GitHub[220K]Prøv OpenCode

Modeldata

Se hvilke modeller der vinder reel brug, hvordan mixet skifter, og hvad det betyder for omkostningerne.

Pr. 4. november 2026 lå DeepSeek V4.1 Flash øverst i OpenCode-brugen de sidste 7 dage med 146T tokens, efterfulgt af Muse Spark 1.3 Contributor (7T) og GLM-5.3-Flash (6.5T).

Topmodeller. Brug af modeller på tværs af OpenCode.

Stablet brugsdiagram for topmodeller
Datodeepseek-v4.1-flashmuse-spark-1.3-contributorglm-5.3-flashbeam-1.0-501b-a23bmimo-v2.6-flashdeepseek-v4.1-flash-1017-opnemotron-3.5-super-vlgpt-6-lunadeepseek-v4-proOtheri alt
SEP 103.0T5.9T603B0B0B0B0B0B126B6.7T16T
SEP 115.0T5.2T468B0B0B0B0B0B95B5.3T16T
SEP 125.4T5.5T400B0B0B0B0B0B78B5.0T16T
SEP 135.6T4.4T403B0B0B0B0B0B83B4.9T15T
SEP 146.5T5.0T624B0B0B0B0B0B119B5.7T18T
SEP 157.5T5.1T635B0B0B0B0B0B112B5.8T19T
SEP 168.2T5.3T596B0B0B0B0B0B109B5.9T20T
SEP 178.8T5.9T566B0B0B0B0B0B108B5.4T21T
SEP 188.2T5.9T487B0B0B0B0B0B104B5.2T20T
SEP 196.5T4.7T380B0B0B0B0B0B91B4.5T16T
SEP 206.9T4.8T426B0B0B0B0B0B94B4.6T17T
SEP 218.9T5.4T566B0B32B0B0B0B120B5.3T20T
SEP 228.0T5.7T506B0B941B0B0B0B114B5.2T20T
SEP 237.0T5.8T446B0B1.2T0B0B8B95B6.0T21T
SEP 246.2T5.4T402B0B1.2T0B0B81B86B11T25T
SEP 254.6T5.1T370B0B1.3T0B0B97B76B12T24T
SEP 264.3T5.1T309B0B1.2T0B0B86B62B10T21T
SEP 274.4T5.1T299B0B1.2T0B0B85B63B11T22T
SEP 286.3T5.5T413B0B1.5T0B0B131B86B12T26T
SEP 296.5T5.3T408B0B1.5T0B0B142B86B12T26T
SEP 305.8T4.8T389B0B1.5T0B0B120B86B13T25T
OCT 15.0T4.6T300B0B1.4T0B0B82B83B12T23T
OCT 24.9T4.4T277B0B1.4T0B0B53B80B11T22T
OCT 34.5T5.0T245B0B1.3T0B0B47B63B11T22T
OCT 44.6T5.2T253B0B1.3T0B0B72B70B11T23T
OCT 55.6T5.8T327B0B1.5T0B0B109B94B12T26T
OCT 66.0T6.1T335B0B2.2T0B0B151B86B8.6T24T
OCT 75.9T5.8T361B0B2.4T0B0B151B82B6.8T22T
OCT 86.6T5.9T381B0B2.4T0B0B137B85B6.9T22T
OCT 97.4T5.6T391B0B1.8T0B0B127B75B7.2T23T
OCT 107.3T5.8T352B0B1.5T0B0B111B72B7.2T22T
OCT 116.7T5.8T317B0B1.3T0B0B102B72B6.3T21T
OCT 129.4T5.9T485B0B1.6T0B0B143B100B6.3T24T
OCT 1311T6.1T462B135B1.6T0B0B139B97B6.2T26T
OCT 1411T6.1T474B340B1.6T0B0B137B99B5.8T26T
