Muse Spark 1.3 Contributor
Ranked03across last week'sOpenCodeusage with14%of observed2-monthvolume.
上下文1M
输出131K
知识未知
发布2026年9月
输入Text、Image、Video、Pdf和Audio
趋势.近期 OpenCode token、独立用户和市场位置。
190T tokens+179%
2026年9月17日2026年11月11日
+179%
独立用户1.2M
已完成会话267,139,759
Token 份额14%
Weekly Retention69%
#03Rank#03
用量. 近期两个月窗口内的每日 OpenCode token 用量。
| 日期 | 每日 token |
|---|---|
| SEP 17 | 5.9T |
| SEP 18 | 5.9T |
| SEP 19 | 4.7T |
| SEP 20 | 4.8T |
| SEP 21 | 5.4T |
| SEP 22 | 5.7T |
| SEP 23 | 5.8T |
| SEP 24 | 5.4T |
| SEP 25 | 5.1T |
| SEP 26 | 5.1T |
| SEP 27 | 5.1T |
| SEP 28 | 5.5T |
| SEP 29 | 5.3T |
| SEP 30 | 4.8T |
| OCT 1 | 4.6T |
| OCT 2 | 4.4T |
| OCT 3 | 5T |
| OCT 4 | 5.2T |
| OCT 5 | 5.8T |
| OCT 6 | 6.1T |
| OCT 7 | 5.8T |
| OCT 8 | 5.9T |
| OCT 9 | 5.6T |
| OCT 10 | 5.8T |
| OCT 11 | 5.8T |
| OCT 12 | 5.9T |
| OCT 13 | 6.1T |
| OCT 14 | 6.1T |
| OCT 15 | 5.7T |
| OCT 16 | 5.3T |
| OCT 17 | 1.2T |
| OCT 18 | 1.1T |
| OCT 19 | 1.3T |
| OCT 20 | 1.2T |
| OCT 21 | 1.1T |
| OCT 22 | 1.1T |
| OCT 23 | 1.1T |
| OCT 24 | 1T |
| OCT 25 | 975B |
| OCT 26 | 1.2T |
| OCT 27 | 1.2T |
| OCT 28 | 1.2T |
| OCT 29 | 1.1T |
| OCT 30 | 1.1T |
| OCT 31 | 972B |
| NOV 1 | 928B |
| NOV 2 | 1.1T |
| NOV 3 | 1.1T |
| NOV 4 | 1T |
| NOV 5 | 1T |
| NOV 6 | 1T |
| NOV 7 | 881B |
| NOV 8 | 802B |
| NOV 9 | 998B |
| NOV 10 | 1T |
| NOV 11 | 331B |
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 |
|---|---|
| SEP 17 | 33K |
| SEP 18 | 33K |
| SEP 19 | 28K |
| SEP 20 | 25K |
| SEP 21 | 38K |
| SEP 22 | 36K |
| SEP 23 | 35K |
| SEP 24 | 34K |
| SEP 25 | 32K |
| SEP 26 | 29K |
| SEP 27 | 28K |
| SEP 28 | 34K |
| SEP 29 | 36K |
| SEP 30 | 34K |
| OCT 1 | 33K |
| OCT 2 | 32K |
| OCT 3 | 29K |
| OCT 4 | 29K |
| OCT 5 | 35K |
| OCT 6 | 38K |
| OCT 7 | 39K |
| OCT 8 | 37K |
| OCT 9 | 35K |
| OCT 10 | 31K |
| OCT 11 | 31K |
| OCT 12 | 37K |
| OCT 13 | 37K |
| OCT 14 | 36K |
| OCT 15 | 35K |
| OCT 16 | 34K |
| OCT 17 | 11K |
| OCT 18 | 7.9K |
| OCT 19 | 9.8K |
| OCT 20 | 9.3K |
| OCT 21 | 9.4K |
| OCT 22 | 9.4K |
| OCT 23 | 9.7K |
| OCT 24 | 8.2K |
| OCT 25 | 7.9K |
| OCT 26 | 9.8K |
| OCT 27 | 9.8K |
| OCT 28 | 9.8K |
| OCT 29 | 9.7K |
| OCT 30 | 9.3K |
| OCT 31 | 7.9K |
| NOV 1 | 7.4K |
| NOV 2 | 9.1K |
| NOV 3 | 9.4K |
| NOV 4 | 9.2K |
| NOV 5 | 9.4K |
| NOV 6 | 9.3K |
| NOV 7 | 8.4K |
| NOV 8 | 7.5K |
| NOV 9 | 9.1K |
| NOV 10 | 9.3K |
| NOV 11 | 6.1K |
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。
- 01deepseek-v4.1-flashDeepSeek154T token
- 02glm-5.3-flashZhipu7.2T token
- 03muse-spark-1.3-contributorMeta6.1T token
- 04beam-1.0-501b-a23bReflection5.1T token
- 05nemotron-3.5-super-vlNVIDIA3.3T token
- 06mimo-v2.6-flashXiaomi3.3T token
- 07inkling-2-smallThinking Machines2.5T token
- 08minimax-m3.1-flashMiniMax2.4T token
- 09muse-ember-1.0Meta2.2T token
- 10deepseek-v4.1-flash-1017DeepSeek1T token
Compare This Model. Other models to compare with this one.
Usage peerMuse Spark 1.3 Contributor vs deepseek-v4.1-flashMuse Spark 1.3 Contributor·deepseek-v4.1-flashUsage peerMuse Spark 1.3 Contributor vs glm-5.3-flashMuse Spark 1.3 Contributor·glm-5.3-flashUsage peerMuse Spark 1.3 Contributor vs beam-1.0-501b-a23bMuse Spark 1.3 Contributor·beam-1.0-501b-a23bSame lab pairMuse Spark 1.3 Contributor vs Muse EmberMuse Spark 1.3 Contributor·Muse Ember