How much does Hy3 cost?

Hy3 costs $0.0825/M input tokens and $0.33/M output tokens, with separate rates for Cache Read at $0.02063/M tokens.

What is the context length of Hy3?

Hy3 has a 262,144 token context window. It supports up to 128,000 completion tokens.

Does Hy3 support tool calling and structured outputs?

Yes. Hy3 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Which providers serve Hy3?

Hy3 is served by 4 providers on OpenRouter: Tencent Cloud, NovitaAI, GMICloud, and AtlasCloud. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

When was Hy3 released?

Hy3 was released on July 6, 2026.

Tencent: Hy3

tencent/hy3

Model weights

Compare

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.

Modalities

In / out price

$0.0825 / $0.33per 1M

Context

262K

Released

Jul 6, 2026

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


$0.132$0.0825	$0.528$0.33	$0.033$0.020625	2.52s	69 tok/s	99.95%
$0.14	$0.58	$0.035	2.96s	72 tok/s	100.00%
$0.14	$0.58	$0.035	2.17s	51 tok/s	99.75%
$0.20	$0.80	$0.05	1.65s	39 tok/s	99.62%

Input $0.0825Output $0.33
69 tok/s99.95% uptime
Input $0.14Output $0.58
72 tok/s100.00% uptime
Input $0.14Output $0.58
51 tok/s99.75% uptime
Input $0.20Output $0.80
39 tok/s99.62% 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

$0.04016/M tokens

Output

$0.5133/M tokens

Hy3 — Price history

Price history

No effective price data for this selection

$0.0401	$0.512	91.7%	99.2%
$0.0494	$0.580	86.2%	0.7%
$0.0566	$0.579	79.4%	0.1%
$0.0924	$0.799	71.7%	0.0%

Effective in $0.0401Effective out $0.512
Token share
99.2%
Effective in $0.0494Effective out $0.580
Token share
0.7%
Effective in $0.0566Effective out $0.579
Token share
0.1%
Effective in $0.0924Effective out $0.799
Token share
0.0%

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)

99.90%

Availability over the last 3 days

Last 72 hours

Availability 99.90%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.91%

Without Routing

97.09%

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 (Design Arena)
Source	Benchmark	Score
Design Arena	Hy3 Low Models Arena 3D Elo	1154
Design Arena	Hy3 Low Models Arena Code Categories Elo	1166
Design Arena	Hy3 Low Models Arena Data Visualization Elo	1122
Design Arena	Hy3 Low Models Arena Game Development Elo	1125
Design Arena	Hy3 Low Models Arena UI Component Elo	1153
Design Arena	Hy3 Low Models Arena Website Elo	1173

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.

52.8Btokens

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.

3.35Btokens

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.

3.04Btokens

ISEKAI ZERO

AI adventures. Travel with your favorite characters

1Btokens

Zoo Code

new

975Mtokens

Rest of OpenRouter

211B

Top 5 Apps

1.09B

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

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Hy-MT2-30B-A3B

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Hy-MT2-7B

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Hy3

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.).

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Tencent: Hy3

Providers