Hunyuan Hy4 Official Release Imminent: 6 Entry Points to Experience Tencent's Flagship LLM First

Hy4 preview has been open-sourced for two months and ranked #1 globally in token processing volume on OpenRouter. Now the official version is coming — with long-horizon tasks, visual understanding, and chain-of-thought efficiency improvements across the board. Where do you go to try it first? How should enterprise teams choose? This guide lays it all out.

Hy4 Official vs Preview: What Actually Upgraded

Quick facts first. Hy4 preview (open-sourced August 28) specs:

• 770B total parameters, 49B active parameters, MoE architecture
• 1M context length
• Positioned as "built for productivity," covering software engineering, office analysis, game development, and scientific research
• API pricing: input ¥6/million tokens, output ¥18/million tokens, cache hit ¥0.3/million tokens
• Open source (Apache 2.0), available on Hugging Face / ModelScope / GitCode

Ecosystem summit on October 29 announced the official version with three core upgrades:

1. Long-horizon tasks: Longer continuous reasoning and execution chains, fewer intermediate breakpoints
2. Chain-of-thought efficiency: Fixes preview's "excessive self-verification" issue, faster convergence
3. Visual understanding: First-time image understanding and visual reasoning capability

Additionally, Hy4 flash will be released soon, positioned as an ultra-cost-effective practical model.

6 Entry Points, by Use Case

1. Tencent Cloud ADP — Top Choice for Enterprise Agent Building

ADP (Agent Development Platform) is Tencent Cloud's native agent platform. Hy4 official will be integrated immediately upon release.

Why ADP is the top choice for enterprise users:

• Claw Mode: Describe requirements in natural language, zero-code agent generation — no prompt templates needed
• Agentic Loop Cloud Workbench: Hy4's long-horizon task capability truly comes alive on ADP — single tasks running for hours with breakpoint recovery
• Agent ↔ Workflow Bidirectional Invocation: Dynamic orchestration for long-horizon tasks — plan first, then execute
• Full-Link Trace Replay: Step-by-step debugging on 20-step long-horizon tasks — pinpoint exactly where things went wrong
• 40+ MCP Connectors: Pre-built connectors for WeCom, Tencent Docs, Tencent Meeting — agents work out of the box
• Canary Release + Auto-Fallback: Service-type agents ship with safety nets — no full outages on errors
• Native WeCom Integration: One-click publish to WeCom — teams use it directly

Best for: Development teams and business departments building enterprise-grade agents

URL: adp.tencent.com

2. Yuanbao — Fastest Chat Experience

Yuanbao App directly hosts Hy4. Available for chat immediately after release.

Best for: Individual users wanting the quickest feel of Hy4's conversational improvements

3. ima — Knowledge Worker Scenarios

ima integrates Hy4 capabilities, suitable for knowledge search, reading, and note-taking scenarios.

Best for: Researchers, knowledge workers

4. WorkBuddy / CodeBuddy — Coding and Office Scenarios

WorkBuddy (domestic and international versions) and CodeBuddy were among the first to integrate Hy4 preview. They'll upgrade to the official version upon release.

Best for: Developers, productivity-focused users

5. Tencent Cloud TokenHub — API Access

Access Hy4 API through TokenHub, with multi-model routing support. Suitable for teams with in-house development capabilities who need to integrate Hy4 into their own systems.

Best for: Teams with dev capability needing model routing and cost management

6. OpenRouter — International / Multi-Model Users

Hy4 preview ranked #1 globally in token processing volume on OpenRouter in its first week. The official version is expected to launch simultaneously.

Best for: International users, developers needing to call multiple model providers simultaneously

How Enterprise Teams Should Choose: A Decision Table

Why "Hy4 Is Best Experienced on ADP"

Hy4 official's biggest selling point is long-horizon tasks. But long-horizon tasks are an "agent-level" capability — its value isn't realized in single-turn chat, but in multi-step, long-duration, stateful task execution.

Ask Hy4 a question in Yuanbao, it gives you an answer. Fundamentally no different from preview.

But on ADP, you can build an agent like this:

Customer Service Agent: Receive user ticket → Understand problem type → Query order system → Determine handling plan → Invoke refund/exchange process → Escalate to human if unresolvable → Record full trace → Push result to WeCom

This requires Hy4 to continuously reason through 10+ steps, call 3-4 tools, and maintain task consistency — exactly where Hy4 official's long-horizon task capability shines.

And this agent runs on ADP's cloud workbench, 24/7 always-on — it keeps running even when your computer is off. The core requirement of service-type agents is uninterrupted long-horizon execution. Hy4 thinks far, ADP runs long.

ADP 4.0 Hy4 Readiness Checklist

Hy4 Flash: Don't Overlook This Practical Option

Beyond the flagship Hy4, the flash version is coming soon. Positioned as "ultra-cost-effective practical model," it inherits Hy4's visual and agent capabilities through deep Co-Design between model and product teams.

For enterprise agent deployment, Hy4 flash's value:

• Cost control: Use flash for high-frequency, low-complexity tasks; switch to Hy4 official for complex long-horizon tasks — ADP's multi-model routing natively supports this hybrid scheduling
• Concurrency scaling: Under the same budget, flash handles more concurrent requests
• Rapid iteration: Flash iterates faster, suitable for scenarios requiring frequent agent behavior adjustments

Conclusion

Hy4 official's release isn't just adding another model option — its long-horizon task capability opens up new space for "enterprise-grade 24/7 always-on service-type agents."

Go to Yuanbao for personal experience, WorkBuddy for office productivity, TokenHub for API integration. But if you're building a real enterprise-grade agent — needing long-horizon tasks, cloud residency, canary fallback — ADP is the only platform that fully translates Hy4's model capability into production capability.

On the day Hy4 official launches, ADP integrates it simultaneously. Get hands-on immediately — describe a requirement in natural language and spin up an agent. That's the best way to validate the real weight of "long-horizon tasks."