OCT 1513T5.7T489B330B1.8T0B87B131B99B5.4T27T
OCT 1615T5.3T758B427B1.6T0B293B127B95B3.9T27T
OCT 1714T1.2T1.4T836B1.3T0B374B108B78B3.6T23T
OCT 1813T1.1T1.2T761B1.4T0B334B98B72B3.6T22T
OCT 1918T1.3T1.5T822B1.7T0B335B147B105B6.4T30T
OCT 2019T1.2T1.5T679B1.6T0B331B145B104B12T37T
OCT 2119T1.1T1.4T626B1.2T0B307B138B102B16T40T
OCT 2218T1.1T1.5T817B933B0B291B141B109B9.2T32T
OCT 2318T1.1T1.4T1.0T815B0B279B135B101B2.0T24T
OCT 2415T1.0T833B722B517B0B140B116B96B1.4T19T
OCT 2516T975B910B762B571B0B148B120B104B1.6T21T
OCT 2620T1.2T1.1T849B715B0B137B168B146B1.9T26T
OCT 2721T1.2T1.2T870B678B21B223B162B151B1.5T27T
OCT 2822T1.2T1.1T859B648B80B221B155B136B1.4T27T
OCT 2920T1.1T1.0T893B604B98B169B153B129B1.1T26T
OCT 3019T1.1T932B926B575B85B130B142B115B1.2T24T
OCT 3118T970B837B883B472B91B139B125B111B1.1T23T
NOV 119T925B834B884B416B290B137B120B111B893B23T
NOV 224T1.1T1.0T914B507B359B159B185B154B1.1T29T
NOV 327T1.1T1.0T859B520B132B142B187B158B1.4T32T
NOV 420T716B746B555B382B71B235B110B84B999B24T
01
deepseek-v4.1-flash146T tokens
DeepSeek+14% vs forrige uge
02
muse-spark-1.3-contributor7.0T tokens
Meta-11% vs forrige uge
03
glm-5.3-flash6.5T tokens
Zhipu-19% vs forrige uge
04
beam-1.0-501b-a23b5.9T tokens
Reflection0% vs forrige uge
05
mimo-v2.6-flash3.5T tokens
Xiaomi-29% vs forrige uge
06
deepseek-v4.1-flash-1017-op1.1T tokens
DeepSeekNy
07
nemotron-3.5-super-vl1.1T tokens
NVIDIA-23% vs forrige uge
08
gpt-6-luna1.0T tokens
OpenAI+2% vs forrige uge
09
deepseek-v4-pro861B tokens
DeepSeek+2% vs forrige uge
10
deepseek-v4.1-flash-1017766B tokens
DeepSeek-67% vs forrige uge
11
iceman-contributor665B tokens
+762% vs forrige uge
12
pulse-alpha646B tokens
Ny
13
flint-40b646B tokens
Recursive+162% vs forrige uge
14
minimax-m3.1-flash594B tokens
MiniMax-93% vs forrige uge
15
nemotron-3.5-lightning593B tokens
NVIDIA+16% vs forrige uge
16
deepseek-v4p1-flash565B tokens
DeepSeekNy
17
iceman561B tokens
-73% vs forrige uge
18
mimo-v2.6-pro456B tokens
Xiaomi-23% vs forrige uge
LÆR MERETOPMODELLER▸

