GitHub[220K]試用 OpenCode

模型數據

查看哪些模型正在贏得真實使用量、使用組合如何變化，以及這對成本意味著什麼。

截至 2026年11月6日，過去 7 天內 Muse Spark 1.3 Contributor 以 1B token 領先 OpenCode 使用量，其次是 DeepSeek V4 Flash（0）和 jev-1.13（0）。

熱門模型. OpenCode 中各模型的使用情況。

熱門模型用量堆疊圖
日期muse-spark-1.3-contributordeepseek-v4-flashjev-1.13Other總計
SEP 120B0B0B0B0B
SEP 130B0B0B0B0B
SEP 140B0B0B0B0B
SEP 150B0B0B0B0B
SEP 160B0B0B0B0B
SEP 170B0B0B0B0B
SEP 180B0B0B0B0B
SEP 190B0B0B0B0B
SEP 200B0B0B0B0B
SEP 210B0B0B0B0B
SEP 220B0B0B0B0B
SEP 230B0B0B0B0B
SEP 240B0B0B0B0B
SEP 250B0B0B0B0B
SEP 260B0B0B0B0B
SEP 270B0B0B0B0B
SEP 280B0B0B0B0B
SEP 290B0B0B0B0B
SEP 300B0B0B0B0B
OCT 10B0B0B0B0B
OCT 20B0B0B0B0B
OCT 30B0B0B0B0B
OCT 40B0B0B0B0B
OCT 50B0B0B0B0B
OCT 60B0B0B0B0B
OCT 70B0B0B0B0B
OCT 80B0B0B0B0B
OCT 90B1B0B0B1B
OCT 100B1B0B0B1B
OCT 110B1B0B0B1B
OCT 120B2B0B0B2B
OCT 130B1B0B0B1B
OCT 140B1B0B0B1B
OCT 150B0B0B0B0B
OCT 160B0B0B0B0B
OCT 170B0B0B0B0B
OCT 180B0B0B0B0B
OCT 190B0B0B0B0B
OCT 200B0B0B0B0B
OCT 210B0B0B0B0B
OCT 220B0B0B0B0B
OCT 230B0B0B0B0B
OCT 240B0B0B0B0B
OCT 250B0B0B0B0B
OCT 260B0B0B0B0B
OCT 270B0B0B0B0B
OCT 280B0B0B0B0B
OCT 290B0B0B0B0B
OCT 300B0B0B0B0B
OCT 310B0B0B0B0B
NOV 10B0B0B0B0B
NOV 20B0B0B0B0B
NOV 30B0B0B0B0B
NOV 40B0B0B0B0B
NOV 50B0B0B0B0B
NOV 60B0B0B0B0B
了解更多熱門模型▸

不重複使用者. 按模型顯示的每日 OpenCode 不重複使用者。

按模型顯示的不重複使用者堆疊圖
日期deepseek-v4-flashmuse-spark-1.3-contributorjev-1.13Other總計
SEP 1200000
SEP 1320002
SEP 1420002
SEP 1501001
SEP 1600000
SEP 1700000
SEP 1800011
SEP 1900011
SEP 2000000
SEP 2110012
SEP 2200000
SEP 2310012
SEP 2400000
SEP 2531026
SEP 2600000
SEP 2700000
SEP 2800022
SEP 2900000
SEP 3000000
OCT 100000
OCT 200000
OCT 310001
OCT 400000
OCT 500000
OCT 600000
OCT 700000
OCT 800000
OCT 900000
OCT 1000000
OCT 1100000
OCT 1200000
OCT 1300000
OCT 1400000
OCT 1500000
OCT 1600000
OCT 1700000
OCT 1810001
OCT 1900000
OCT 2000000
OCT 2100000
OCT 2200000
OCT 2300000
OCT 2431015
OCT 2500000
OCT 2600000
OCT 2700000
OCT 2800000
OCT 2900000
OCT 3000000
OCT 3100000
NOV 100000
NOV 200000
NOV 300000
NOV 400000
NOV 500000
NOV 600000

Weekly Retention. Weekly users returning the next week.

