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

> deepseek-v4p1-flash-spot ranked #44 by tokens across OpenCode last week, with 0% of tokens over the past two months.

- Page: https://opencode.ai/data/deepseek/deepseek-v4p1-flash-spot
- JSON: https://opencode.ai/data/deepseek/deepseek-v4p1-flash-spot.json
- Model ID: deepseek-v4p1-flash-spot
- Lab: DeepSeek
- Updated: 2026-11-11T09:08:37.000Z

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #44 |
| Tokens | 614M |
| Share of all tokens | 0% |
| Change vs previous 2 months | +100% |
| Unique users | 725 |
| Completed sessions | 6,409 |
| Average tokens per session | 96K |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 70.2% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-11-11 | 614M | 725 | 6,409 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | China | 100M | 13.9% |
| 2 | India | 100M | 10.5% |
| 3 | Russia | 0 | 7.1% |
| 4 | Indonesia | 0 | 6.6% |
| 5 | United States | 0 | 5.5% |
| 6 | Germany | 0 | 4.8% |
| 7 | Spain | 0 | 2.9% |
| 8 | Vietnam | 0 | 2.6% |
| 9 | Pakistan | 0 | 2.1% |
| 10 | France | 0 | 2% |
| 11 | Nigeria | 0 | 1.9% |
| 12 | Netherlands | 0 | 1.7% |
| 13 | Thailand | 0 | 1.6% |
| 14 | Italy | 0 | 1.6% |
| 15 | Türkiye | 0 | 1.5% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 40 | [hy4-preview](https://opencode.ai/data/tencent/hy4-preview.md) | Tencent | 13B |
| 41 | [frantic-ferret](https://opencode.ai/data/unknown/frantic-ferret.md) | - | 9.9B |
| 42 | [step-5-preview](https://opencode.ai/data/stepfun/step-5-preview.md) | StepFun | 7.3B |
| 43 | [deepseek-v4p1-flash-1017](https://opencode.ai/data/deepseek/deepseek-v4p1-flash-1017.md) | DeepSeek | 7.3B |
| 44 | [deepseek-v4p1-flash-spot](https://opencode.ai/data/deepseek/deepseek-v4p1-flash-spot.md) | DeepSeek | 614M |
| 45 | [gpt-5-nano](https://opencode.ai/data/openai/gpt-5-nano.md) | OpenAI | 324M |
| 46 | [claude-opus-5.5](https://opencode.ai/data/anthropic/claude-opus-5-5.md) | Anthropic | 20M |
| 47 | [qiniu/conatus](https://opencode.ai/data/custom/qiniu-conatus.md) | Custom | 16M |
| 48 | [dungcsnd113/deepseek-v4.1-flash-1017](https://opencode.ai/data/deepseek/dungcsnd113-deepseek-v4-1-flash-1017.md) | DeepSeek | 15M |
| 49 | [deepseek/deepseek-v4.1-flash](https://opencode.ai/data/deepseek/deepseek-deepseek-v4-1-flash.md) | DeepSeek | 918K |

## 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.