Unikke brugere. Daglige unikke OpenCode-brugere efter model.

Stablet diagram over unikke brugere efter model
Datodeepseek-v4.1-flashgpt-6-lunaglm-5.3-flashmimo-v2.6-flashbeam-1.0-501b-a23bmuse-spark-1.3-contributordeepseek-v4-proclaude-haiku-5-5glm-5.3Otheri alt
SEP 1032K021K0035K12K05.1K214K318K
SEP 1143K017K0033K8.7K04.5K186K293K
SEP 1238K013K0031K6.0K03.5K143K234K
SEP 1339K012K0031K6.0K03.7K141K233K
SEP 1454K020K0037K9.3K05.5K190K316K
SEP 1555K020K0037K8.8K05.3K189K315K
SEP 1658K019K0037K8.5K05.5K199K328K
SEP 1768K020K0033K8.6K06.0K197K332K
SEP 1863K019K0033K7.6K05.6K165K293K
SEP 1953K015K0028K6.7K04.4K126K234K
SEP 2054K016K0025K6.9K04.5K117K223K
SEP 2180K021K2.2K038K9.6K06.0K163K320K
SEP 2266K019K41K036K8.2K05.6K156K333K
SEP 2362K2.5K18K39K035K7.4K04.7K140K308K
SEP 2460K12K16K37K034K6.8K04.3K136K306K
SEP 2549K12K13K21K032K5.8K03.6K123K260K
SEP 2645K11K12K18K029K4.9K03.2K109K231K
SEP 2746K12K12K17K028K4.8K03.4K110K233K
SEP 2862K16K15K22K034K7.1K04.9K145K307K
SEP 2968K17K15K23K036K7.1K05.0K146K317K
SEP 3061K16K15K22K034K6.6K04.8K141K301K
OCT 156K15K13K22K033K5.9K04.3K128K277K
OCT 254K15K13K22K032K5.7K04.2K126K271K
OCT 346K13K11K18K029K4.5K03.6K112K236K
OCT 445K13K11K17K029K4.5K03.5K111K234K
OCT 554K17K13K21K035K6.1K04.7K134K284K
OCT 658K17K14K41K038K6.2K04.7K136K315K
OCT 765K18K14K42K039K6.2K6914.6K133K321K
OCT 874K20K15K42K037K6.7K4.9K5.0K143K347K
OCT 988K20K15K31K035K6.4K5.4K4.8K136K341K
OCT 1080K17K13K28K031K5.3K4.8K4.3K123K307K
OCT 1173K16K11K22K031K4.8K4.4K3.9K111K278K
OCT 1299K24K16K29K037K6.7K6.5K5.4K137K360K
OCT 13102K26K16K27K6.7K37K7.1K6.3K5.5K133K367K
OCT 14107K28K16K32K11K36K7.6K6.3K5.6K126K376K
OCT 15123K29K17K42K8.9K35K8.1K6.6K5.9K124K399K
OCT 16128K27K27K42K11K34K7.5K5.8K5.6K119K408K
OCT 17121K24K31K39K14K11K6.3K4.9K4.5K105K359K
OCT 1898K21K23K28K12K7.9K5.4K4.2K3.8K79K282K
OCT 19137K32K30K36K13K9.8K7.8K6.2K5.5K111K388K
OCT 20142K33K30K35K12K9.3K7.5K6.1K5.5K113K393K
OCT 21144K34K32K27K12K9.4K7.7K6.2K5.9K134K412K
OCT 22149K34K32K24K14K9.4K7.7K6.3K5.4K130K411K
OCT 23152K34K32K22K16K9.7K7.2K6.0K5.1K96K379K
OCT 24122K28K25K14K13K8.2K5.8K5.0K4.3K77K303K
OCT 25116K29K24K14K13K7.9K5.8K5.1K4.1K76K296K
OCT 26147K40K30K18K15K9.8K8.4K6.9K5.7K93K374K
OCT 27154K42K31K18K16K9.8K8.9K7.1K5.7K85K378K
OCT 28158K42K30K18K15K9.8K8.7K7.3K5.3K79K374K
OCT 29161K42K31K18K16K9.7K8.6K7.3K5.3K74K372K
OCT 30153K40K29K17K16K9.2K7.8K6.9K5.0K73K357K
OCT 31130K33K24K14K15K7.9K6.5K5.9K4.3K64K305K
NOV 1129K33K24K14K14K7.4K6.6K5.8K4.2K62K300K
NOV 2173K46K31K17K16K9.1K9.2K8.3K5.7K85K400K
NOV 3180K48K32K17K17K9.3K9.4K8.7K5.8K75K401K
NOV 4165K38K27K14K13K8.0K7.2K6.8K4.5K61K344K

Weekly Retention. Weekly users returning the next week.

RankModelRetentionRateEligible
01gemini-4-argon83.1%178
02mimo-v2.6-flash78.9%7.5K
03deepseek-v4.1-flash72.8%522K
04minimax-m3.1-flash72.3%14K
05beam-1.0-501b-a23b72.0%3.2K
06muse-spark-1.3-contributor69.3%58K
07mimo-v2.6-pro66.8%6.8K
08gpt-6-luna65.1%13K
09minimax-m2.564.9%134
10claude-haiku-5-564.2%5.1K
11mimo-v2.563.8%14K
12hy363.8%1.3K
13muse-spark-1.2-contributor63.2%1.7K
14glm-5.3-flash62.1%73K
15qwen3.7-plus61.7%6.1K
LÆR MERETOPMODELLER▸

Sessionsomkostning. Gennemsnitlig omkostning pr. session.

