GitHub[220K]Try OpenCode

Model Data

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

As of October 28, 2026, DeepSeek V4.1 Flash led OpenCode usage over the past 7 days with 109T tokens, followed by MiniMax-M3.1-Flash (8.1T) and GLM-5.3-Flash (7T).

Top Models. Usage of models across OpenCode.

Stacked top model usage chart
Datedeepseek-v4.1-flashminimax-m3.1-flashglm-5.3-flashmuse-spark-1.3-contributorbeam-1.0-501b-a23bmimo-v2.6-flashdeepseek-v4.1-flash-1017nemotron-3-ultraicemanOthertotal
SEP 30B0B538B3.3T0B0B0B388B0B8.0T12T
SEP 40B0B485B4.4T0B0B0B398B0B7.3T13T
SEP 50B0B364B4.6T0B0B0B414B0B5.9T11T
SEP 60B0B343B4.6T0B0B0B390B0B5.7T11T
SEP 70B0B516B4.5T0B0B0B426B0B6.8T12T
SEP 80B0B506B4.6T0B0B0B318B0B7.0T12T
SEP 90B0B546B5.7T0B0B0B322B0B6.7T13T
SEP 103.0T0B603B5.9T0B0B0B336B0B6.5T16T
SEP 115.0T0B468B5.2T0B0B0B272B0B5.1T16T
SEP 125.4T0B400B5.5T0B0B0B410B0B4.7T16T
SEP 135.6T0B403B4.4T0B0B0B311B0B4.6T15T
SEP 146.5T0B624B5.0T0B0B0B307B0B5.5T18T
SEP 157.5T0B635B5.1T0B0B0B306B0B5.6T19T
SEP 168.2T0B596B5.3T0B0B0B391B0B5.6T20T
SEP 178.8T0B566B5.9T0B0B0B438B0B5.1T21T
SEP 188.2T0B0B5.9T0B0B0B541B0B4.8T19T
SEP 196.5T0B380B4.7T0B0B0B515B0B4.1T16T
SEP 206.9T0B426B4.8T0B0B0B503B0B4.2T17T
SEP 218.9T0B566B5.4T0B32B0B489B0B4.9T20T
SEP 228.0T0B506B5.7T0B941B0B507B0B4.8T20T
SEP 237.0T1.5T446B5.8T0B1.2T0B307B0B4.3T21T
SEP 246.2T6.8T402B5.4T0B1.2T0B398B0B4.1T25T
SEP 254.6T9.0T370B5.1T0B1.3T0B642B0B2.7T24T
SEP 264.3T7.9T309B5.1T0B1.2T0B731B0B1.8T21T
SEP 274.4T8.3T299B5.1T0B1.2T0B663B0B1.9T22T
SEP 286.3T8.7T413B5.5T0B1.5T0B634B0B2.9T26T
SEP 296.5T9.6T408B5.3T0B1.5T0B465B0B2.6T26T
SEP 305.8T10T389B4.8T0B1.5T0B459B0B2.4T25T
OCT 15.0T9.7T300B4.6T0B1.4T0B524B0B1.9T23T
OCT 24.9T9.0T277B4.4T0B1.4T0B536B0B1.9T22T
OCT 34.5T8.3T245B5.0T0B1.3T0B577B0B1.7T22T
OCT 44.6T8.9T253B5.2T0B1.3T0B650B0B1.7T23T
OCT 55.6T9.9T327B5.8T0B1.5T0B564B0B2.0T26T
OCT 66.0T5.8T335B6.1T0B2.2T0B516B0B2.6T24T
OCT 75.9T3.9T361B5.8T0B2.4T0B578B0B2.6T22T
OCT 86.6T3.7T381B5.9T0B2.4T0B588B0B2.8T22T
OCT 97.4T3.5T391B5.6T0B1.8T0B640B0B3.2T23T
OCT 107.3T3.3T352B5.8T0B1.5T0B681B0B3.3T22T
OCT 116.7T3.0T317B5.8T0B1.3T0B732B0B2.8T21T
OCT 129.4T3.1T485B5.9T0B1.6T0B705B0B2.7T24T
OCT 1311T3.1T462B6.1T135B1.6T0B657B0B2.7T26T
OCT 1411T3.0T474B6.1T340B1.6T0B659B0B2.4T26T
OCT 1513T2.9T489B5.7T330B1.8T0B476B0B2.3T27T
OCT 1615T2.5T758B5.3T427B1.6T0B42B0B1.9T27T
OCT 1714T2.6T1.4T1.2T836B1.3T0B41B0B1.5T23T
OCT 1813T2.2T1.2T1.1T761B1.4T0B510B0B1.3T22T
OCT 1918T4.7T1.5T1.3T822B1.7T71B508B0B1.7T30T
OCT 2019T10T1.5T1.2T679B1.6T22B637B0B1.7T37T
OCT 2119T14T1.4T1.1T626B1.2T25B692B0B1.4T40T
OCT 2218T7.5T1.5T1.1T817B933B388B642B0B1.3T32T
OCT 2318T162B1.4T1.1T1.0T815B551B539B18B1.2T24T
OCT 2415T121B833B1.0T722B517B6B251B417B1000B19T
OCT 2516T98B910B975B762B571B394B263B262B991B21T
OCT 2620T133B1.1T1.2T849B715B803B0B176B1.3T26T
OCT 2721T120B1.2T1.2T870B678B164B0B585B1.2T27T
OCT 282.1T11B99B109B86B61B0B0B70B109B2.6T
04
muse-spark-1.3-contributor6.8T tokens
Meta-59% vs previous week
05
beam-1.0-501b-a23b5.1T tokens
Reflection+14% vs previous week
06
mimo-v2.6-flash4.3T tokens
Xiaomi-59% vs previous week
07
deepseek-v4.1-flash-10172.3T tokens
DeepSeekNew
08
nemotron-3-ultra1.7T tokens
NVIDIA-42% vs previous week
09
iceman1.5T tokens
New
10
nemotron-3.5-super-vl1.2T tokens
NVIDIA-40% vs previous week
11
gpt-6-luna858B tokens
OpenAI-4% vs previous week
12
deepseek-v4-pro718B tokens
DeepSeek+10% vs previous week
13
deepseek-v4-flash645B tokens
DeepSeek-46% vs previous week
14
mimo-v2.6-pro519B tokens
Xiaomi-3% vs previous week
15
nemotron-3.5-lightning453B tokens
NVIDIA-18% vs previous week
16
mimo-v2.5333B tokens
Xiaomi-9% vs previous week
17
claude-haiku-5-5320B tokens
Anthropic+7% vs previous week
18
minimax-m3295B tokens
MiniMax+35% vs previous week
01
deepseek-v4.1-flash109T tokens
DeepSeek-2% vs previous week
02
minimax-m3.1-flash8.1T tokens
MiniMax-80% vs previous week
03
glm-5.3-flash7.0T tokens
Zhipu-16% vs previous week
04
muse-spark-1.3-contributor6.8T tokens
Meta-59% vs previous week
05
beam-1.0-501b-a23b5.1T tokens
Reflection+14% vs previous week
06
mimo-v2.6-flash4.3T tokens
Xiaomi-59% vs previous week
07
deepseek-v4.1-flash-10172.3T tokens
DeepSeekNew
08
nemotron-3-ultra1.7T tokens
NVIDIA-42% vs previous week
09
iceman1.5T tokens
New
10
nemotron-3.5-super-vl1.2T tokens
NVIDIA-40% vs previous week
11
gpt-6-luna858B tokens
OpenAI-4% vs previous week
12
deepseek-v4-pro718B tokens
DeepSeek+10% vs previous week
13
deepseek-v4-flash645B tokens
DeepSeek-46% vs previous week
14
mimo-v2.6-pro519B tokens
Xiaomi-3% vs previous week
15
nemotron-3.5-lightning453B tokens
NVIDIA-18% vs previous week
16
mimo-v2.5333B tokens
Xiaomi-9% vs previous week
17
claude-haiku-5-5320B tokens
Anthropic+7% vs previous week
18
minimax-m3295B tokens
MiniMax+35% vs previous week
LEARN MORETOP MODELS▸

