GitHub[220K]试用 OpenCode

模型数据

查看哪些模型正在赢得真实使用量、使用组合如何变化，以及这对成本意味着什么。

截至 2026年10月31日，过去 7 天内 DeepSeek V4.1 Flash 以 122T token 领跑 OpenCode 使用量，其次是 Muse Spark 1.3 Contributor（7T）和 GLM-5.3-Flash（6.5T）。

热门模型. OpenCode 中各模型的使用情况。

热门模型用量堆叠图
日期deepseek-v4.1-flashmuse-spark-1.3-contributorglm-5.3-flashbeam-1.0-501b-a23bmimo-v2.6-flashicemandeepseek-v4.1-flash-1017nemotron-3.5-super-vlgpt-6-lunaOther总计
SEP 60B4.6T343B0B0B0B0B0B0B6.1T11T
SEP 70B4.5T516B0B0B0B0B0B0B7.2T12T
SEP 80B4.6T506B0B0B0B0B0B0B7.4T12T
SEP 90B5.7T546B0B0B0B0B0B0B7.0T13T
SEP 103.0T5.9T603B0B0B0B0B0B0B6.9T16T
SEP 115.0T5.2T468B0B0B0B0B0B0B5.4T16T
SEP 125.4T5.5T400B0B0B0B0B0B0B5.1T16T
SEP 135.6T4.4T403B0B0B0B0B0B0B4.9T15T
SEP 146.5T5.0T624B0B0B0B0B0B0B5.8T18T
SEP 157.5T5.1T635B0B0B0B0B0B0B5.9T19T
SEP 168.2T5.3T596B0B0B0B0B0B0B6.0T20T
SEP 178.8T5.9T566B0B0B0B0B0B0B5.6T21T
SEP 188.2T5.9T487B0B0B0B0B0B0B5.3T20T
SEP 196.5T4.7T380B0B0B0B0B0B0B4.6T16T
SEP 206.9T4.8T426B0B0B0B0B0B0B4.7T17T
SEP 218.9T5.4T566B0B32B0B0B0B0B5.4T20T
SEP 228.0T5.7T506B0B941B0B0B0B0B5.3T20T
SEP 237.0T5.8T446B0B1.2T0B0B0B8B6.1T21T
SEP 246.2T5.4T402B0B1.2T0B0B0B81B11T25T
SEP 254.6T5.1T370B0B1.3T0B0B0B97B12T24T
SEP 264.3T5.1T309B0B1.2T0B0B0B86B10T21T
SEP 274.4T5.1T299B0B1.2T0B0B0B85B11T22T
SEP 286.3T5.5T413B0B1.5T0B0B0B131B12T26T
SEP 296.5T5.3T408B0B1.5T0B0B0B142B13T26T
SEP 305.8T4.8T389B0B1.5T0B0B0B120B13T25T
OCT 15.0T4.6T300B0B1.4T0B0B0B82B12T23T
OCT 24.9T4.4T277B0B1.4T0B0B0B53B11T22T
OCT 34.5T5.0T245B0B1.3T0B0B0B47B11T22T
OCT 44.6T5.2T253B0B1.3T0B0B0B72B11T23T
OCT 55.6T5.8T327B0B1.5T0B0B0B109B12T26T
OCT 66.0T6.1T335B0B2.2T0B0B0B151B8.7T24T
OCT 75.9T5.8T361B0B2.4T0B0B0B151B6.9T22T
OCT 86.6T5.9T381B0B2.4T0B0B0B137B7.0T22T
OCT 97.4T5.6T391B0B1.8T0B0B0B127B7.3T23T
OCT 107.3T5.8T352B0B1.5T0B0B0B111B7.2T22T
