How much does Hy3 preview cost?

Hy3 preview costs $0.18/M input tokens and $0.60/M output tokens, with separate rates for Cache Read at $0.06/M tokens.

What is the context length of Hy3 preview?

Hy3 preview has a 262,144 token context window.

Does Hy3 preview support tool calling and structured outputs?

Yes. Hy3 preview accepts tools and tool_choice for function calling. It does not support response_format, so JSON output is not enforced.

Which providers serve Hy3 preview?

Hy3 preview is served by 1 provider on OpenRouter: GMICloud.

What other text models does Tencent have?

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

When was Hy3 preview released?

Hy3 preview was released on April 22, 2026.

Tencent: Hy3 preview

tencent/hy3-preview

Model weights

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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.

Modalities

In / out price

$0.18 / $0.60per 1M

Context

262K

Released

Apr 22, 2026

Providers

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

Latency / throughput


	$0.18	$0.60	$0.06	2.08s	72 tok/s	99.85%

Input $0.18Output $0.60
72 tok/s99.85% 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

$0.1308/M tokens

Output

$0.5998/M tokens

Hy3 preview — Price history

Price history

No effective price data for this selection

		$0.131	$0.600	40.8%	100.0%

Effective in $0.131Effective out $0.600
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)

99.39%

Availability over the last 3 days

Last 72 hours

Availability 99.39%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.42%

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: Hy3 preview (Artificial Analysis)
Source	Benchmark	Score
Artificial Analysis	Hy3 Coding Index	58.8
Artificial Analysis	Hy3 Agentic Index	24.1
Artificial Analysis	Hy3 GPQA Diamond	89.7%
Artificial Analysis	Hy3 HLE	33.5%
Artificial Analysis	Hy3 AA-LCR	79.0%
Artificial Analysis	Hy3 τ-Bench Banking	22.9%
Artificial Analysis	Hy3 GDPval-AA	28.4%
Artificial Analysis	Hy3 CritPt	4.9%
Artificial Analysis	Hy3 SciCode	48.6%
Artificial Analysis	Hy3 Terminal-Bench 4.0	0.5%
Artificial Analysis	Hy3 Terminal-Bench 2.1	64.4%
Artificial Analysis	Hy3-preview (Reasoning) GPQA Diamond	86.7%
Artificial Analysis	Hy3-preview (Reasoning) HLE	27.8%
Artificial Analysis	Hy3-preview (Reasoning) IFBench	63.1%
Artificial Analysis	Hy3-preview (Reasoning) τ²-Bench Telecom	92.7%
Artificial Analysis	Hy3-preview (Reasoning) AA-LCR	64.7%
Artificial Analysis	Hy3-preview (Reasoning) CritPt	4.6%
Artificial Analysis	Hy3-preview (Reasoning) Terminal-Bench Hard	34.1%
Artificial Analysis	Hy3-preview (Non-reasoning) GPQA Diamond	73.2%
Artificial Analysis	Hy3-preview (Non-reasoning) HLE	7.0%
Artificial Analysis	Hy3-preview (Non-reasoning) IFBench	48.0%
Artificial Analysis	Hy3-preview (Non-reasoning) τ²-Bench Telecom	67.5%
Artificial Analysis	Hy3-preview (Non-reasoning) AA-LCR	42.0%
Artificial Analysis	Hy3-preview (Non-reasoning) CritPt	0.3%
Artificial Analysis	Hy3-preview (Non-reasoning) Terminal-Bench Hard	31.8%

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.

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.

1.63Btokens

OpenClaw

OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.

669Mtokens

Dyad

new

267Mtokens

Kilo Code

Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, and CLI to help developers ship code faster with agentic workflows.

236Mtokens

Nuans News Pipeline

new

99.9Mtokens

Rest of OpenRouter

268M

Top 5 Apps

11.9M

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

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Hy4

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Text131K context$0.14 / $0.57

Tencent: Hy3 preview

Providers