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Modelldata

Se hvilke modeller som vinner reell bruk, hvordan miksen endrer seg, og hva det betyr for kostnadene.

Per 9. november 2026 lå DeepSeek V4.1 Flash øverst i OpenCode-bruken de siste 7 dagene med 144T tokens, fulgt av GLM-5.3-Flash (6.5T) og Muse Spark 1.3 Contributor (6T).

Toppmodeller. Bruk av modeller på tvers av OpenCode.

Stablet bruksdiagram for toppmodeller
Datodeepseek-v4.1-flashglm-5.3-flashmuse-spark-1.3-contributorbeam-1.0-501b-a23bmimo-v2.6-flashnemotron-3.5-super-vlcrouton-alphapulse-alphagpt-6-lunaOthertotalt
SEP 157.5T635B5.1T0B0B0B0B0B0B5.9T19T
SEP 168.2T596B5.3T0B0B0B0B0B0B6.0T20T
SEP 178.8T566B5.9T0B0B0B0B0B0B5.6T21T
SEP 188.2T487B5.9T0B0B0B0B0B0B5.3T20T
SEP 196.5T380B4.7T0B0B0B0B0B0B4.6T16T
SEP 206.9T426B4.8T0B0B0B0B0B0B4.7T17T
SEP 218.9T566B5.4T0B32B0B0B0B0B5.4T20T
SEP 228.0T506B5.7T0B941B0B0B0B0B5.3T20T
SEP 237.0T446B5.8T0B1.2T0B0B0B8B6.1T21T
SEP 246.2T402B5.4T0B1.2T0B0B0B81B11T25T
SEP 254.6T370B5.1T0B1.3T0B0B0B97B12T24T
SEP 264.3T309B5.1T0B1.2T0B0B0B86B10T21T
SEP 274.4T299B5.1T0B1.2T0B0B0B85B11T22T
SEP 286.3T413B5.5T0B1.5T0B0B0B131B12T26T
SEP 296.5T408B5.3T0B1.5T0B0B0B142B13T26T
SEP 305.8T389B4.8T0B1.5T0B0B0B120B13T25T
OCT 15.0T300B4.6T0B1.4T0B0B0B82B12T23T
OCT 24.9T277B4.4T0B1.4T0B0B0B53B11T22T
OCT 34.5T245B5.0T0B1.3T0B0B0B47B11T22T
OCT 44.6T253B5.2T0B1.3T0B0B0B72B11T23T
OCT 55.6T327B5.8T0B1.5T0B0B0B109B12T26T
OCT 66.0T335B6.1T0B2.2T0B0B0B151B8.7T24T
OCT 75.9T361B5.8T0B2.4T0B0B0B151B6.9T22T
OCT 86.6T381B5.9T0B2.4T0B0B0B137B7.0T22T
OCT 97.4T391B5.6T0B1.8T0B0B0B127B7.3T23T
OCT 107.3T352B5.8T0B1.5T0B0B0B111B7.2T22T
OCT 116.7T317B5.8T0B1.3T0B0B0B102B6.4T21T
OCT 129.4T485B5.9T0B1.6T0B0B0B143B6.4T24T
OCT 1311T462B6.1T135B1.6T0B0B0B139B6.3T26T
OCT 1411T474B6.1T340B1.6T0B0B0B137B5.9T26T
OCT 1513T489B5.7T330B1.8T87B0B0B131B5.5T27T
OCT 1615T758B5.3T427B1.6T293B0B0B127B4.0T27T
OCT 1714T1.4T1.2T836B1.3T374B0B0B108B3.7T23T
OCT 1813T1.2T1.1T761B1.4T334B0B0B98B3.7T22T
OCT 1918T1.5T1.3T822B1.7T335B0B0B147B6.5T30T
OCT 2019T1.5T1.2T679B1.6T331B0B0B145B12T37T
OCT 2119T1.4T1.1T626B1.2T307B0B0B138B16T40T
OCT 2218T1.5T1.1T817B933B291B0B0B141B9.3T32T
OCT 2318T1.4T1.1T1.0T815B279B0B0B135B2.1T24T
OCT 2415T833B1.0T722B517B140B0B0B116B1.5T19T
OCT 2516T910B975B762B571B148B0B0B120B1.7T21T
OCT 2620T1.1T1.2T849B715B137B0B0B168B2.1T26T
OCT 2721T1.2T1.2T870B678B223B0B0B162B1.7T27T
OCT 2822T1.1T1.2T859B648B221B0B0B155B1.6T27T
OCT 2920T1.0T1.1T893B604B169B0B0B153B1.4T26T
OCT 3019T933B1.1T926B576B130B0B0B142B1.4T24T
OCT 3118T838B972B883B473B139B0B0B125B1.4T23T
NOV 119T836B928B884B416B137B0B0B120B1.3T23T
NOV 224T1.0T1.1T914B508B159B0B6B186B1.6T29T
NOV 327T1.0T1.1T859B520B142B2B337B188B1.3T32T
NOV 426T1.1T1.0T812B552B387B36B415B170B1.2T32T
NOV 525T1.1T1.0T834B543B535B129B449B168B1.2T31T
NOV 623T1.1T1.0T846B574B505B674B370B158B1.1T29T
NOV 718T1.0T881B754B471B484B451B0B131B1.3T23T
NOV 821T972B802B729B440B514B433B0B126B1.8T27T
NOV 92.8T124B112B77B53B48B57B0B18B226B3.5T
01
deepseek-v4.1-flash144T tokens
DeepSeek0% mot forrige uke
02
glm-5.3-flash6.5T tokens
Zhipu-7% mot forrige uke
03
muse-spark-1.3-contributor6.0T tokens
Meta-22% mot forrige uke
04
beam-1.0-501b-a23b4.9T tokens
Reflection-21% mot forrige uke
05
mimo-v2.6-flash3.2T tokens
Xiaomi-19% mot forrige uke
06
nemotron-3.5-super-vl2.6T tokens
NVIDIA+122% mot forrige uke
07
crouton-alpha1.8T tokens
Ny
08
pulse-alpha1.6T tokens
Ny
09
gpt-6-luna959B tokens
OpenAI-8% mot forrige uke
10
inkling-2-small931B tokens
Thinking MachinesNy
11
deepseek-v4-pro835B tokens
DeepSeek-8% mot forrige uke
12
deepseek-v4.1-flash-1017724B tokens
DeepSeek-1% mot forrige uke
13
nemotron-3.5-lightning612B tokens
NVIDIA+9% mot forrige uke
14
minimax-m3.1-flash537B tokens
MiniMax-19% mot forrige uke
15
deepseek-v4.1-flash-1017-op508B tokens
DeepSeek-50% mot forrige uke
16
flint-40b476B tokens
Recursive-24% mot forrige uke
17
claude-haiku-5-5391B tokens
Anthropic-7% mot forrige uke
18
mimo-v2.6-pro391B tokens
Xiaomi-26% mot forrige uke
LES MERTOPPMODELLER▸