OCT 116.7T5.8T317B0B1.3T0B0B0B102B6.4T21T
OCT 129.4T5.9T485B0B1.6T0B0B0B143B6.4T24T
OCT 1311T6.1T462B135B1.6T0B0B0B139B6.3T26T
OCT 1411T6.1T474B340B1.6T0B0B0B137B5.9T26T
OCT 1513T5.7T489B330B1.8T0B0B87B131B5.5T27T
OCT 1615T5.3T758B427B1.6T0B0B293B127B4.0T27T
OCT 1714T1.2T1.4T836B1.3T0B0B374B108B3.7T23T
OCT 1813T1.1T1.2T761B1.4T0B0B334B98B3.7T22T
OCT 1918T1.3T1.5T822B1.7T0B71B335B147B6.4T30T
OCT 2019T1.2T1.5T679B1.6T0B22B331B145B12T37T
OCT 2119T1.1T1.4T626B1.2T0B25B307B138B16T40T
OCT 2218T1.1T1.5T817B933B0B388B291B141B8.9T32T
OCT 2318T1.1T1.4T1.0T815B18B551B279B135B1.5T24T
OCT 2415T1.0T833B722B517B417B6B140B116B1.1T19T
OCT 2516T975B910B762B571B262B394B148B120B1.1T21T
OCT 2620T1.2T1.1T849B715B176B803B137B168B1.1T26T
OCT 2721T1.2T1.2T870B678B585B164B223B162B953B27T
OCT 2822T1.2T1.1T859B648B594B0B221B155B1.0T27T
OCT 2920T1.1T1.0T893B604B170B84B169B153B1.1T26T
OCT 3019T1.1T932B926B575B95B143B130B142B1.2T24T
OCT 313.9T206B180B182B112B19B45B29B24B210B4.9T
01
deepseek-v4.1-flash122T token
DeepSeek+2% 较上周
02
muse-spark-1.3-contributor7.0T token
Meta-11% 较上周
03
glm-5.3-flash6.5T token
Zhipu-31% 较上周
04
beam-1.0-501b-a23b5.3T token
Reflection-2% 较上周
05
mimo-v2.6-flash3.9T token
Xiaomi-52% 较上周
06
iceman1.9T token
+338% 较上周
07
deepseek-v4.1-flash-10171.6T token
DeepSeek+54% 较上周
08
nemotron-3.5-super-vl1.1T token
NVIDIA-48% 较上周
09
gpt-6-luna924B token
OpenAI0% 较上周
10
deepseek-v4-pro801B token
DeepSeek+16% 较上周
11
minimax-m3.1-flash662B token
MiniMax-98% 较上周
12
mimo-v2.6-pro528B token
Xiaomi+1% 较上周
13
nemotron-3.5-lightning454B token
NVIDIA-21% 较上周
14
flint-40b399B token
Recursive+438% 较上周
15
claude-haiku-5-5361B token
Anthropic+16% 较上周
16
deepseek-v4p1-flash336B token
DeepSeek新
17
minimax-m3334B token
MiniMax+35% 较上周
18
qwen3.8-flash307B token
Qwen+3% 较上周
了解更多热门模型▸

