# Hy4 Usage, Cost & Rank | OpenCode Data

> Hy4 ranked #37 by tokens across OpenCode last week, with 0% of tokens over the past two months. Hy4 costs $0.83 per 1M input tokens and $2.50 per 1M output tokens.

A next-generation multimodal productivity model with significantly enhanced Agent and complex task execution capabilities.

- Page: https://opencode.ai/data/tencent/hy4
- JSON: https://opencode.ai/data/tencent/hy4.json
- Model ID: tencent/hy4
- Lab: Tencent
- Updated: 2026-11-05T06:10:03.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 66K |
| Knowledge cutoff | - |
| Release date | 2026-11-04 |
| Input modalities | text, image |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | No |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.83 | $2.50 | $0.04 | - |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #37 |
| Tokens | 8.8B |
| Share of all tokens | 0% |
| Change vs previous 2 months | +100% |
| Unique users | 1.6K |
| Completed sessions | 5,474 |
| Average tokens per session | 1.6M |
| Average cost per session | $0.1619 |
| Total spend | $886 |
| Input tokens served from cache | 95.9% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-11-04 | 1.2B | 502 | 1,579 |
| 2026-11-05 | 7.6B | 1.1K | 3,894 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 2.2B | 25.5% |
| 2 | China | 1.1B | 12.6% |
| 3 | Brazil | 800M | 8.8% |
| 4 | Indonesia | 400M | 4.6% |
| 5 | Canada | 300M | 4% |
| 6 | Japan | 300M | 4% |
| 7 | United Kingdom | 300M | 3.4% |
| 8 | Singapore | 200M | 2.6% |
| 9 | Australia | 200M | 2.6% |
| 10 | Mexico | 200M | 2.4% |
| 11 | Germany | 200M | 2.4% |
| 12 | Vietnam | 200M | 2.3% |
| 13 | Peru | 200M | 2.2% |
| 14 | Colombia | 200M | 2.1% |
| 15 | Hong Kong | 200M | 1.8% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 33 | [qwen3.8-max](https://opencode.ai/data/alibaba/qwen3-8-max.md) | Qwen | 23B |
| 34 | [grok-4.7](https://opencode.ai/data/xai/grok-4-7.md) | xAI | 14B |
| 35 | [hy3](https://opencode.ai/data/tencent/hy3.md) | Tencent | 13B |
| 36 | [hy4-preview](https://opencode.ai/data/tencent/hy4-preview.md) | Tencent | 9B |
| 37 | [hy4](https://opencode.ai/data/tencent/hy4.md) | Tencent | 8.8B |
| 38 | [step-5-preview](https://opencode.ai/data/stepfun/step-5-preview.md) | StepFun | 7.5B |
| 39 | [jev-1.13](https://opencode.ai/data/unknown/jev-1-13.md) | - | 4.3B |
| 40 | [gpt-5-nano](https://opencode.ai/data/openai/gpt-5-nano.md) | OpenAI | 275M |
| 41 | [deepseek-v4-flash](https://opencode.ai/data/deepseek/deepseek-v4-flash.md) | DeepSeek | 25M |
| 42 | [qiniu/conatus](https://opencode.ai/data/custom/qiniu-conatus.md) | Custom | 19M |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.