# xiaomi-mimo-v2.6-pro Usage, Cost & Rank | OpenCode Data

> xiaomi-mimo-v2.6-pro ranked #54 by tokens across OpenCode last week, with 0% of tokens over the past two months.

- Page: https://opencode.ai/data/xiaomi/xiaomi-mimo-v2-6-pro
- JSON: https://opencode.ai/data/xiaomi/xiaomi-mimo-v2-6-pro.json
- Model ID: xiaomi-mimo-v2.6-pro
- Lab: Xiaomi
- Updated: 2026-10-17T01:25:58.000Z

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #54 |
| Tokens | 103K |
| Share of all tokens | 0% |
| Change vs previous 2 months | +100% |
| Unique users | 6 |
| Completed sessions | 9 |
| Average tokens per session | 11K |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 56% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-09-23 | 67K | 1 | 3 |
| 2026-09-24 | 0 | 0 | 0 |
| 2026-09-25 | 0 | 0 | 0 |
| 2026-09-26 | 0 | 0 | 0 |
| 2026-09-27 | 0 | 0 | 0 |
| 2026-09-28 | 0 | 1 | 1 |
| 2026-09-29 | 0 | 0 | 0 |
| 2026-09-30 | 0 | 0 | 0 |
| 2026-10-01 | 0 | 0 | 0 |
| 2026-10-02 | 0 | 0 | 0 |
| 2026-10-03 | 0 | 0 | 0 |
| 2026-10-04 | 0 | 0 | 0 |
| 2026-10-05 | 0 | 0 | 0 |
| 2026-10-06 | 0 | 0 | 0 |
| 2026-10-07 | 0 | 0 | 0 |
| 2026-10-08 | 0 | 0 | 0 |
| 2026-10-09 | 0 | 0 | 0 |
| 2026-10-10 | 0 | 0 | 0 |
| 2026-10-11 | 0 | 0 | 0 |
| 2026-10-12 | 0 | 1 | 1 |
| 2026-10-13 | 0 | 1 | 1 |
| 2026-10-14 | 0 | 0 | 0 |
| 2026-10-15 | 0 | 0 | 0 |
| 2026-10-16 | 36K | 2 | 3 |
| 2026-10-17 | 0 | 0 | 0 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | India | 0 | 64.9% |
| 2 | Qatar | 0 | 35.1% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 47 | [qwen3.7-max](https://opencode.ai/data/alibaba/qwen3-7-max.md) | Qwen | 401M |
| 48 | [gpt-5-nano](https://opencode.ai/data/openai/gpt-5-nano.md) | OpenAI | 294M |
| 49 | [gemini-4-argon](https://opencode.ai/data/google/gemini-4-argon.md) | Google | 12M |
| 50 | [test](https://opencode.ai/data/deepseek/test.md) | DeepSeek | 12M |
| 51 | [code](https://opencode.ai/data/custom/code.md) | Custom | 2.7M |
| 52 | [test-siliconflow-dsf4.1](https://opencode.ai/data/deepseek/test-siliconflow-dsf4-1.md) | DeepSeek | 1.8M |
| 53 | [tencent/hy4-preview](https://opencode.ai/data/tencent/tencent-hy4-preview.md) | Tencent | 93K |
| 54 | [xiaomi-mimo-v2.6-pro](https://opencode.ai/data/xiaomi/xiaomi-mimo-v2-6-pro.md) | Xiaomi | 36K |
| 55 | [coding-minimax-m3](https://opencode.ai/data/minimax/coding-minimax-m3.md) | MiniMax | 36K |
| 56 | [z-ai/glm-5.3-flash](https://opencode.ai/data/zhipu/z-ai-glm-5-3-flash.md) | Zhipu | 5.1K |

## 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.