# kimi-k3.1-pro-novita-test Usage, Cost & Rank | OpenCode Data

> kimi-k3.1-pro-novita-test ranked #50 by tokens across OpenCode last week, with 0% of tokens over the past two months.

- Page: https://opencode.ai/data/moonshot/kimi-k3-1-pro-novita-test
- JSON: https://opencode.ai/data/moonshot/kimi-k3-1-pro-novita-test.json
- Model ID: kimi-k3.1-pro-novita-test
- Lab: Moonshot
- Updated: 2026-11-12T20:13:01.000Z

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #50 |
| Tokens | 171K |
| Share of all tokens | 0% |
| Change vs previous 2 months | +100% |
| Unique users | 1 |
| Completed sessions | 1 |
| Average tokens per session | 171K |
| 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 |
| --- | --- | --- | --- |
| 2026-11-12 | 171K | 1 | 1 |
| 2026-11-13 | 0 | 0 | 0 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 0 | 100% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 46 | [claude-opus-5.5](https://opencode.ai/data/anthropic/claude-opus-5-5.md) | Anthropic | 20M |
| 47 | [deepseek/deepseek-v4.1-flash](https://opencode.ai/data/deepseek/deepseek-deepseek-v4-1-flash.md) | DeepSeek | 754K |
| 48 | [deepseek/deepseek-v4-flash](https://opencode.ai/data/deepseek/deepseek-deepseek-v4-flash.md) | DeepSeek | 226K |
| 49 | [z-ai/glm-5.3-flash](https://opencode.ai/data/zhipu/z-ai-glm-5-3-flash.md) | Zhipu | 176K |
| 50 | [kimi-k3.1-pro-novita-test](https://opencode.ai/data/moonshot/kimi-k3-1-pro-novita-test.md) | Moonshot | 171K |
| 51 | [kimi-k3.1-pro-siliconflow-test](https://opencode.ai/data/moonshot/kimi-k3-1-pro-siliconflow-test.md) | Moonshot | 170K |
| 52 | [z-ai/glm-4.6v-flash](https://opencode.ai/data/zhipu/z-ai-glm-4-6v-flash.md) | Zhipu | 170K |
| 53 | [test](https://opencode.ai/data/google/test.md) | Google | 154K |
| 54 | [claude-fable-5-1](https://opencode.ai/data/anthropic/claude-fable-5-1.md) | Anthropic | 21K |
| 55 | [z-ai/glm-4.7-flash](https://opencode.ai/data/zhipu/z-ai-glm-4-7-flash.md) | Zhipu | 17K |

## 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.