Unike brukere. Daglige unike OpenCode-brukere etter modell.

Stablet diagram over unike brukere etter modell
Datodeepseek-v4.1-flashgpt-6-lunaglm-5.3-flashmimo-v2.6-flashbeam-1.0-501b-a23bmuse-spark-1.3-contributordeepseek-v4-proclaude-haiku-5-5crouton-alphaOthertotalt
SEP 1555K020K0037K8.8K00194K315K
SEP 1658K019K0037K8.5K00205K328K
SEP 1768K020K0033K8.6K00203K332K
SEP 1863K019K0033K7.6K00171K293K
SEP 1953K015K0028K6.7K00131K234K
SEP 2054K016K0025K6.9K00122K223K
SEP 2180K021K2.2K038K9.6K00169K320K
SEP 2266K019K41K036K8.2K00162K333K
SEP 2362K2.5K18K39K035K7.4K00145K308K
SEP 2460K12K16K37K034K6.8K00140K306K
SEP 2549K12K13K21K032K5.8K00127K260K
SEP 2645K11K12K18K029K4.9K00112K231K
SEP 2746K12K12K17K028K4.8K00113K233K
SEP 2862K16K15K22K034K7.1K00150K307K
SEP 2968K17K15K23K036K7.1K00151K317K
SEP 3061K16K15K22K034K6.6K00145K301K
OCT 156K15K13K22K033K5.9K00132K277K
OCT 254K15K13K22K032K5.7K00130K271K
OCT 346K13K11K18K029K4.5K00116K236K
OCT 445K13K11K17K029K4.5K00114K234K
OCT 554K17K13K21K035K6.1K00138K284K
OCT 658K17K14K41K038K6.2K00141K315K
OCT 765K18K14K42K039K6.2K6910138K321K
OCT 874K20K15K42K037K6.7K4.9K0148K347K
OCT 988K20K15K31K035K6.4K5.4K0141K341K
OCT 1080K17K13K28K031K5.3K4.8K0128K307K
OCT 1173K16K11K22K031K4.8K4.4K0115K278K
OCT 1299K24K16K29K037K6.7K6.5K0142K360K
OCT 13102K26K16K27K6.7K37K7.1K6.3K0138K367K
OCT 14107K28K16K32K11K36K7.6K6.3K0132K376K
OCT 15123K29K17K42K8.9K35K8.1K6.6K0130K399K
OCT 16128K27K27K42K11K34K7.5K5.8K0125K408K
OCT 17121K24K31K39K14K11K6.3K4.9K0109K359K
OCT 1898K21K23K28K12K7.9K5.4K4.2K083K282K
OCT 19137K32K30K36K13K9.8K7.8K6.2K0117K388K
OCT 20142K33K30K35K12K9.3K7.5K6.1K0118K393K
OCT 21144K34K32K27K12K9.4K7.7K6.2K0140K412K
OCT 22149K34K32K24K14K9.4K7.7K6.3K0136K411K
OCT 23152K34K32K22K16K9.7K7.2K6.0K0101K379K
OCT 24122K28K25K14K13K8.2K5.8K5.0K082K303K
OCT 25116K29K24K14K13K7.9K5.8K5.1K080K296K
OCT 26147K40K30K18K15K9.8K8.4K6.9K099K374K
OCT 27154K42K31K18K16K9.8K8.9K7.1K091K378K
OCT 28158K42K30K18K15K9.8K8.7K7.3K085K374K
OCT 29161K42K31K18K16K9.7K8.7K7.3K079K373K
OCT 30153K40K29K17K16K9.3K7.8K6.9K078K357K
OCT 31130K33K24K14K15K7.9K6.5K5.9K069K305K
NOV 1129K33K24K14K14K7.4K6.6K5.8K066K301K
NOV 2173K46K31K17K16K9.1K9.2K8.4K091K401K
NOV 3180K48K32K17K17K9.4K9.5K8.7K1.1K80K402K
NOV 4185K47K32K17K16K9.2K9.0K8.5K6.0K79K409K
NOV 5190K48K34K17K17K9.4K9.4K8.8K5.4K81K420K
NOV 6187K46K36K17K16K9.3K9.6K8.4K7.5K77K414K
NOV 7159K37K32K15K14K8.4K7.7K7.1K6.9K69K357K
NOV 8151K35K28K13K14K7.5K6.8K6.3K6.6K71K339K
NOV 974K9.8K8.5K4.5K3.6K3.4K2.1K1.8K1.8K17K126K

