Models

Hy3 vs Hy3 (free)

Compare Hy3 from Hunyuan and Hy3 (free) from Hunyuan on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

HunyuanHy3HunyuanHy3 (free)
Hunyuan logo
Hy3
Hunyuan · text → text

The Hy3 official version is honed for real-world business scenarios, using a Mixture-of-Experts (MoE) architecture with 295B total parameters and 21B activated parameters. It natively supports a 256K context window and offers multiple thinking modes: no_think (ultra-fast response), think_low (quick thinking), and think_high (deep reasoning), balancing ultra-fast responses, complex reasoning, and invocation cost. Compared with the Preview version, Hy3—based on real business feedback from Tencent Yuanbao, WorkBuddy, ima, Marvis, and others—focuses on improving the Coding Agent, long-form understanding, multi-turn context continuity, search QA, and complex task execution, performing more stably in reducing hallucinations, improving task completion, and engineering usability. It is better suited to practical scenarios such as frontend tasks, cross-file code development, long-document analysis, office automation, and multi-step Agent workflows.

Input$0.1562 /M
Output$0.6248 /M
Cache read$0.0391 /M
Hunyuan logo
Hy3 (free)
Hunyuan · text → text

The Hy3 official version is honed for real-world business scenarios, using a Mixture-of-Experts (MoE) architecture with 295B total parameters and 21B activated parameters. It natively supports a 256K context window and offers multiple thinking modes: no_think (ultra-fast response), think_low (quick thinking), and think_high (deep reasoning), balancing ultra-fast responses, complex reasoning, and invocation cost. Compared with the Preview version, Hy3—based on real business feedback from Tencent Yuanbao, WorkBuddy, ima, Marvis, and others—focuses on improving the Coding Agent, long-form understanding, multi-turn context continuity, search QA, and complex task execution, performing more stably in reducing hallucinations, improving task completion, and engineering usability. It is better suited to practical scenarios such as frontend tasks, cross-file code development, long-document analysis, office automation, and multi-step Agent workflows.

Input$0 /M
Output$0 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Hy3
Hy3 (free)
Input /M
$0.1562
$0
Output /M
$0.6248
$0
Cache read /M
$0.0391
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Context length
256,000
256,000
Max output
128,000
128,000
Time to First Token
3.4 s
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Throughput
77.8 tok/s
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Modalities
text
text
Supported Parameters
toolsfunction callingstructured outputsweblong contextthinking
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
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Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

hy3hy3-free

Tokens / day

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Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

hy3hy3-free

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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Cost calculator

Estimate your monthly bill for the same workload on each model.

Hy3 (free)
$0.00 /mo
Hy3
$18.74 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

How large is each context window?

Hy3 accepts 256,000 and Hy3 (free) accepts 256,000 input tokens. Maximum output per request is 128,000 tokens on Hy3 and 128,000 tokens on Hy3 (free).

What inputs and capabilities does each model support?

Hy3 accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking; Hy3 (free) accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call Hy3 and Hy3 (free) with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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