独立用户. 按模型显示的每日 OpenCode 独立用户。

按模型显示的独立用户堆叠图
日期deepseek-v4.1-flashgpt-6-lunaglm-5.3-flashmimo-v2.6-flashbeam-1.0-501b-a23bmuse-spark-1.3-contributoricemandeepseek-v4-proclaude-haiku-5-5Other总计
SEP 60015K0028K08.8K0192K244K
SEP 70021K0033K012K0241K307K
SEP 80021K0035K011K0231K297K
SEP 90020K0034K011K0217K281K
SEP 1032K021K0035K012K0220K318K
SEP 1143K017K0033K08.7K0190K293K
SEP 1238K013K0031K06.0K0146K234K
SEP 1339K012K0031K06.0K0145K233K
SEP 1454K020K0037K09.3K0195K316K
SEP 1555K020K0037K08.8K0194K315K
SEP 1658K019K0037K08.5K0205K328K
SEP 1768K020K0033K08.6K0203K332K
SEP 1863K019K0033K07.6K0171K293K
SEP 1953K015K0028K06.7K0131K234K
SEP 2054K016K0025K06.9K0122K223K
SEP 2180K021K2.2K038K09.6K0169K320K
SEP 2266K019K41K036K08.2K0162K333K
SEP 2362K2.5K18K39K035K07.4K0145K308K
SEP 2460K12K16K37K034K06.8K0140K306K
SEP 2549K12K13K21K032K05.8K0127K260K
SEP 2645K11K12K18K029K04.9K0112K231K
SEP 2746K12K12K17K028K04.8K0113K233K
SEP 2862K16K15K22K034K07.1K0150K307K
SEP 2968K17K15K23K036K07.1K0151K317K
SEP 3061K16K15K22K034K06.6K0145K301K
OCT 156K15K13K22K033K05.9K0132K277K
OCT 254K15K13K22K032K05.7K0130K271K
OCT 346K13K11K18K029K04.5K0116K236K
OCT 445K13K11K17K029K04.5K0114K234K
OCT 554K17K13K21K035K06.1K0138K284K
OCT 658K17K14K41K038K06.2K0141K315K
OCT 765K18K14K42K039K06.2K691138K321K
OCT 874K20K15K42K037K06.7K4.9K148K347K
OCT 988K20K15K31K035K06.4K5.4K141K341K
OCT 1080K17K13K28K031K05.3K4.8K128K307K
OCT 1173K16K11K22K031K04.8K4.4K115K278K
OCT 1299K24K16K29K037K06.7K6.5K142K360K
OCT 13102K26K16K27K6.7K37K07.1K6.3K138K367K
OCT 14107K28K16K32K11K36K07.6K6.3K132K376K
OCT 15123K29K17K42K8.9K35K08.1K6.6K130K399K
OCT 16128K27K27K42K11K34K07.5K5.8K125K408K
OCT 17121K24K31K39K14K11K06.3K4.9K109K359K
OCT 1898K21K23K28K12K7.9K05.4K4.2K83K282K
OCT 19137K32K30K36K13K9.8K07.8K6.2K117K388K
OCT 20142K33K30K35K12K9.3K07.5K6.1K118K393K
OCT 21144K34K32K27K12K9.4K07.7K6.2K140K412K
OCT 22149K34K32K24K14K9.4K07.7K6.3K136K411K
OCT 23152K34K32K22K16K9.7K1.3K7.2K6.0K99K379K
OCT 24122K28K25K14K13K8.2K11K5.8K5.0K71K303K
OCT 25116K29K24K14K13K7.9K7.5K5.8K5.1K73K296K
OCT 26147K40K30K18K15K9.8K6.9K8.4K6.9K92K374K
OCT 27154K42K31K18K16K9.8K14K8.9K7.1K77K378K
OCT 28158K42K30K18K15K9.8K13K8.7K7.3K71K374K
OCT 29161K42K31K18K16K9.7K5.1K8.6K7.3K74K372K
OCT 30153K40K29K17K16K9.2K3.4K7.8K6.9K74K357K
OCT 3164K10K8.6K5.5K5.2K3.9K8892.1K1.8K19K122K

Weekly Retention. Weekly users returning the next week.

RankModelRetentionRateEligible
01mimo-v2.6-flash77.7%6.1K
02minimax-m3.1-flash75.4%11K
03muse-spark-1.3-contributor69.3%57K
04deepseek-v4.1-flash69.2%413K
05muse-spark-1.2-contributor67.7%3.8K
06mimo-v2.566.9%18K
07mimo-v2.6-pro64.5%5.6K
08longcat-2.064.3%753
09hy364.0%1.9K
10omen-alpha63.4%4.2K
11beam-1.0-501b-a23b63.3%983
12deepseek-v4-flash63.1%139K
13minimax-m2.563.1%179
14longcat-2.5-preview62.6%2.8K
15glm-5.3-flash62.5%83K
了解更多热门模型▸