Weekly Retention. Weekly users returning the next week.

RankModelRetentionRateEligible
01mimo-v2.6-flash80.2%9.6K
02deepseek-v4.1-flash75.6%637K
03beam-1.0-501b-a23b74.5%7.9K
04minimax-m3.1-flash72.2%15K
05muse-spark-1.3-contributor69.2%55K
06mimo-v2.6-pro68.2%8.1K
07iceman-contributor67.8%423
08gpt-6-luna66.7%17K
09claude-haiku-5-566.1%7.7K
10gemini-4-argon64.9%1.9K
11hy364.1%1.1K
12minimax-m2.563.3%109
13glm-5.3-flash62.7%68K
14qwen3.8-flash61.6%9.2K
15qwen3.7-plus61.3%5.6K
LES MERTOPPMODELLER▸

Øktkostnad. Gjennomsnittlig kostnad per økt.

KOSTNAD / ØKT

TOKENS / ØKT

Kostnad/økt$0.0188

Tokens/økt3.3M

LES MERØKTKOSTNAD▸

Tokenkostnad. Pris per 1 mill. tokens.

Inndata$0.12

Utdata$0.42

Bufret$0.03

LES MERTOKENKOSTNAD▸

Cacheandel. Andel inndata-tokens levert fra cache.

Cacheandel97%

Bufret5.8T

Ikke bufret167.5B

LES MERCACHEANDEL▸

Markedsandel. Sammenlign tokenandel etter modellforfatter.

Markedsandel etter modellforfatter
DatoDeepSeekMetaMiniMaxXiaomiZhipuOtherNVIDIAReflectionMeituan
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 483.5%3.3%0.4%1.9%3.4%3.4%1.6%2.5%0.0%
NOV 582.0%3.3%0.5%1.9%3.6%3.9%2.1%2.7%0.0%
NOV 679.4%3.4%0.4%2.2%4.0%5.7%2.1%2.9%0.0%
NOV 777.3%3.8%0.5%2.2%4.6%5.8%2.5%3.2%0.0%
NOV 880.5%3.0%0.4%1.8%3.7%5.7%2.2%2.7%0.0%
NOV 981.8%3.2%0.4%1.7%3.7%5.4%1.6%2.2%0.0%
  1. 01DeepSeek2.9T tokens81.8%
  3. 03Zhipu130B tokens3.7%
  4. 04Meta113B tokens3.2%
  5. 05Reflection77B tokens2.2%
  6. 06Xiaomi61B tokens1.7%
  7. 07NVIDIA57B tokens1.6%
  8. 08MiniMax15B tokens0.4%
  9. 09Meituan1.2B tokens0.0%

[*]NOV 9 2026

LES MERMARKEDSANDEL▸

Geografisk fordeling

LES MERGEOGRAFISK FORDELING▸

Metode. Slik samles disse dataene inn.

Oppdateringer
Aggregeres hver time. Dager og uker følger UTC.
Tokens
Inndata-, utdata-, resonnerings- og bufrede tokens for hver forespørsel.
Brukere og økter
Omtrentlig antall unike brukere og OpenCode-økter.
Kostnad
Øktkostnad er gjennomsnittlig kostnad per OpenCode-økt. Tokenpriser er listepriser fra OpenCode-modellkatalogen.
Retensjon
Andelen av en modells brukere i én uke som bruker den igjen uken etter.
Kildehenvisning
Oppgi OpenCode Data (opencode.ai/data) som kilde sammen med oppdateringstidspunktet som vises øverst på siden.

Model Comparisons. Popular model pairs from the leaderboard.