Muse Spark 1.2 Contributor
Ranked12across last week'sOpenCodeusage with4.2%of observed2-monthvolume.
上下文1M
输出131K
知识未知
发布2026年8月
输入Text、Image、Video、Pdf和Audio
趋势.近期 OpenCode token、独立用户和市场位置。
39T tokens+100%
2026年8月10日2026年10月4日
+100%
独立用户458K
已完成会话322,651,427
Token 份额4.2%
Weekly Retention79%
#12Rank#12
用量. 近期两个月窗口内的每日 OpenCode token 用量。
| 日期 | 每日 token |
|---|---|
| AUG 19 | 193B |
| AUG 20 | 916B |
| AUG 21 | 1.5T |
| AUG 22 | 1.2T |
| AUG 23 | 1.3T |
| AUG 24 | 1.4T |
| AUG 25 | 1.4T |
| AUG 26 | 1.7T |
| AUG 27 | 2.3T |
| AUG 28 | 2.1T |
| AUG 29 | 1.8T |
| AUG 30 | 1.9T |
| AUG 31 | 2.1T |
| SEP 1 | 2.3T |
| SEP 2 | 2.4T |
| SEP 3 | 1.5T |
| SEP 4 | 1.1T |
| SEP 5 | 767B |
| SEP 6 | 693B |
| SEP 7 | 762B |
| SEP 8 | 800B |
| SEP 9 | 700B |
| SEP 10 | 633B |
| SEP 11 | 494B |
| SEP 12 | 472B |
| SEP 13 | 487B |
| SEP 14 | 507B |
| SEP 15 | 502B |
| SEP 16 | 492B |
| SEP 17 | 407B |
| SEP 18 | 412B |
| SEP 19 | 425B |
| SEP 20 | 412B |
| SEP 21 | 455B |
| SEP 22 | 471B |
| SEP 23 | 452B |
| SEP 24 | 447B |
| SEP 25 | 269B |
| SEP 26 | 134B |
| SEP 27 | 120B |
| SEP 28 | 125B |
| SEP 29 | 106B |
| SEP 30 | 107B |
| OCT 1 | 103B |
| OCT 2 | 108B |
| OCT 3 | 68B |
| OCT 4 | 50B |
独立用户. 近期两个月窗口内的每日 OpenCode 独立用户。
| 日期 | 独立用户 |
|---|---|
| AUG 19 | 6.7K |
| AUG 20 | 16K |
| AUG 21 | 23K |
| AUG 22 | 17K |
| AUG 23 | 16K |
| AUG 24 | 16K |
| AUG 25 | 16K |
| AUG 26 | 20K |
| AUG 27 | 24K |
| AUG 28 | 22K |
| AUG 29 | 18K |
| AUG 30 | 19K |
| AUG 31 | 22K |
| SEP 1 | 22K |
| SEP 2 | 22K |
| SEP 3 | 18K |
| SEP 4 | 13K |
| SEP 5 | 9.3K |
| SEP 6 | 8.5K |
| SEP 7 | 9.9K |
| SEP 8 | 9.5K |
| SEP 9 | 8.6K |
| SEP 10 | 7.8K |
| SEP 11 | 6.9K |
| SEP 12 | 5.5K |
| SEP 13 | 6.1K |
| SEP 14 | 7.1K |
| SEP 15 | 7K |
| SEP 16 | 6.7K |
| SEP 17 | 5.2K |
| SEP 18 | 5.6K |
| SEP 19 | 6.3K |
| SEP 20 | 4.9K |
| SEP 21 | 5.3K |
| SEP 22 | 5.4K |
| SEP 23 | 5K |
| SEP 24 | 4.8K |
| SEP 25 | 2.8K |
| SEP 26 | 1.4K |
| SEP 27 | 1.1K |
| SEP 28 | 1.3K |
| SEP 29 | 1.3K |
| SEP 30 | 1.1K |
| OCT 1 | 1.1K |
| OCT 2 | 1.1K |
| OCT 3 | 813 |
| OCT 4 | 839 |
效率. 成本、缓存行为和平均 OpenCode 会话形态。
地理分布
同类模型. 按近期 OpenCode token 用量排列的相近模型。
- 08glm-5.3-flashZhipu2.1T token
- 09fledge-alpha817B token
- 10mimo-v2.5Xiaomi805B token
- 11deepseek-v4-flash-vision-expDeepSeek713B token
- 12muse-spark-1.2-contributorMeta667B token
- 13gpt-6-lunaOpenAI603B token
- 14deepseek-v4-proDeepSeek505B token
- 15mimo-v2.6-proXiaomi503B token
- 16nemotron-3.5-lightningNVIDIA360B token
- 17qwen3.8-flash280B token
Compare This Model. Other models to compare with this one.
Usage peerMuse Spark 1.2 Contributor vs glm-5.3-flashMuse Spark 1.2 Contributor·glm-5.3-flashUsage peerMuse Spark 1.2 Contributor vs fledge-alphaMuse Spark 1.2 Contributor·fledge-alphaUsage peerMuse Spark 1.2 Contributor vs mimo-v2.5Muse Spark 1.2 Contributor·mimo-v2.5Same lab pairMuse Spark 1.2 Contributor vs Muse Spark 1.3Muse Spark 1.2 Contributor·Muse Spark 1.3