会话成本. 每次会话的平均成本。

成本 / 会话

Token / 会话

成本/会话$0.0192

Token/会话3.4M

了解更多会话成本▸

Token 成本. 每 100 万 token 的价格。

输入$0.14

输出$0.28

已缓存$0.0028

了解更多TOKEN 成本▸

缓存比例. 从缓存提供的输入 token 占比。

缓存比例97%

已缓存118T

未缓存3.3T

了解更多缓存比例▸

市场份额. 按模型作者比较 token 份额。

按模型作者显示的市场份额
日期DeepSeekMetaMiniMaxXiaomiZhipuNVIDIAOtherReflectionMeituan
SEP 628.3%48.0%0.3%10.8%3.4%4.7%4.5%0.0%0.1%
SEP 730.4%43.0%0.4%11.6%4.6%4.2%5.5%0.0%0.1%
SEP 831.2%43.1%0.5%12.1%4.5%3.1%5.5%0.0%0.1%
SEP 927.8%48.0%0.4%11.3%4.4%3.0%5.0%0.0%0.1%
SEP 1040.1%39.7%0.3%10.3%3.9%2.5%3.0%0.0%0.1%
SEP 1148.9%35.7%0.3%8.1%3.1%2.0%1.9%0.0%0.1%
SEP 1250.3%36.4%0.2%5.9%2.6%3.0%1.6%0.0%0.0%
SEP 1354.6%31.9%0.2%6.5%2.8%2.3%1.6%0.0%0.0%
SEP 1453.7%30.7%0.3%7.6%3.7%1.9%2.0%0.0%0.0%
SEP 1555.7%29.3%0.3%7.1%3.5%2.1%2.0%0.0%0.0%
SEP 1656.6%28.8%0.3%6.5%3.2%2.3%2.3%0.0%0.0%
SEP 1755.9%30.2%0.2%4.8%2.9%2.5%3.5%0.0%0.0%
SEP 1855.8%31.7%0.2%4.7%2.6%3.1%1.8%0.0%0.0%
SEP 1955.4%31.7%0.2%4.9%2.5%3.4%1.9%0.0%0.0%
SEP 2056.3%30.8%0.2%4.9%2.7%3.2%1.8%0.0%0.0%
SEP 2158.3%29.1%0.2%4.9%3.0%2.6%1.9%0.0%0.0%
SEP 2254.3%29.9%0.2%8.5%2.7%2.7%1.7%0.0%0.0%
SEP 2348.4%30.7%7.4%7.8%2.3%1.7%1.6%0.0%0.0%
SEP 2437.1%23.9%28.0%6.0%1.8%1.8%1.4%0.0%0.0%
SEP 2527.0%22.6%37.9%6.6%1.7%2.8%1.4%0.0%0.0%
SEP 2624.7%24.5%37.1%6.6%1.5%3.6%1.4%0.0%0.7%
SEP 2723.9%23.8%38.1%6.5%1.5%3.2%1.3%0.0%1.7%
SEP 2830.0%21.6%33.8%6.7%1.7%2.7%1.4%0.0%2.1%
SEP 2929.8%20.4%36.5%6.6%1.7%1.9%1.1%0.0%2.1%
SEP 3027.5%19.2%39.8%6.7%1.7%1.9%1.0%0.0%2.2%
OCT 125.0%19.9%41.7%6.8%1.4%2.4%1.0%0.0%1.8%
OCT 225.4%20.1%40.1%7.2%1.4%2.6%1.8%0.0%1.4%
OCT 323.8%23.2%38.5%6.9%1.2%2.9%2.2%0.0%1.4%
OCT 422.9%23.2%39.3%6.6%1.2%3.2%2.2%0.0%1.2%
OCT 524.5%22.8%38.7%6.6%1.4%2.5%2.4%0.0%1.1%
OCT 630.0%26.1%24.7%10.3%1.6%2.5%3.2%0.0%1.6%
