# deepseek-v4p1-flash-1017-spot Usage, Cost & Rank | OpenCode Data

> deepseek-v4p1-flash-1017-spot ranked #33 by tokens across OpenCode last week, with 0% of tokens over the past two months.

- Page: https://opencode.ai/data/deepseek/deepseek-v4p1-flash-1017-spot
- JSON: https://opencode.ai/data/deepseek/deepseek-v4p1-flash-1017-spot.json
- Model ID: deepseek-v4p1-flash-1017-spot
- Lab: DeepSeek
- Updated: 2026-11-09T04:07:13.000Z

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #33 |
| Tokens | 43B |
| Share of all tokens | 0% |
| Change vs previous 2 months | +100% |
| Unique users | 2.1K |
| Completed sessions | 15,009 |
| Average tokens per session | 2.8M |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 95.6% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-11-07 | 2.4B | 131 | 892 |
| 2026-11-08 | 33B | 1.4K | 10,251 |
| 2026-11-09 | 7B | 519 | 3,866 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 3.6B | 8.5% |
| 2 | Russia | 3B | 7.1% |
| 3 | India | 3B | 7.1% |
| 4 | China | 2.9B | 6.8% |
| 5 | Brazil | 2.6B | 6% |
| 6 | Indonesia | 2.3B | 5.4% |
| 7 | Germany | 1.4B | 3.3% |
| 8 | Egypt | 1.2B | 2.9% |
| 9 | Spain | 1.1B | 2.5% |
| 10 | Türkiye | 900M | 2.2% |
| 11 | United Kingdom | 900M | 2.1% |
| 12 | Pakistan | 900M | 2% |
| 13 | Mexico | 800M | 1.9% |
| 14 | Philippines | 800M | 1.8% |
| 15 | France | 700M | 1.7% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 29 | [muse-spark-1.2-contributor](https://opencode.ai/data/meta/muse-spark-1-2-contributor.md) | Meta | 66B |
| 30 | [qwen3.7-plus](https://opencode.ai/data/alibaba/qwen3-7-plus.md) | Qwen | 65B |
| 31 | [longcat-2.0](https://opencode.ai/data/meituan/longcat-2-0.md) | Meituan | 50B |
| 32 | [glm-5.2](https://opencode.ai/data/zhipuai/glm-5-2.md) | Zhipu | 48B |
| 33 | [deepseek-v4p1-flash-1017-spot](https://opencode.ai/data/deepseek/deepseek-v4p1-flash-1017-spot.md) | DeepSeek | 43B |
| 34 | [kimi-k3](https://opencode.ai/data/moonshotai/kimi-k3.md) | Moonshot | 33B |
| 35 | [qwen3.8-max](https://opencode.ai/data/alibaba/qwen3-8-max.md) | Qwen | 25B |
| 36 | [hy3](https://opencode.ai/data/tencent/hy3.md) | Tencent | 15B |
| 37 | [grok-4.7](https://opencode.ai/data/xai/grok-4-7.md) | xAI | 13B |
| 38 | [hy4-preview](https://opencode.ai/data/tencent/hy4-preview.md) | Tencent | 12B |

## 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.