# Hy4 preview Usage, Cost & Rank | OpenCode Data

> Hy4 preview ranked #32 by tokens across OpenCode last week, with 0.0% of tokens over the past two months. Hy4 preview costs $0.96 per 1M input tokens and $2.88 per 1M output tokens.

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

- Page: https://opencode.ai/data/tencent/hy4-preview
- JSON: https://opencode.ai/data/tencent/hy4-preview.json
- Model ID: tencent/hy4-preview
- Lab: Tencent
- Updated: 2026-10-02T08:39:37.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 64K |
| Knowledge cutoff | - |
| Release date | 2026-08-28 |
| Input modalities | text |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | Yes |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.96 | $2.88 | $0.05 | $0.96 |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #32 |
| Tokens | 320B |
| Share of all tokens | 0.0% |
| Change vs previous 2 months | +100% |
| Unique users | 39K |
| Completed sessions | 87,366 |
| Average tokens per session | 3.7M |
| Average cost per session | $0.3205 |
| Total spend | $28,000 |
| Input tokens served from cache | 96% |
| Weekly retention | 54.9% |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-08-28 | 4.1B | 652 | 836 |
| 2026-08-29 | 17B | 1.6K | 2,181 |
| 2026-08-30 | 20B | 1.5K | 2,345 |
| 2026-08-31 | 26B | 2.1K | 2,788 |
| 2026-09-01 | 27B | 1.9K | 2,685 |
| 2026-09-02 | 22B | 1.7K | 2,624 |
| 2026-09-03 | 18B | 1.6K | 1,800 |
| 2026-09-04 | 14B | 1.3K | 2,182 |
| 2026-09-05 | 9.4B | 959 | 1,301 |
| 2026-09-06 | 10B | 940 | 1,485 |
| 2026-09-07 | 13B | 1.3K | 2,895 |
| 2026-09-08 | 13B | 1.2K | 3,810 |
| 2026-09-09 | 13B | 1.1K | 3,928 |
| 2026-09-10 | 9.3B | 1.3K | 3,427 |
| 2026-09-11 | 6.6B | 1K | 2,153 |
| 2026-09-12 | 5.7B | 836 | 2,129 |
| 2026-09-13 | 5.4B | 870 | 2,009 |
| 2026-09-14 | 8.6B | 1.2K | 3,350 |
| 2026-09-15 | 8.1B | 1.1K | 2,644 |
| 2026-09-16 | 6.5B | 1.1K | 3,340 |
| 2026-09-17 | 6.9B | 1.2K | 4,300 |
| 2026-09-18 | 7B | 1K | 4,131 |
| 2026-09-19 | 5.7B | 858 | 3,642 |
| 2026-09-20 | 6.2B | 856 | 3,238 |
| 2026-09-21 | 7.3B | 1.1K | 2,388 |
| 2026-09-22 | 6.6B | 1.1K | 2,430 |
| 2026-09-23 | 5.1B | 901 | 2,124 |
| 2026-09-24 | 3.5B | 828 | 1,841 |
| 2026-09-25 | 1.8B | 658 | 1,513 |
| 2026-09-26 | 1.5B | 631 | 2,018 |
| 2026-09-27 | 1.7B | 672 | 1,636 |
| 2026-09-28 | 2.2B | 883 | 2,165 |
| 2026-09-29 | 2.3B | 890 | 1,965 |
| 2026-09-30 | 2.7B | 799 | 2,051 |
| 2026-10-01 | 1.8B | 648 | 1,480 |
| 2026-10-02 | 502M | 236 | 532 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 55B | 17.1% |
| 2 | China | 48B | 15.1% |
| 3 | Brazil | 19B | 6% |
| 4 | Germany | 18B | 5.6% |
| 5 | Japan | 16B | 5.1% |
| 6 | India | 11B | 3.3% |
| 7 | Türkiye | 7.8B | 2.4% |
| 8 | Netherlands | 7.5B | 2.3% |
| 9 | Indonesia | 7.5B | 2.3% |
| 10 | United Kingdom | 7.1B | 2.2% |
| 11 | Singapore | 6.5B | 2% |
| 12 | Spain | 6.3B | 2% |
| 13 | France | 6B | 1.9% |
| 14 | Hong Kong | 6B | 1.9% |
| 15 | Canada | 5.7B | 1.8% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 28 | [longcat-2.0](https://opencode.ai/data/meituan/longcat-2-0.md) | Meituan | 26B |
| 29 | [qwen3.8-max](https://opencode.ai/data/alibaba/qwen3-8-max.md) | Qwen | 26B |
| 30 | [hy3](https://opencode.ai/data/tencent/hy3.md) | Tencent | 17B |
| 31 | [minimax-m2.7](https://opencode.ai/data/minimax/minimax-m2-7.md) | MiniMax | 15B |
| 32 | [hy4-preview](https://opencode.ai/data/tencent/hy4-preview.md) | Tencent | 13B |
| 33 | [omen-alpha](https://opencode.ai/data/unknown/omen-alpha.md) | - | 12B |
| 34 | [grok-4.7](https://opencode.ai/data/xai/grok-4-7.md) | xAI | 9.6B |
| 35 | [jev-1.13](https://opencode.ai/data/unknown/jev-1-13.md) | - | 6B |
| 36 | [kimi-k2.6](https://opencode.ai/data/moonshotai/kimi-k2-6.md) | Moonshot | 5.5B |
| 37 | [grok-4.6](https://opencode.ai/data/xai/grok-4-6.md) | xAI | 2.8B |

## 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.