# Tencent launches Hy4 with vision and computer use

> Final Hy4 adds image input and computer use. Compare its benchmarks and API pricing, and check what is still pending before Tencent releases the weights.


Published: 2026-11-04. Original source: [Tencent Hy · Introducing Hy4](https://hy.tencent.ai/research/hy4?langVersion=en).

![Official Introducing Hy4 cover with images of art, electronics and vision](/news/tencent-hy4/official-cover.jpg)

Official video cover from [Tencent Hy](https://x.com/TencentHunyuan/status/2117887087815139440). November 4 launch material, reproduced without changes.

**The final version of Hy4 is here.** Tencent [announced it on November 4](https://hy.tencent.ai/research/hy4?langVersion=en) with image input and the ability to act in terminals and graphical interfaces. It keeps the August preview’s standard API rates. The final model’s weights are still pending release, according to the announcement.

If the name sounds familiar, [Hy4 preview was already available](https://github.com/Tencent-Hunyuan/Hy4-preview). Today’s release is its successor with vision. Check the version before downloading weights or comparing a benchmark screenshot.

## What the Hy4 benchmarks show

Start with the task you care about. In Tencent’s table, Hy4 reaches **75.2 on APEX-Agents v1.1**, the highest figure in that row. On Terminal-Bench 4.0 it scores **44.4**, versus **66.4 for Opus 5.5** in the run marked as Tencent’s own. Switching from working agents to terminal coding changes the picture.

### Hy4: results published by Tencent
Source: November 4, 2026 appendix. Each model at its highest available reasoning setting. * denotes Tencent’s own testing. The chart uses the starred figure when a cell contains two values; this table retains both. Harnesses differ; HeyMark did not run these tests.

#### APEX-Agents v1.1
Pass@1 · higher is better

| Model | Original cell |
| --- | ---: |
| Hy4 preview | 53.9 |
| Hy4 | 75.2 |
| GLM-5.3 | 64.3* |
| DeepSeek-V4.1-Flash-1017 | 72.1 / 72.9* |
| Kimi K3.1 Pro | 67.2 / 68.2* |
| GPT-6.1 Sol | 60.0 / 61.7* |
| Claude Opus 5.5 | 73.5 / 74.8* |

#### Terminal-Bench 4.0
Score · higher is better

| Model | Original cell |
| --- | ---: |
| Hy4 preview | 26.3 |
| Hy4 | 44.4 |
| GLM-5.3 | 42.9* |
| DeepSeek-V4.1-Flash-1017 | 42.3 / 40.0* |
| Kimi K3.1 Pro | 65.7 / 66.8* |
| GPT-6.1 Sol | 55.9 / 55.5* |
| Claude Opus 5.5 | 66.4 / 66.4* |

#### MMMU-Pro
Vision · higher is better

| Model | Original cell |
| --- | ---: |
| Hy4 preview | No result |
| Hy4 | 78.6 |
| GLM-5.3 | No result |
| DeepSeek-V4.1-Flash-1017 | 76.7* |
| Kimi K3.1 Pro | 84.1 / 83.4* |
| GPT-6.1 Sol | 84.9* |
| Claude Opus 5.5 | 88.2* |

#### OSWorld 2.1
Full · partial score, not completed tasks

| Model | Original cell |
| --- | ---: |
| Hy4 preview | No result |
| Hy4 | 78.9 |
| GLM-5.3 | No result |
| DeepSeek-V4.1-Flash-1017 | 68.4* |
| Kimi K3.1 Pro | 79.6 |
| GPT-6.1 Sol | 75.2* |
| Claude Opus 5.5 | 81.8 |

[Tencent Hy](https://hy.tencent.ai/research/hy4?langVersion=en)

The chart keeps a 0–100 scale. Each test has its own metric. **OSWorld 2.1 reports partial score**: 78.9 is that score, not a claim that Hy4 completes 78.9% of tasks. On the visual test MMMU-Pro, it scores 78.6.

The preview comparison helps explain the update: Terminal-Bench moves from 26.3 to 44.4; APEX-Agents from 53.9 to 75.2. Tencent notes that some preview figures were recalculated after changes to the evaluation setup. Read these as the values in this appendix.

Each model uses its highest available reasoning setting. Asterisks identify Tencent’s own testing, and configurations vary. Terminal-Bench allows up to 500 turns and 13 hours per attempt. **HeyMark did not run these tests.** Original cells and methodology are available below the chart.

## API pricing and the rate observed on OpenRouter

These amounts are **USD per million tokens**. Standard rates come from Tencent; [OpenRouter’s](https://openrouter.ai/tencent/hy4) rates are those observed while reviewing the November 4 launch. Its listing does not give an end date for the price difference.

| Token type | Tencent, standard | OpenRouter, observed |
| --- | ---: | ---: |
| Input | $0.834 | $0.417 |
| Cached input | $0.042 | $0.021 |
| Output | $2.501 | $1.2505 |

For stated billed totals of **10,000 input tokens and 2,000 output tokens**, standard pricing comes to $0.013342: `(10,000 × 0.834 + 2,000 × 2.501) / 1,000,000`. At the observed OpenRouter rates it is $0.006671. This is an example using declared quantities; your requests can consume different tokens and tools.

OpenRouter identifies the version as **`tencent/hy4-20261104`**, with up to **1,048,576 context tokens** and **65,536 output tokens**. It accepts text and images and returns text. Reasoning effort can be `high`, `low` or `none`, with `high` as the default. Those limits describe this API offering; individual products can impose others.

## What is pending before you can download final Hy4

Tencent says it plans to release the weights together with a system card. The announcement leaves the date and license unspecified. Check [Tencent’s official Hugging Face profile](https://huggingface.co/tencent) to see which version you are downloading.

The **770B parameters, 49B active parameters and Apache 2.0 license** belong to the [Hy4 preview repository](https://github.com/Tencent-Hunyuan/Hy4-preview). That card documents August’s release. The final announcement does not disclose its architecture, so those specifications cannot automatically be assigned to final Hy4.

[Tencent Hy’s original launch post on X](https://x.com/TencentHunyuan/status/2117870250838630539), dated November 4. The full announcement and appendix explain the conditions behind the release.

## A useful way to try the new visual input

For a content team, one practical test would be to supply a screenshot of a creative and its brief, then ask Hy4 to locate text, review hierarchy and suggest specific changes. Check its answers against the screenshot. **This is our proposed test**, not a capability independently validated by HeyMark or permission for a model to publish to your accounts.

If you already used the preview, compare both versions with the same material, instructions and budget. Record errors and the actual cost of completing the task. The added modality gives you a reason to try it; the benchmark table helps you decide what to test.

## Plan your next post in HeyMark.

Keep the idea, review the draft with your team, and see how it performed in the accounts you connected.

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