OCT 732.8%27.2%18.2%11.8%1.8%3.1%3.3%0.0%1.7%
OCT 834.5%26.6%16.7%11.6%1.9%3.0%4.2%0.0%1.6%
OCT 937.5%25.0%15.8%8.4%1.9%3.3%6.6%0.0%1.6%
OCT 1036.9%26.1%15.1%7.4%1.7%3.5%7.8%0.0%1.4%
OCT 1136.1%28.4%14.6%6.9%1.7%4.1%7.0%0.0%1.3%
OCT 1243.2%25.0%13.2%7.5%2.2%3.6%4.1%0.0%1.2%
OCT 1345.7%24.1%12.4%7.0%2.0%3.2%4.1%0.5%1.0%
OCT 1445.4%23.8%11.8%6.9%2.0%3.2%4.3%1.3%1.3%
OCT 1548.8%21.5%11.0%7.3%2.0%2.7%4.1%1.2%1.4%
OCT 1655.3%19.5%9.2%6.6%2.9%1.4%2.2%1.6%1.4%
OCT 1762.3%5.4%11.4%6.0%6.3%2.0%1.3%3.7%1.7%
OCT 1861.6%5.1%10.4%7.1%5.5%4.0%1.2%3.5%1.5%
OCT 1960.8%4.3%15.6%6.1%5.1%3.1%1.3%2.7%1.1%
OCT 2053.2%3.3%28.1%4.6%4.2%2.9%1.0%1.8%0.9%
OCT 2148.2%2.7%36.3%3.4%3.7%2.8%0.9%1.6%0.4%
OCT 2258.3%3.5%23.3%3.3%4.8%3.2%1.1%2.5%0.0%
OCT 2375.4%4.7%0.8%3.9%5.7%3.7%1.5%4.2%0.1%
OCT 2476.0%5.3%0.9%3.3%4.5%2.3%3.9%3.7%0.2%
OCT 2577.8%4.7%0.7%3.4%4.5%2.2%2.9%3.7%0.1%
OCT 2679.9%4.7%0.8%3.4%4.6%0.8%2.5%3.3%0.1%
OCT 2779.3%4.5%0.7%3.1%4.4%1.1%3.8%3.2%0.0%
OCT 2879.8%4.3%0.6%2.9%4.1%1.0%4.1%3.1%0.0%
OCT 2980.7%4.4%0.6%2.7%4.2%1.0%2.9%3.5%0.0%
OCT 3080.7%4.6%0.6%2.7%4.0%0.9%2.7%3.8%0.0%
OCT 3181.8%4.2%0.4%2.5%3.8%0.9%2.5%3.7%0.0%
  1. 01DeepSeek4.0T token81.8%
  2. 02Meta207B token4.2%
  3. 03Zhipu187B token3.8%
  4. 04Reflection182B token3.7%
  5. 05Xiaomi123B token2.5%
  7. 07NVIDIA44B token0.9%
  8. 08MiniMax20B token0.4%
  9. 09Meituan1.6B token0.0%

[*]OCT 31 2026

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地理分布

了解更多地理分布▸

方法说明. 这些数据的收集方式。

更新
每小时汇总一次。日和周均按 UTC 划分。
Token
每个请求的输入、输出、推理和已缓存 token。
用户和会话
独立用户数和 OpenCode 会话数的近似值。
成本
会话成本是每次 OpenCode 会话的平均成本。Token 价格为 OpenCode 模型目录中的标价。
留存率
某一周使用某模型的用户中，下一周再次使用该模型的用户占比。
引用
引用时请注明 OpenCode Data（opencode.ai/data）以及页面顶部显示的更新时间。

Model Comparisons. Popular model pairs from the leaderboard.