# deepseek-v4.1-flash-1017-op Usage, Cost & Rank | OpenCode Data

> deepseek-v4.1-flash-1017-op ranked #42 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-1017-op
- JSON: https://opencode.ai/data/deepseek/deepseek-v4-1-flash-1017-op.json
- Model ID: deepseek-v4.1-flash-1017-op
- Lab: DeepSeek
- Updated: 2026-10-27T12:48:56.000Z

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #42 |
| Tokens | 4B |
| Share of all tokens | 0% |
| Change vs previous 2 months | +100% |
| Unique users | 144 |
| Completed sessions | 1,046 |
| Average tokens per session | 3.9M |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 96.1% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-10-27 | 4B | 144 | 1,046 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | Russia | 500M | 12% |
| 2 | India | 400M | 11.1% |
| 3 | China | 300M | 7.5% |
| 4 | Germany | 200M | 4.7% |
| 5 | Spain | 200M | 3.9% |
| 6 | France | 200M | 3.8% |
| 7 | Brazil | 100M | 3.5% |
| 8 | Indonesia | 100M | 2.8% |
| 9 | Egypt | 100M | 2.8% |
| 10 | Pakistan | 100M | 2.6% |
| 11 | Nigeria | 100M | 2.2% |
| 12 | United Kingdom | 100M | 1.9% |
| 13 | Tunisia | 100M | 1.9% |
| 14 | United States | 100M | 1.7% |
| 15 | Palestine | 100M | 1.7% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 38 | [grok-4.7](https://opencode.ai/data/xai/grok-4-7.md) | xAI | 13B |
| 39 | [hy4-preview](https://opencode.ai/data/tencent/hy4-preview.md) | Tencent | 12B |
| 40 | [exo](https://opencode.ai/data/unknown/exo.md) | - | 10B |
| 41 | [iceman-contributor](https://opencode.ai/data/unknown/iceman-contributor.md) | - | 8.9B |
| 42 | [deepseek-v4.1-flash-1017-op](https://opencode.ai/data/deepseek/deepseek-v4-1-flash-1017-op.md) | DeepSeek | 4B |
| 43 | [jev-1.13](https://opencode.ai/data/unknown/jev-1-13.md) | - | 3.3B |
| 44 | [kimi-k2.6](https://opencode.ai/data/moonshotai/kimi-k2-6.md) | Moonshot | 2.6B |
| 45 | [glm-5.1](https://opencode.ai/data/zhipuai/glm-5-1.md) | Zhipu | 1.4B |
| 46 | [qwen3.6-plus](https://opencode.ai/data/alibaba/qwen3-6-plus.md) | Qwen | 1.1B |
| 47 | [grok-4.6](https://opencode.ai/data/xai/grok-4-6.md) | xAI | 588M |

## 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.