# mai-experimental-test Usage, Cost & Rank | OpenCode Data

> mai-experimental-test ranked #20 by tokens across OpenCode last week, with 0.0% of tokens over the past two months.

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

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #20 |
| Tokens | 194B |
| Share of all tokens | 0.0% |
| Change vs previous 2 months | +100% |
| Unique users | 53K |
| Completed sessions | 541,498 |
| Average tokens per session | 358K |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 67.4% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-09-22 | 3.4B | 1.6K | 11,759 |
| 2026-09-23 | 4B | 1.7K | 13,649 |
| 2026-09-24 | 4B | 1.6K | 13,443 |
| 2026-09-25 | 3B | 629 | 5,620 |
| 2026-09-26 | 3.9B | 2.9K | 24,853 |
| 2026-09-27 | 3.9B | 2.9K | 25,430 |
| 2026-09-28 | 4B | 3.1K | 25,339 |
| 2026-09-29 | 4.8B | 6.3K | 47,628 |
| 2026-09-30 | 18B | 12K | 106,759 |
| 2026-10-01 | 77B | 16K | 194,579 |
| 2026-10-02 | 68B | 4.1K | 72,439 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 17B | 8.8% |
| 2 | India | 17B | 8.6% |
| 3 | China | 12B | 6.4% |
| 4 | Indonesia | 10B | 5.4% |
| 5 | Brazil | 10B | 5.2% |
| 6 | Russia | 9.5B | 4.9% |
| 7 | Germany | 5.2B | 2.7% |
| 8 | Mexico | 4.4B | 2.3% |
| 9 | Argentina | 4.2B | 2.2% |
| 10 | Colombia | 4.2B | 2.1% |
| 11 | Egypt | 4.1B | 2.1% |
| 12 | Philippines | 3.7B | 1.9% |
| 13 | Spain | 3.6B | 1.9% |
| 14 | Vietnam | 3.2B | 1.6% |
| 15 | Singapore | 3B | 1.6% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 16 | [ling-3.0-flash-fin](https://opencode.ai/data/inclusionai/ling-3-0-flash-fin.md) | inclusionAI | 256B |
| 17 | [qwen3.8-flash](https://opencode.ai/data/alibaba/qwen3-8-flash.md) | Qwen | 256B |
| 18 | [gpt-5.6-luna](https://opencode.ai/data/openai/gpt-5-6-luna.md) | OpenAI | 195B |
| 19 | [minimax-m3](https://opencode.ai/data/minimax/minimax-m3.md) | MiniMax | 181B |
| 20 | [mai-experimental-test](https://opencode.ai/data/unknown/mai-experimental-test.md) | - | 180B |
| 21 | [kimi-k2.7-code](https://opencode.ai/data/moonshotai/kimi-k2-7-code.md) | Moonshot | 136B |
| 22 | [glm-5.3](https://opencode.ai/data/zhipuai/glm-5-3.md) | Zhipu | 95B |
| 23 | [fledge-alpha](https://opencode.ai/data/unknown/fledge-alpha.md) | - | 90B |
| 24 | [qwen3.7-plus](https://opencode.ai/data/alibaba/qwen3-7-plus.md) | Qwen | 76B |
| 25 | [glm-5.2](https://opencode.ai/data/zhipuai/glm-5-2.md) | Zhipu | 61B |

## 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.