GitHub[150K]Try OpenCode

Model Data

See which models are winning real usage, how the mix
shifts over time, and where momentum is moving each week.

Top models. Usage of models across OpenCode Go.

598BAPR 27APR 27

643BAPR 28APR 28

666BAPR 29APR 29

649BAPR 30APR 30

624BMAY 1MAY 1

682BMAY 2MAY 2

752BMAY 3MAY 3

991BMAY 4MAY 4

1.0TMAY 5MAY 5

1.0TMAY 6MAY 6

962BMAY 7MAY 7

981BMAY 8MAY 8

916BMAY 9MAY 9

877BMAY 10MAY 10

1.2TMAY 11MAY 11

1.3TMAY 12MAY 12

1.2TMAY 13MAY 13

1.1TMAY 14MAY 14

1.2TMAY 15MAY 15

952BMAY 16MAY 16

1.0TMAY 17MAY 17

1.3TMAY 18MAY 18

1.4TMAY 19MAY 19

1.2TMAY 20MAY 20

1.4TMAY 21MAY 21

1.5TMAY 22MAY 22

1.4TMAY 23MAY 23

1.4TMAY 24MAY 24

1.8TMAY 25MAY 25

1.9TMAY 26MAY 26

1.8TMAY 27MAY 27

1.7TMAY 28MAY 28

1.7TMAY 29MAY 29

1.4TMAY 30MAY 30

1.5TMAY 31MAY 31

1.9TJUN 1JUN 1

2.0TJUN 2JUN 2

2.1TJUN 3JUN 3

2.0TJUN 4JUN 4

1.9TJUN 5JUN 5

1.7TJUN 6JUN 6

1.7TJUN 7JUN 7

2.4TJUN 8JUN 8

2.5TJUN 9JUN 9

2.4TJUN 10JUN 10

2.4TJUN 11JUN 11

2.3TJUN 12JUN 12

2.0TJUN 13JUN 13

2.0TJUN 14JUN 14

2.7TJUN 15JUN 15

2.8TJUN 16JUN 16

2.8TJUN 17JUN 17

2.8TJUN 18JUN 18

2.4TJUN 19JUN 19

2.2TJUN 20JUN 20

2.0TJUN 21JUN 21

deepseek-v4-flash8.4T

deepseek-v4-pro3.8T

minimax-m32.1T

glm-5.2844B

mimo-v2.5759B

kimi-k2.7-code663B

qwen3.7-plus262B

mimo-v2.5-pro262B

kimi-k2.6234B

glm-5.1214B

qwen3.7-max81B

minimax-m2.777B

qwen3.6-plus61B

kimi-k2.513B

minimax-m2.57B

qwen3.5-plus4B

mimo-v2-pro1B

deepseek-v4-flash8.4T

deepseek-v4-pro3.8T

minimax-m32.1T

glm-5.2844B

mimo-v2.5759B

kimi-k2.7-code663B

qwen3.7-plus262B

mimo-v2.5-pro262B

kimi-k2.6234B

glm-5.1214B

qwen3.7-max81B

minimax-m2.777B

qwen3.6-plus61B

kimi-k2.513B

minimax-m2.57B

qwen3.5-plus4B

mimo-v2-pro1B

LEAN MORETOP MODELS▸

Unique Users. Daily unique OpenCode Go users by model.

0APR 27APR 27

0APR 28APR 28

0APR 29APR 29

0APR 30APR 30

0MAY 1MAY 1

0MAY 2MAY 2

0MAY 3MAY 3

0MAY 4MAY 4

0MAY 5MAY 5

0MAY 6MAY 6

0MAY 7MAY 7

0MAY 8MAY 8

0MAY 9MAY 9

0MAY 10MAY 10

0MAY 11MAY 11

0MAY 12MAY 12

0MAY 13MAY 13

0MAY 14MAY 14

0MAY 15MAY 15

0MAY 16MAY 16

0MAY 17MAY 17

0MAY 18MAY 18

0MAY 19MAY 19

0MAY 20MAY 20

0MAY 21MAY 21

0MAY 22MAY 22

0MAY 23MAY 23

0MAY 24MAY 24

0MAY 25MAY 25

0MAY 26MAY 26

0MAY 27MAY 27

88KMAY 28MAY 28

83KMAY 29MAY 29

64KMAY 30MAY 30

63KMAY 31MAY 31

91KJUN 1JUN 1

95KJUN 2JUN 2

96KJUN 3JUN 3

94KJUN 4JUN 4

91KJUN 5JUN 5

73KJUN 6JUN 6

72KJUN 7JUN 7

104KJUN 8JUN 8

108KJUN 9JUN 9

109KJUN 10JUN 10

107KJUN 11JUN 11

100KJUN 12JUN 12

85KJUN 13JUN 13

84KJUN 14JUN 14

116KJUN 15JUN 15

119KJUN 16JUN 16

125KJUN 17JUN 17

125KJUN 18JUN 18

110KJUN 19JUN 19

93KJUN 20JUN 20

91KJUN 21JUN 21

LEAN MORETOP MODELS▸

Session Cost. Average cost per session.

COST / SESSION

TOKENS / SESSION

Cost/Session$0.2137

Tokens/Session8.3M

LEAN MORESESSION COST▸

Token Cost. Price per 1M tokens.

Input$0.43

Output$0.87

Cached$0.0036

LEAN MORETOKEN COST▸

Cache Ratio. Share of input tokens served from cache.

Cache Ratio96%

Cached8.0T

Uncached323.5B

LEAN MOREMARKET SHARE▸

Geo Breakdown. Tokens used by country.

#01China

13T15%