OMKOSTNING / SESSION

TOKENS / SESSION

Omkostning/session$0.0186

Tokens/session3.3M

LÆR MERESESSIONSOMKOSTNING▸

Tokenomkostning. Pris pr. 1 mio. tokens.

Input$0.12

Output$0.42

Cachelagret$0.03

LÆR MERETOKENOMKOSTNING▸

Cacheandel. Andel af inputtokens leveret fra cache.

Cacheandel97%

Cachelagret141T

Ikke cachelagret4.1T

LÆR MERECACHEANDEL▸

Markedsandel. Sammenlign tokenandel efter modelforfatter.

Markedsandel efter modelforfatter
DatoDeepSeekMetaMiniMaxXiaomiZhipuOtherNVIDIAReflectionMeituan
SEP 1040.1%39.7%0.3%10.3%3.9%3.0%2.5%0.0%0.1%
SEP 1148.9%35.7%0.3%8.1%3.1%1.9%2.0%0.0%0.1%
SEP 1250.3%36.4%0.2%5.9%2.6%1.6%3.0%0.0%0.0%
SEP 1354.6%31.9%0.2%6.5%2.8%1.6%2.3%0.0%0.0%
SEP 1453.7%30.7%0.3%7.6%3.7%2.0%1.9%0.0%0.0%
SEP 1555.7%29.3%0.3%7.1%3.5%2.0%2.1%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%3.5%2.5%0.0%0.0%
SEP 1855.8%31.7%0.2%4.7%2.6%1.8%3.1%0.0%0.0%
SEP 1955.4%31.7%0.2%4.9%2.5%1.9%3.4%0.0%0.0%
SEP 2056.3%30.8%0.2%4.9%2.7%1.8%3.2%0.0%0.0%
SEP 2158.3%29.1%0.2%4.9%3.0%1.9%2.6%0.0%0.0%
SEP 2254.3%29.9%0.2%8.5%2.7%1.7%2.7%0.0%0.0%
SEP 2348.4%30.7%7.4%7.8%2.3%1.6%1.7%0.0%0.0%
SEP 2437.1%23.9%28.0%6.0%1.8%1.4%1.8%0.0%0.0%
SEP 2527.0%22.6%37.9%6.6%1.7%1.4%2.8%0.0%0.0%
SEP 2624.7%24.5%37.1%6.6%1.5%1.4%3.6%0.0%0.7%
SEP 2723.9%23.8%38.1%6.5%1.5%1.3%3.2%0.0%1.7%
SEP 2830.0%21.6%33.8%6.7%1.7%1.4%2.7%0.0%2.1%
SEP 2929.8%20.4%36.5%6.6%1.7%1.1%1.9%0.0%2.1%
SEP 3027.5%19.2%39.8%6.7%1.7%1.0%1.9%0.0%2.2%
OCT 125.0%19.9%41.7%6.8%1.4%1.0%2.4%0.0%1.8%
OCT 225.4%20.1%40.1%7.2%1.4%1.8%2.6%0.0%1.4%
OCT 323.8%23.2%38.5%6.9%1.2%2.2%2.9%0.0%1.4%
OCT 422.9%23.2%39.3%6.6%1.2%2.2%3.2%0.0%1.2%
OCT 524.5%22.8%38.7%6.6%1.4%2.4%2.5%0.0%1.1%
OCT 630.0%26.1%24.7%10.3%1.6%3.2%2.5%0.0%1.6%
OCT 732.8%27.2%18.2%11.8%1.8%3.3%3.1%0.0%1.7%
OCT 834.5%26.6%16.7%11.6%1.9%4.2%3.0%0.0%1.6%
OCT 937.5%25.0%15.8%8.4%1.9%6.6%3.3%0.0%1.6%
OCT 1036.9%26.1%15.1%7.4%1.7%7.8%3.5%0.0%1.4%
OCT 1136.1%28.4%14.6%6.9%1.7%7.0%4.1%0.0%1.3%
OCT 1243.2%25.0%13.2%7.5%2.2%4.1%3.6%0.0%1.2%
