduction of a Web3-native payment layer also gives AI Agents autonomous payment capabilities for the first time, laying the groundwork for the “Agent economy” as infrastructure.

For quant teams, DApp developers, and Web3 Builders in the crypto industry, GateRouter is an AI infrastructure tool well worth close attention. As Gate continues to deepen its work in AI + Crypto, GateRouter’s model ecosystem will continue to expand rapidly.