Hunyuan HY3
Hunyuan HY3 is Tencent's model at $0.063 input and $0.21 output per million tokens, with a 256K context window. On a typical 3:1 input-to-output mix that blends to roughly $0.10 per million tokens, placing it in the budget band of the 68 models tracked here — cheaper than 94% of them.
By price, Hunyuan HY3 ranks 4th cheapest of 68 on input and 8th on output. Its quality score of 87 ranks 33rd of 68, and on value (quality score ÷ output price) it ranks 7th of 68. Its blended rate sits 96% below the catalog average.
In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $12 per month on Hunyuan HY3, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $13. Because output is priced 3.3× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.
A 256K context window holds roughly 341 pages of A4 text (at ~750 tokens per page), ranking 36th of 68 here. That covers typical RAG and multi-turn chat, though book-length inputs still need retrieval and chunking. Output runs at about 110 tok/s (25th fastest of 68), acceptable interactively, though long responses will feel slow.
We track 2 Tencent models, and Hunyuan HY3's blended rate sits 21% below that provider's average. Among the models tracked here it is already one of the cheapest options at this quality level. Going the other way, qwen3.5 scores 91 on quality for about 13% more.
The closest model in Tencent's line-up is Hunyuan TurboS ($0.11 input / $0.28 output, quality 79). Against it, Hunyuan HY3 scores 8 points higher on quality, runs 50 tok/s slower (about 31%), costs 53% less blended. When two models sit this close on price, the deciding factor is usually the quality ceiling — run both against your real prompts before picking.
Estimated monthly cost
Monthly API spend across four common workloads, next to the cheapest model we track.
| Workload | Usage assumption | This model | Cheapest model |
|---|---|---|---|
| Support chatbot | 2,000 input / 500 output tokens per turn, 50,000 turns per month | $12 | $3.00 |
| RAG document Q&A | 8,000 input / 800 output tokens per query, 20,000 queries per month | $13 | $3.84 |
| Coding assistant | 12,000 input / 2,000 output tokens per request, 10,000 requests per month | $12 | $3.20 |
| Batch summarization | 4,000 input / 400 output tokens per item, 200,000 items per month | $67 | $19 |
Derived directly from the rates on this page. Excludes prompt caching, batch discounts and free tiers.
How it compares
The alternatives worth benchmarking alongside it, from the same dataset.
| Model | Provider | Blended /1M | Quality | Price delta |
|---|---|---|---|---|
| Hunyuan HY3 | Tencent | $0.10 | 87 | — |
| qwen3.5Higher quality | Alibaba | $0.11 | 91 | +13% |
| Hunyuan TurboSSame provider | Tencent | $0.15 | 79 | +53% |
| qwen3.5-flashBest value overall | Alibaba | $0.055 | 82 | -45% |
Best for
Modalities
Where it fits — and where it doesn't
Good fit
- Reasoning: multi-step decomposition, planning and tasks that need rigorous inference.
- Chat and support: natural multi-turn conversation for user-facing products.
- High-volume, cost-sensitive batch work: low rates suit classification, tagging and summarization at scale.
- Multimodal input: handles images, screenshots and scanned documents directly.
Poor fit
- No obvious disqualifiers — still benchmark on your own data before committing.
Frequently asked questions
How much does the Hunyuan HY3 API cost?
Hunyuan HY3 costs $0.063 per million input tokens and $0.21 per million output tokens. On a 3:1 input-to-output mix that blends to about $0.10 per million tokens.
What does Hunyuan HY3 cost per month?
It depends on volume. Using the four worked scenarios on this page: a support chatbot runs about $12/month, RAG document Q&A about $13/month, a coding assistant about $12/month, and batch summarization about $67/month. Plug your own token counts into the cost calculator for a tailored figure.
How large is the Hunyuan HY3 context window?
256K tokens — roughly 341 pages of A4 text at ~750 tokens per page, ranking 36th of the 68 models tracked here.
What is Hunyuan HY3 best suited for?
Tagged use cases: reasoning, chatbot, cheap. Reasoning: multi-step decomposition, planning and tasks that need rigorous inference. Less suitable: No obvious disqualifiers — still benchmark on your own data before committing.
How current is this Hunyuan HY3 pricing?
Pricing here was last verified on 2026-08-06 against official documentation. llmprice.app runs a daily collection job, but providers can change rates between runs — confirm against Tencent's official pricing page before you commit.
Estimate the real cost of this model
Bring tokens per request and monthly volume into the calculator to compare total model costs.
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Pricing, speed and quality scores change over time. Confirm official documentation before production use.