GitHub[195K]Try OpenCode

Updated Aug 28, 01:07 AM UTC

Model Data

See which models are winning real usage, how the mix is shifting, and what that means for cost.

Top Models. Usage of models across OpenCode.

2.3TJUL 4JUL 4

2.2TJUL 5JUL 5

3.2TJUL 6JUL 6

3.4TJUL 7JUL 7

3.2TJUL 8JUL 8

3.1TJUL 9JUL 9

2.7TJUL 10JUL 10

2.4TJUL 11JUL 11

2.3TJUL 12JUL 12

3.3TJUL 13JUL 13

3.2TJUL 14JUL 14

3.2TJUL 15JUL 15

3.0TJUL 16JUL 16

2.9TJUL 17JUL 17

2.4TJUL 18JUL 18

2.1TJUL 19JUL 19

3.1TJUL 20JUL 20

3.4TJUL 21JUL 21

3.0TJUL 22JUL 22

3.0TJUL 23JUL 23

2.6TJUL 24JUL 24

2.3TJUL 25JUL 25

2.2TJUL 26JUL 26

3.1TJUL 27JUL 27

3.2TJUL 28JUL 28

3.1TJUL 29JUL 29

2.8TJUL 30JUL 30

3.3TJUL 31JUL 31

3.8TAUG 1AUG 1

4.6TAUG 2AUG 2

6.1TAUG 3AUG 3

5.8TAUG 4AUG 4

7.5TAUG 5AUG 5

8.9TAUG 6AUG 6

9.1TAUG 7AUG 7

9.1TAUG 8AUG 8

9.2TAUG 9AUG 9

10TAUG 10AUG 10

16TAUG 11AUG 11

19TAUG 12AUG 12

21TAUG 13AUG 13

22TAUG 14AUG 14

20TAUG 15AUG 15

18TAUG 16AUG 16

14TAUG 17AUG 17

13TAUG 18AUG 18

12TAUG 19AUG 19

13TAUG 20AUG 20

12TAUG 21AUG 21

13TAUG 22AUG 22

15TAUG 23AUG 23

19TAUG 24AUG 24

18TAUG 25AUG 25

16TAUG 26AUG 26

12TAUG 27AUG 27

305BAUG 28AUG 28

glm-5.3-flash41T

Zhipu+878%

deepseek-v4-flash16T

DeepSeek-76%

mimo-v2.511T

Xiaomi-5%

muse-spark-1.2-contributor9.2T

Meta+171%

nemotron-3-ultra3.7T

NVIDIA+38%

hy33.1T

Tencent+104%

deepseek-v4-flash-vision-exp2.4T

DeepSeekNew

deepseek-v4-pro1.7T

DeepSeek-68%

deepseek-v4-flash-0731767B

DeepSeekNew

nemotron-3.5-lightning724B

NVIDIA-2%

gpt-5.6-luna696B

OpenAI-61%

deepseek-v4-flash-dsv4-flash-final-rnaovd438B

minimax-m3370B

glm-5.2288B

glm-5.3284B

mimo-v2.5-pro204B

kimi-k3203B

deepseek-v4-flash16T

DeepSeek-76%

mimo-v2.511T

Xiaomi-5%

muse-spark-1.2-contributor9.2T

Meta+171%

nemotron-3-ultra3.7T

NVIDIA+38%

hy33.1T

Tencent+104%

deepseek-v4-flash-vision-exp2.4T

DeepSeekNew

deepseek-v4-pro1.7T

DeepSeek-68%

deepseek-v4-flash-0731767B

DeepSeekNew

nemotron-3.5-lightning724B

NVIDIA-2%

gpt-5.6-luna696B

OpenAI-61%

deepseek-v4-flash-dsv4-flash-final-rnaovd438B

minimax-m3370B

glm-5.2288B

glm-5.3284B

mimo-v2.5-pro204B

Xiaomi-41%

kimi-k3203B

Moonshot-5%

LEARN MORETOP MODELS▸

Unique Users. Daily unique OpenCode users by model.

108KJUL 4JUL 4

110KJUL 5JUL 5

161KJUL 6JUL 6

161KJUL 7JUL 7

160KJUL 8JUL 8

150KJUL 9JUL 9

137KJUL 10JUL 10

105KJUL 11JUL 11

102KJUL 12JUL 12

150KJUL 13JUL 13

151KJUL 14JUL 14

146KJUL 15JUL 15

149KJUL 16JUL 16

157KJUL 17JUL 17

119KJUL 18JUL 18

117KJUL 19JUL 19

168KJUL 20JUL 20

169KJUL 21JUL 21

145KJUL 22JUL 22

143KJUL 23JUL 23

132KJUL 24JUL 24

106KJUL 25JUL 25

98KJUL 26JUL 26

145KJUL 27JUL 27

147KJUL 28JUL 28

141KJUL 29JUL 29

139KJUL 30JUL 30

142KJUL 31JUL 31

110KAUG 1AUG 1

112KAUG 2AUG 2

169KAUG 3AUG 3

194KAUG 4AUG 4

180KAUG 5AUG 5

183KAUG 6AUG 6

189KAUG 7AUG 7

167KAUG 8AUG 8

161KAUG 9AUG 9

225KAUG 10AUG 10

408KAUG 11AUG 11

406KAUG 12AUG 12

393KAUG 13AUG 13

391KAUG 14AUG 14

333KAUG 15AUG 15

336KAUG 16AUG 16

455KAUG 17AUG 17

427KAUG 18AUG 18

441KAUG 19AUG 19

423KAUG 20AUG 20

432KAUG 21AUG 21

357KAUG 22AUG 22

320KAUG 23AUG 23

453KAUG 24AUG 24

440KAUG 25AUG 25

430KAUG 26AUG 26

396KAUG 27AUG 27

42KAUG 28AUG 28

Weekly Retention. Weekly users returning the next week.

LEARN MORETOP MODELS▸

Session Cost. Average cost per session.

COST / SESSION

TOKENS / SESSION

Cost/Session$0.0093

Tokens/Session933K

LEARN MORESESSION COST▸

Token Cost. Price per 1M tokens.

Input$0.14

Output$0.28

Cached$0.03

LEARN MORETOKEN COST▸

Cache Ratio. Share of input tokens served from cache.

Cache Ratio95%

Cached16T

Uncached782.8B

LEARN MOREMARKET SHARE▸

Geographic Breakdown

Model Comparisons. Popular model pairs from the leaderboard.

Top two by recent usageglm-5.3-flash vs deepseek-v4-flashglm-5.3-flashdeepseek-v4-flash Leader vs challengerglm-5.3-flash vs mimo-v2.5glm-5.3-flashmimo-v2.5 Adjacent leaderboard pairdeepseek-v4-flash vs mimo-v2.5deepseek-v4-flashmimo-v2.5 Top model alternativemimo-v2.5 vs muse-spark-1.2-contributormimo-v2.5muse-spark-1.2-contributor

Model Data

#Top Models. Usage of models across OpenCode.

Top Models. Usage of models across OpenCode.