# jev-1.13 Usage, Cost & Rank | OpenCode Data

> jev-1.13 ranked #35 by tokens across OpenCode last week, with 0% of tokens over the past two months.

- Page: https://opencode.ai/data/unknown/jev-1-13
- JSON: https://opencode.ai/data/unknown/jev-1-13.json
- Model ID: jev-1.13
- Lab: Unknown
- Updated: 2026-10-02T08:39:37.000Z

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #35 |
| Tokens | 15B |
| Share of all tokens | 0% |
| Change vs previous 2 months | +100% |
| Unique users | 15K |
| Completed sessions | 849,403 |
| Average tokens per session | 17K |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 0% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-09-19 | 48M | 2.1K | 9,361 |
| 2026-09-20 | 609M | 2.5K | 52,188 |
| 2026-09-21 | 346M | 493 | 12,020 |
| 2026-09-22 | 530M | 888 | 17,382 |
| 2026-09-23 | 5.8B | 934 | 37,207 |
| 2026-09-24 | 1B | 878 | 47,780 |
| 2026-09-25 | 356M | 831 | 27,614 |
| 2026-09-26 | 512M | 824 | 24,639 |
| 2026-09-27 | 553M | 856 | 20,432 |
| 2026-09-28 | 1.8B | 1.1K | 345,958 |
| 2026-09-29 | 1.1B | 1K | 102,300 |
| 2026-09-30 | 982M | 989 | 76,021 |
| 2026-10-01 | 620M | 930 | 46,267 |
| 2026-10-02 | 470M | 500 | 28,598 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 2.9B | 19.8% |
| 2 | Brazil | 1.4B | 9.4% |
| 3 | Germany | 700M | 5% |
| 4 | Japan | 700M | 4.8% |
| 5 | China | 600M | 4% |
| 6 | India | 600M | 4% |
| 7 | Vietnam | 500M | 3.5% |
| 8 | Singapore | 400M | 3% |
| 9 | United Kingdom | 400M | 3% |
| 10 | Canada | 400M | 2.8% |
| 11 | France | 300M | 2.2% |
| 12 | Hong Kong | 300M | 1.7% |
| 13 | Mexico | 300M | 1.7% |
| 14 | Türkiye | 200M | 1.7% |
| 15 | Spain | 200M | 1.6% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 31 | [minimax-m2.7](https://opencode.ai/data/minimax/minimax-m2-7.md) | MiniMax | 15B |
| 32 | [hy4-preview](https://opencode.ai/data/tencent/hy4-preview.md) | Tencent | 13B |
| 33 | [omen-alpha](https://opencode.ai/data/unknown/omen-alpha.md) | - | 12B |
| 34 | [grok-4.7](https://opencode.ai/data/xai/grok-4-7.md) | xAI | 9.6B |
| 35 | [jev-1.13](https://opencode.ai/data/unknown/jev-1-13.md) | - | 6B |
| 36 | [kimi-k2.6](https://opencode.ai/data/moonshotai/kimi-k2-6.md) | Moonshot | 5.5B |
| 37 | [grok-4.6](https://opencode.ai/data/xai/grok-4-6.md) | xAI | 2.8B |
| 38 | [glm-5.1](https://opencode.ai/data/zhipuai/glm-5-1.md) | Zhipu | 2.5B |
| 39 | [qwen3.6-plus](https://opencode.ai/data/alibaba/qwen3-6-plus.md) | Qwen | 1.9B |
| 40 | [test-novita-dsf4.1](https://opencode.ai/data/deepseek/test-novita-dsf4-1.md) | DeepSeek | 986M |

## 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.