How much does Hy4 cost?

Hy4 costs $0.417/M input tokens and $1.251/M output tokens, with separate rates for Cache Read at $0.021/M tokens.

What is the context length of Hy4?

Hy4 has a 1,048,576 token context window. It supports up to 65,536 completion tokens.

Does Hy4 support tool calling and structured outputs?

Yes. Hy4 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does Hy4 support?

Hy4 accepts text and images as input and returns text.

Which providers serve Hy4?

Hy4 is served by 1 provider on OpenRouter: Tencent Cloud.

What other text models does Tencent have?

Hy4 preview, Hy-MT2-1.8B, Hy-MT2-30B-A3B and 4 more are other text models from Tencent.

When was Hy4 released?

Hy4 was released on November 4, 2026.

Tencent: Hy4

tencent/hy4

Model weights

Compare

The official release of Hy4 delivers comprehensive and substantial improvements over Hy4 Preview, with particularly strong gains in agentic capabilities and performance across a wide range of long-horizon, real-world productivity tasks. It also introduces visual understanding for the first time.

Modalities

In / out price

50% off

$0.417 / $1.251per 1M

Context

1.0M

Released

Nov 4, 2026

Providers

This model is hosted by one provider. OpenRouter forwards every request without routing.

Latency / throughput


50% off	$0.834$0.417	$2.501$1.251	$0.042$0.021	3.01s	60 tok/s	100.00%

Input $0.417Output $1.25150% off
60 tok/s100.00% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.08104/M tokens

Output

$2.413/M tokens

Hy4 — Price history

Price history

No effective price data for this selection

		$0.0810	$2.41	94.7%	100.0%

Effective in $0.0810Effective out $2.41
Token share
100.0%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.88%

Availability over the last 3 days

Last 72 hours

Availability 99.88%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.93%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Tencent: Hy4 (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	Tencent Hy4 Intelligence Index	34.6
Artificial Analysis	Tencent Hy4 AA-Omniscience Accuracy	50.0%
Artificial Analysis	Tencent Hy4 AA-Omniscience Non-Hallucination Rate	10.9%
Design Arena	Hy4 Models Arena 3D Elo	1252
Design Arena	Hy4 Models Arena Code Categories Elo	1254
Design Arena	Hy4 Models Arena Game Development Elo	1273
Design Arena	Hy4 Models Arena UI Component Elo	1197
Design Arena	Hy4 Models Arena Website Elo	1250
Vals AI	Hy4 EMB v1.1	66.2%
Vals AI	Hy4 Finance Agent v2.1	64.7%
Vals AI	Hy4 Vals Finance Index	58.1%
Vals AI	Hy4 HLAB-Vals-1.1	12.5%
Vals AI	Hy4 Vals Legal Index	70.6%
Vals AI	Hy4 Legal Research Bench	41.3%
Vals AI	Hy4 Tax Agent Bench	34.4%
Vals AI	Hy4 Terminal-Bench 4.0	39.4%
Vals AI	Hy4 Vals Index	59.4%
Vals AI	Hy4 Vibe Code Bench v1.1	81.0%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Claude Code

Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.

251Btokens

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

41.4Btokens

Strix

Open-source AI hackers that find and validate vulnerabilities in your code, APIs, and infrastructure, and open fix PRs.

14.3Btokens

DeepSeek Harness

new

12.4Btokens

Nous Research API

Nous Research is an AI research team focused on advancing open-source AI.

9.32Btokens

Rest of OpenRouter

2.01T

Top 5 Apps

6.67B

Not currently available through EU in-region routing. In-region routing docs

More models from tencent

HY-World 2.1 Panorama

HY-World 2.1 Panorama is a 360-degree panorama generation model from Tencent, part of the Hunyuan World family. It turns a single text prompt into one high-resolution equirectangular panorama suitable for virtual tours, skyboxes, and world-building, and is particularly strong at coherent, seamless scene layout across the full sphere. Each request produces one panorama; prompts are capped at 600 characters.

Image$1.60/M tokens

Hy Image 3.5 Preview

Hy Image 3.5 Preview is a unified image generation and editing model from Tencent. It handles text-to-image, image-to-image, and multi-turn editing through one endpoint, taking up to 20 reference images per request and producing output up to 4K. Built on the 80B mixture-of-experts Hy Image 3.0 base, it is particularly strong at subject consistency across edits, prompt-faithful composition, and rendering Chinese and English text inside images.

Image$1.60/M tokens

Hy4 preview

Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that require planning, context continuity, and sustained multi-step execution.

Text1.0M context$0.7506 / $2.251

Hy-MT2-1.8B

Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.

Text8K context$0.044 / $0.177

Hy-MT2-30B-A3B

Hy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation. It uses 3B active parameters out of 30B total.

Text8K context$0.074 / $0.295

Hy-MT2-7B

Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.

Text8K context$0.074 / $0.295

Hy3

Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort: a direct no-think mode by default, plus low and high chain-of-thought modes for complex math, coding, and multi-step problems. With a 256K context window, Hy3 targets long-horizon tasks, including improved coreference resolution, multi-turn constraint tracking, and stable tool-calling that generalizes across agent scaffoldings.

Tencent positions it as a reliable, cost-effective option across coding, document processing, financial analysis, game development, and frontend design, with a strong emphasis on grounded, anti-hallucination behavior that answers when grounded and flags when evidence is missing rather than fabricating.

Text262K context$0.0825 / $0.33

Hy3 preview

Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, low, and high modes, allowing it to balance speed and depth depending on the task, while delivering strong code generation and reliable performance across multi-step, real-world workflows.

Text262K context$0.18 / $0.60

Hunyuan A13B Instruct

Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark performance across mathematics, science, coding, and multi-turn reasoning tasks, while maintaining high inference efficiency via Grouped Query Attention (GQA) and quantization support (FP8, GPTQ, etc.).

Text131K context$0.14 / $0.57

Tencent: Hy4

Providers