# space-bunny Usage, Cost & Rank | OpenCode Data

> space-bunny ranked #1 by tokens across OpenCode last week, with 8.3% of tokens over the past two months.

- Page: https://opencode.ai/data/unknown/space-bunny
- JSON: https://opencode.ai/data/unknown/space-bunny.json
- Model ID: space-bunny
- Lab: Unknown
- Updated: 2026-10-02T08:39:37.000Z

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #1 |
| Tokens | 75T |
| Share of all tokens | 8.3% |
| Change vs previous 2 months | +100% |
| Unique users | 349K |
| Completed sessions | 23,771,688 |
| Average tokens per session | 3.1M |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 96.7% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-09-23 | 1.5T | 6.9K | 280,272 |
| 2026-09-24 | 6.8T | 20K | 1,046,788 |
| 2026-09-25 | 9T | 34K | 2,000,528 |
| 2026-09-26 | 7.9T | 36K | 2,546,845 |
| 2026-09-27 | 8.3T | 35K | 2,690,631 |
| 2026-09-28 | 8.7T | 45K | 2,734,999 |
| 2026-09-29 | 9.6T | 49K | 3,803,481 |
| 2026-09-30 | 10T | 50K | 3,875,492 |
| 2026-10-01 | 9.7T | 49K | 3,710,433 |
| 2026-10-02 | 2.9T | 25K | 1,082,219 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 8.6T | 11.5% |
| 2 | China | 7.5T | 10% |
| 3 | India | 5.9T | 7.9% |
| 4 | Germany | 3.5T | 4.8% |
| 5 | Russia | 3.2T | 4.3% |
| 6 | Brazil | 2.7T | 3.6% |
| 7 | Indonesia | 2.2T | 3% |
| 8 | Japan | 2.1T | 2.9% |
| 9 | France | 1.9T | 2.6% |
| 10 | Türkiye | 1.9T | 2.5% |
| 11 | United Kingdom | 1.7T | 2.3% |
| 12 | Spain | 1.5T | 2% |
| 13 | Vietnam | 1.5T | 2% |
| 14 | Netherlands | 1.4T | 1.9% |
| 15 | Singapore | 1.3T | 1.8% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 1 | [space-bunny](https://opencode.ai/data/unknown/space-bunny.md) | - | 57T |
| 2 | [deepseek-v4.1-flash](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md) | DeepSeek | 33T |
| 3 | [muse-spark-1.3-contributor](https://opencode.ai/data/meta/muse-spark-1-3-contributor.md) | Meta | 31T |
| 4 | [mimo-v2.6-flash](https://opencode.ai/data/xiaomi/mimo-v2-6-flash.md) | Xiaomi | 8.8T |
| 5 | [deepseek-v4-flash](https://opencode.ai/data/deepseek/deepseek-v4-flash.md) | DeepSeek | 5.7T |
| 6 | [nemotron-3-ultra](https://opencode.ai/data/nvidia/nemotron-3-ultra.md) | NVIDIA | 3.6T |
| 7 | [longcat-2.5-preview](https://opencode.ai/data/meituan/longcat-2-5-preview.md) | Meituan | 2.6T |
| 8 | [glm-5.3-flash](https://opencode.ai/data/zhipuai/glm-5-3-flash.md) | Zhipu | 2.1T |
| 9 | [mimo-v2.5](https://opencode.ai/data/xiaomi/mimo-v2-5.md) | Xiaomi | 794B |
| 10 | [muse-spark-1.2-contributor](https://opencode.ai/data/meta/muse-spark-1-2-contributor.md) | Meta | 738B |

## 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.