Hunyuan Large
tencent/hunyuan-largeTencent's open flagship: ecosystem-hardened quality serving WeChat-scale traffic.
Model overview
Context window
256K
tokens
Input price
—
quoted on request
Output price
—
quoted on request
Weekly volume
—
tokens / week
Open weights
Yes
self-hostable
Capabilities
4
of 11 tags
Description
Hunyuan Large is a language model from Tencent Hunyuan. Webparam does not stock this model yet and can source it on request — tell us what you need it for and we will come back with availability and a price. Tencent Hunyuan’s stated focus is ecosystem-scale multimodal models. Its mean it can also be self-hosted under its licence.
Capabilities
- Tool calling
- Calls functions you define and returns their arguments as structured data, the basis of agents.
- JSON mode
- Constrains the response to valid JSON matching a schema you supply.
- Streaming
- Emits tokens as they are generated, so answers appear progressively rather than all at once.
- Open weights
- The parameters are published, so the model can be inspected, fine-tuned and self-hosted under its licence.
Strengths & weaknesses
Strengths
- Hardened at consumer mega-scale
- Open weights
- Strong Chinese-language quality
Weaknesses
- International documentation lags
- Middle of the pack on coding
Pricing
| Rate | Price | Unit |
|---|---|---|
| Input | — quoted on request | — |
| Output | — quoted on request | — |
This model is not provisioned yet; the rate is quoted on request.
Context window
256Ktokens
covers prompt and response together, so a long input leaves less room for the answer.
Supported features
| Feature | Support |
|---|---|
| Tool calling | Supported |
| JSON mode | Supported |
| Streaming | Supported |
| Vision input | Not supported |
| Audio input | Not supported |
| Long context | Not supported |
| Open weights | Supported |
| Reasoning | Not supported |
| Fine-tunable | Not supported |
| Batch | Not supported |
| Caching | Not supported |
Example use cases
Chinese-market products
General assistants
Cloud deployments
Comparison
Compare against anything →| Attribute | Hunyuan Large | ERNIE 4.5 | Doubao 1.5 Pro |
|---|---|---|---|
| Context window | 256K | 128K | 256K |
| Input price | R0.00 | R0.00 | R0.00 |
| Output price | — not charged | — not charged | — not charged |
| Tool calling | Supported | Supported | Supported |
| JSON mode | Supported | Supported | Supported |
| Vision input | Not supported | Supported | Not supported |
| Open weights | Supported | Not supported | Not supported |
| Prompt caching | Not supported | Not supported | Supported |
Best value in each row is highlighted. Blank cells are facts the supplier does not publish, not zeroes.
Provider information
View Tencent Hunyuan →Tencent Hunyuan · 腾讯混元 · Shenzhen, China · est. 2023 (Model lab; parent Tencent founded 1998)
Hunyuan is Tencent's foundation model family, serving one of the largest product ecosystems on earth, WeChat, games, cloud. Its open releases in video and 3D generation earned particular attention, while the Large text line anchors enterprise deployments across Tencent Cloud.
Recent releases
Documentation
Frequently asked questions
Input is billed at R0.00 per 1M tokens, and there is no separate output charge. Every figure on this page is an illustrative placeholder.
Yes. Hunyuan Large's parameters are published, so it can be downloaded, inspected, fine-tuned and self-hosted under its licence. Self-hosting trades per-token pricing for infrastructure you run.
Prompt and response share one window: Hunyuan Large accepts up to 256K tokens in total, so a long input leaves less room for the answer. The median across language models is 256K. Recall is strongest well inside the limit. Test at your real prompt depth before relying on the ceiling.
ERNIE 4.5 is the closest neighbour in the catalogue, with 128K of context at R0.00 per 1M tokens in. Put both in a comparison before wiring a fallback chain, so the trade-off is a decision rather than a default.