# union-alpha Usage, Cost & Rank | OpenCode Data

> union-alpha had 0.0% of tokens across OpenCode over the past two months.

- Page: https://opencode.ai/data/unknown/union-alpha
- JSON: https://opencode.ai/data/unknown/union-alpha.json
- Model ID: union-alpha
- Lab: Unknown
- Updated: 2026-10-29T06:13:07.000Z

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | Unranked |
| Tokens | 470B |
| Share of all tokens | 0.0% |
| Change vs previous 2 months | +100% |
| Unique users | 34K |
| Completed sessions | 542,982 |
| Average tokens per session | 865K |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 76.8% |
| Weekly retention | 7.1% |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-09-15 | 104 | 2 | 3 |
| 2026-09-16 | 106B | 11K | 153,877 |
| 2026-09-17 | 364B | 22K | 319,415 |
| 2026-09-18 | 0 | 1K | 65,805 |
| 2026-09-19 | 0 | 0 | 3,085 |
| 2026-09-20 | 0 | 0 | 796 |
| 2026-09-21 | 0 | 0 | 0 |
| 2026-09-22 | 0 | 0 | 0 |
| 2026-09-23 | 0 | 0 | 0 |
| 2026-09-24 | 0 | 0 | 0 |
| 2026-09-25 | 0 | 0 | 0 |
| 2026-09-26 | 0 | 0 | 0 |
| 2026-09-27 | 0 | 0 | 0 |
| 2026-09-28 | 0 | 0 | 0 |
| 2026-09-29 | 0 | 0 | 0 |
| 2026-09-30 | 0 | 0 | 0 |
| 2026-10-01 | 0 | 0 | 0 |
| 2026-10-02 | 0 | 0 | 0 |
| 2026-10-03 | 0 | 0 | 0 |
| 2026-10-04 | 0 | 0 | 0 |
| 2026-10-05 | 0 | 1 | 1 |
| 2026-10-06 | 0 | 0 | 0 |
| 2026-10-07 | 0 | 0 | 0 |
| 2026-10-08 | 0 | 0 | 0 |
| 2026-10-09 | 0 | 0 | 0 |
| 2026-10-10 | 0 | 0 | 0 |
| 2026-10-11 | 0 | 0 | 0 |
| 2026-10-12 | 0 | 0 | 0 |
| 2026-10-13 | 0 | 0 | 0 |
| 2026-10-14 | 0 | 0 | 0 |
| 2026-10-15 | 0 | 0 | 0 |
| 2026-10-16 | 0 | 0 | 0 |
| 2026-10-17 | 0 | 0 | 0 |
| 2026-10-18 | 0 | 0 | 0 |
| 2026-10-19 | 0 | 0 | 0 |
| 2026-10-20 | 0 | 0 | 0 |
| 2026-10-21 | 0 | 0 | 0 |
| 2026-10-22 | 0 | 0 | 0 |
| 2026-10-23 | 0 | 0 | 0 |
| 2026-10-24 | 0 | 0 | 0 |
| 2026-10-25 | 0 | 0 | 0 |
| 2026-10-26 | 0 | 0 | 0 |
| 2026-10-27 | 0 | 0 | 0 |
| 2026-10-28 | 0 | 0 | 0 |
| 2026-10-29 | 0 | 0 | 0 |
| 2026-10-30 | 0 | 0 | 0 |
| 2025-10-31 | 0 | 0 | 0 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 80B | 17.1% |
| 2 | China | 33B | 7.1% |
| 3 | India | 30B | 6.4% |
| 4 | Germany | 26B | 5.6% |
| 5 | Japan | 22B | 4.6% |
| 6 | United Kingdom | 19B | 4.1% |
| 7 | South Korea | 18B | 3.8% |
| 8 | Brazil | 16B | 3.3% |
| 9 | France | 15B | 3.1% |
| 10 | Singapore | 13B | 2.7% |
| 11 | Türkiye | 9.7B | 2.1% |
| 12 | Netherlands | 9.6B | 2% |
| 13 | Canada | 9.3B | 2% |
| 14 | Spain | 8.9B | 1.9% |
| 15 | Australia | 8.3B | 1.8% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 1 | [deepseek-v4.1-flash](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md) | DeepSeek | 122T |
| 2 | [muse-spark-1.3-contributor](https://opencode.ai/data/meta/muse-spark-1-3-contributor.md) | Meta | 7T |
| 3 | [glm-5.3-flash](https://opencode.ai/data/zhipuai/glm-5-3-flash.md) | Zhipu | 6.5T |
| 4 | [beam-1.0-501b-a23b](https://opencode.ai/data/reflection/beam-1-0-501b-a23b.md) | Reflection | 5.3T |
| 5 | [mimo-v2.6-flash](https://opencode.ai/data/xiaomi/mimo-v2-6-flash.md) | Xiaomi | 3.9T |
| 6 | [iceman](https://opencode.ai/data/unknown/iceman.md) | - | 1.9T |
| 7 | [deepseek-v4.1-flash-1017](https://opencode.ai/data/deepseek/deepseek-v4-1-flash-1017.md) | DeepSeek | 1.6T |
| 8 | [nemotron-3.5-super-vl](https://opencode.ai/data/nvidia/nemotron-3-5-super-vl.md) | NVIDIA | 1.1T |
| 9 | [gpt-6-luna](https://opencode.ai/data/openai/gpt-6-luna.md) | OpenAI | 924B |
| 10 | [deepseek-v4-pro](https://opencode.ai/data/deepseek/deepseek-v4-pro.md) | DeepSeek | 801B |

## 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.