# crouton-alpha Usage, Cost & Rank | OpenCode Data

> crouton-alpha ranked #57 by tokens across OpenCode last week, with 0% of tokens over the past two months.

- Page: https://opencode.ai/data/unknown/crouton-alpha
- JSON: https://opencode.ai/data/unknown/crouton-alpha.json
- Model ID: crouton-alpha
- Lab: Unknown
- Updated: 2026-11-03T18:39:14.000Z

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #57 |
| Tokens | 66K |
| Share of all tokens | 0% |
| Change vs previous 2 months | +100% |
| Unique users | 1 |
| Completed sessions | 24 |
| Average tokens per session | 2.8K |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 0% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-11-03 | 66K | 1 | 24 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 0 | 100% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 50 | [z-ai/glm-5.3-flash](https://opencode.ai/data/zhipu/z-ai-glm-5-3-flash.md) | Zhipu | 15M |
| 51 | [coding-minimax-m2.7](https://opencode.ai/data/minimax/coding-minimax-m2-7.md) | MiniMax | 1.1M |
| 52 | [test](https://opencode.ai/data/unknown/test.md) | - | 192K |
| 53 | [test-siliconflow-dsf4.1](https://opencode.ai/data/deepseek/test-siliconflow-dsf4-1.md) | DeepSeek | 150K |
| 54 | [test-google-vertex](https://opencode.ai/data/google/test-google-vertex.md) | Google | 125K |
| 55 | [gpt-4o](https://opencode.ai/data/openai/gpt-4o.md) | OpenAI | 100K |
| 56 | [daniel-test](https://opencode.ai/data/unknown/daniel-test.md) | - | 93K |
| 57 | [crouton-alpha](https://opencode.ai/data/unknown/crouton-alpha.md) | - | 66K |
| 58 | [deepseek/deepseek-v4.1-flash](https://opencode.ai/data/deepseek/deepseek-deepseek-v4-1-flash.md) | DeepSeek | 41K |
| 59 | [gemini-3.8-flash](https://opencode.ai/data/google/gemini-3-8-flash.md) | Google | 508 |

## 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.