OCT 1345.7%24.1%12.4%7.0%2.0%4.1%3.2%0.5%1.0%
OCT 1445.4%23.8%11.8%6.9%2.0%4.3%3.2%1.3%1.3%
OCT 1548.8%21.5%11.0%7.3%2.0%4.1%2.7%1.2%1.4%
OCT 1655.3%19.5%9.2%6.6%2.9%2.2%1.4%1.6%1.4%
OCT 1762.3%5.4%11.4%6.0%6.3%1.3%2.0%3.7%1.7%
OCT 1861.6%5.1%10.4%7.1%5.5%1.2%4.0%3.5%1.5%
OCT 1960.8%4.3%15.6%6.1%5.1%1.3%3.1%2.7%1.1%
OCT 2053.2%3.3%28.1%4.6%4.2%1.0%2.9%1.8%0.9%
OCT 2148.2%2.7%36.3%3.4%3.7%0.9%2.8%1.6%0.4%
OCT 2258.3%3.5%23.3%3.3%4.8%1.1%3.2%2.5%0.0%
OCT 2375.4%4.7%0.8%3.9%5.7%1.5%3.7%4.2%0.1%
OCT 2476.0%5.3%0.9%3.3%4.5%3.9%2.3%3.7%0.2%
OCT 2577.8%4.7%0.7%3.4%4.5%2.9%2.2%3.7%0.1%
OCT 2679.9%4.7%0.8%3.4%4.6%2.5%0.8%3.3%0.1%
OCT 2779.3%4.5%0.7%3.1%4.4%3.8%1.1%3.2%0.0%
OCT 2879.8%4.3%0.6%2.9%4.1%4.1%1.0%3.1%0.0%
OCT 2980.7%4.4%0.6%2.7%4.2%2.9%1.0%3.5%0.0%
OCT 3080.7%4.6%0.6%2.7%4.0%2.7%0.9%3.8%0.0%
OCT 3181.8%4.3%0.5%2.3%3.8%2.5%1.0%3.8%0.0%
NOV 182.5%4.0%0.4%2.0%3.7%2.5%0.9%3.8%0.0%
NOV 283.4%3.7%0.5%2.0%3.7%2.7%0.9%3.1%0.0%
NOV 384.1%3.5%0.5%1.8%3.4%3.4%0.7%2.7%0.0%
NOV 484.6%3.1%0.4%1.8%3.3%3.2%1.3%2.3%0.0%
  1. 01DeepSeek20T tokens84.6%
  2. 02Zhipu777B tokens3.3%
  4. 04Meta723B tokens3.1%
  5. 05Reflection555B tokens2.3%
  6. 06Xiaomi424B tokens1.8%
  7. 07NVIDIA310B tokens1.3%
  8. 08MiniMax88B tokens0.4%
  9. 09Meituan5.6B tokens0.0%

[*]NOV 4 2026

LÆR MEREMARKEDSANDEL▸

Geografisk opdeling

LÆR MEREGEOGRAFISK OPDELING▸

Metode. Sådan indsamles disse data.

Opdateringer
Aggregeres hver time. Dage og uger følger UTC.
Tokens
Input-, output-, ræsonnerings- og cachelagrede tokens for hver forespørgsel.
Brugere og sessioner
Omtrentligt antal unikke brugere og OpenCode-sessioner.
Omkostning
Sessionsomkostning er den gennemsnitlige omkostning pr. OpenCode-session. Tokenpriser er listepriser fra OpenCode-modelkataloget.
Fastholdelse
Andelen af en models brugere i én uge, der bruger den igen ugen efter.
Kildehenvisning
Angiv OpenCode Data (opencode.ai/data) som kilde sammen med opdateringstidspunktet, der vises øverst på siden.

Model Comparisons. Popular model pairs from the leaderboard.