# deepseek-v4-1-flash-opencode-bo44an Usage, Cost & Rank | OpenCode Data

> deepseek-v4-1-flash-opencode-bo44an ranked #29 by tokens across OpenCode last week, with 0% of tokens over the past two months.

- Page: https://opencode.ai/data/deepseek/deepseek-v4-1-flash-opencode-bo44an
- JSON: https://opencode.ai/data/deepseek/deepseek-v4-1-flash-opencode-bo44an.json
- Model ID: deepseek-v4-1-flash-opencode-bo44an
- Lab: DeepSeek
- Updated: 2026-10-10T07:45:57.000Z

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #29 |
| Tokens | 41B |
| Share of all tokens | 0% |
| Change vs previous 2 months | +100% |
| Unique users | 5.6K |
| Completed sessions | 44,467 |
| Average tokens per session | 928K |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 85.7% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-10-09 | 5.2B | 1.8K | 13,242 |
| 2026-10-10 | 36B | 3.8K | 31,225 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | China | 6.1B | 14.9% |
| 2 | India | 4.7B | 11.3% |
| 3 | United States | 3.5B | 8.5% |
| 4 | Indonesia | 2.1B | 5.1% |
| 5 | Russia | 2B | 4.9% |
| 6 | Brazil | 1.3B | 3.2% |
| 7 | Germany | 1B | 2.4% |
| 8 | Mexico | 900M | 2.3% |
| 9 | Philippines | 800M | 1.9% |
| 10 | Bangladesh | 700M | 1.8% |
| 11 | Egypt | 700M | 1.7% |
| 12 | Pakistan | 700M | 1.7% |
| 13 | Colombia | 700M | 1.6% |
| 14 | Argentina | 600M | 1.6% |
| 15 | Peru | 600M | 1.5% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 25 | [qwen3.7-plus](https://opencode.ai/data/alibaba/qwen3-7-plus.md) | Qwen | 72B |
| 26 | [glm-5.2](https://opencode.ai/data/zhipuai/glm-5-2.md) | Zhipu | 53B |
| 27 | [mimo-v2.5-pro](https://opencode.ai/data/xiaomi/mimo-v2-5-pro.md) | Xiaomi | 47B |
| 28 | [kimi-k3](https://opencode.ai/data/moonshotai/kimi-k3.md) | Moonshot | 43B |
| 29 | [deepseek-v4-1-flash-opencode-bo44an](https://opencode.ai/data/deepseek/deepseek-v4-1-flash-opencode-bo44an.md) | DeepSeek | 41B |
| 30 | [exo](https://opencode.ai/data/unknown/exo.md) | - | 33B |
| 31 | [longcat-2.0](https://opencode.ai/data/meituan/longcat-2-0.md) | Meituan | 22B |
| 32 | [qwen3.8-max](https://opencode.ai/data/alibaba/qwen3-8-max.md) | Qwen | 20B |
| 33 | [hy3](https://opencode.ai/data/tencent/hy3.md) | Tencent | 17B |
| 34 | [omen-alpha](https://opencode.ai/data/unknown/omen-alpha.md) | - | 16B |

## 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.