No retention data

Retention appears after a complete return week is available.

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工作階段成本. 每個工作階段的平均成本。

無工作階段成本數據

沒有符合該產品且包含工作階段的模型列。

了解更多工作階段成本▸

Token 成本. 每 100 萬 token 的價格。

輸入$0.10

輸出$0.20

已快取$0.0020

了解更多TOKEN 成本▸

快取比例. 由快取提供的輸入 token 佔比。

快取比例0%

已快取0B

未快取0B

了解更多快取比例▸

市場佔有率. 按模型作者比較 token 佔有率。

按模型作者顯示的市場佔有率
日期DeepSeekMetaOtherOpenAI
SEP 13100.0%0.0%0.0%0.0%
SEP 14100.0%0.0%0.0%0.0%
SEP 150.0%100.0%0.0%0.0%
SEP 16100.0%0.0%0.0%0.0%
SEP 17100.0%0.0%0.0%0.0%
SEP 18100.0%0.0%0.0%0.0%
SEP 1996.8%0.0%3.2%0.0%
SEP 21100.0%0.0%0.0%0.0%
SEP 23100.0%0.0%0.0%0.0%
SEP 2598.7%1.3%0.0%0.0%
SEP 28100.0%0.0%0.0%0.0%
OCT 3100.0%0.0%0.0%0.0%
OCT 897.4%0.0%2.6%0.0%
OCT 997.7%2.3%0.0%0.0%
OCT 10100.0%0.0%0.0%0.0%
OCT 11100.0%0.0%0.0%0.0%
OCT 1292.8%7.2%0.0%0.0%
OCT 1399.2%0.8%0.0%0.0%
OCT 1499.8%0.2%0.0%0.0%
OCT 150.0%100.0%0.0%0.0%
OCT 160.0%100.0%0.0%0.0%
OCT 1739.8%60.2%0.0%0.0%
OCT 1850.2%0.0%49.8%0.0%
OCT 190.6%99.1%0.3%0.0%
OCT 20100.0%0.0%0.0%0.0%
OCT 2233.2%66.8%0.0%0.0%
OCT 23100.0%0.0%0.0%0.0%
OCT 2499.9%0.1%0.0%0.0%
OCT 25100.0%0.0%0.0%0.0%
OCT 2698.6%1.0%0.4%0.0%
OCT 2787.0%7.8%5.2%0.0%
OCT 2886.2%7.5%6.2%0.0%
OCT 2957.9%10.5%31.6%0.0%
OCT 3094.3%5.7%0.0%0.0%
OCT 3158.2%41.8%0.0%0.0%
NOV 188.8%11.2%0.0%0.0%
NOV 234.8%65.2%0.0%0.0%
NOV 386.6%13.4%0.0%0.0%
NOV 41.6%98.4%0.0%0.0%
NOV 51.1%98.9%0.0%0.0%
NOV 61.0%99.0%0.0%0.0%
  1. 01Meta202M token99.0%
  2. 02DeepSeek2M token1.0%

[*]NOV 6 2026

了解更多市場佔有率▸

地理分布

了解更多地理分布▸

方法說明. 這些數據的收集方式。

更新
每小時彙總一次。日和週均以 UTC 劃分。
Token
每個請求的輸入、輸出、推理和已快取 token。
使用者和工作階段
不重複使用者數和 OpenCode 工作階段數的近似值。
成本
工作階段成本是每個 OpenCode 工作階段的平均成本。Token 價格為 OpenCode 模型目錄中的定價。
留存率
某一週使用某模型的使用者中，下一週再次使用該模型的使用者佔比。
引用
引用時請註明 OpenCode Data（opencode.ai/data）以及頁面頂部顯示的更新時間。

Model Comparisons. Popular model pairs from the leaderboard.