GitHub[220K]Prøv OpenCode

Modeldata

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

Pr. 6. november 2026 lå Muse Spark 1.3 Contributor øverst i OpenCode-brugen de sidste 7 dage med 1B tokens, efterfulgt af DeepSeek V4 Flash (0) og jev-1.13 (0).

Topmodeller. Brug af modeller på tværs af OpenCode.

Stablet brugsdiagram for topmodeller
Datomuse-spark-1.3-contributordeepseek-v4-flashjev-1.13Otheri alt
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
LÆR MERETOPMODELLER▸

Unikke brugere. Daglige unikke OpenCode-brugere efter model.

Stablet diagram over unikke brugere efter model
Datodeepseek-v4-flashmuse-spark-1.3-contributorjev-1.13Otheri alt
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.

LÆR MERETOPMODELLER▸

Sessionsomkostning. Gennemsnitlig omkostning pr. session.

Ingen sessionsomkostningsdata

Ingen modelrækker med sessioner matchede dette produkt.

LÆR MERESESSIONSOMKOSTNING▸

Tokenomkostning. Pris pr. 1 mio. tokens.

Input$0.10

Output$0.20

Cachelagret$0.0020

LÆR MERETOKENOMKOSTNING▸

Cacheandel. Andel af inputtokens leveret fra cache.

Cacheandel0%

Cachelagret0B

Ikke cachelagret0B

LÆR MERECACHEANDEL▸

Markedsandel. Sammenlign tokenandel efter modelforfatter.

Markedsandel efter modelforfatter
DatoDeepSeekMetaOtherOpenAI
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 tokens99.0%
  2. 02DeepSeek2M tokens1.0%

[*]NOV 6 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.