Unique Users. Daily unique OpenCode users by model.

Stacked unique user chart by model
Datedeepseek-v4.1-flashgpt-6-lunaglm-5.3-flashmimo-v2.6-flashbeam-1.0-501b-a23bmuse-spark-1.3-contributorminimax-m3.1-flashdeepseek-v4.1-flash-1017deepseek-v4-proOthertotal
SEP 30024K0025K0015K288K352K
SEP 40022K0029K0013K264K328K
SEP 50016K0027K008.9K203K254K
SEP 60015K0028K008.8K194K246K
SEP 70021K0033K0012K243K309K
SEP 80021K0035K0011K232K299K
SEP 90020K0034K0011K218K283K
SEP 1032K021K0035K0012K220K319K
SEP 1143K017K0034K008.7K191K293K
SEP 1238K013K0031K006.0K147K235K
SEP 1339K012K0031K006.0K147K235K
SEP 1454K020K0038K009.3K196K317K
SEP 1555K020K0038K008.8K195K317K
SEP 1658K019K0038K008.5K207K331K
SEP 1768K020K0034K008.6K204K334K
SEP 1863K000036K007.6K176K282K
SEP 1953K015K0035K006.7K148K258K
SEP 2054K016K0029K006.9K135K242K
SEP 2180K021K2.2K038K009.6K169K320K
SEP 2266K019K41K036K008.2K162K333K
SEP 2362K2.5K18K39K035K6.9K07.4K138K308K
SEP 2460K12K16K37K034K20K06.8K120K306K
SEP 2549K12K13K21K032K34K05.8K92K260K
SEP 2645K11K12K18K029K36K04.9K76K231K
SEP 2746K12K12K17K028K35K04.8K78K233K
SEP 2862K16K15K22K034K45K07.1K106K307K
SEP 2968K17K15K23K036K49K07.1K102K317K
SEP 3061K16K15K22K034K50K06.6K96K301K
OCT 156K15K13K22K033K49K05.9K83K277K
OCT 254K15K13K22K032K46K05.7K84K271K
OCT 346K13K11K18K029K41K04.5K75K236K
OCT 445K13K11K17K029K41K04.5K73K234K
OCT 554K17K13K21K035K50K06.1K89K284K
OCT 658K17K14K41K038K35K06.2K105K315K
OCT 765K18K14K42K039K25K06.2K113K321K
OCT 874K20K15K42K037K25K06.7K128K347K
OCT 988K20K15K31K035K24K06.4K122K341K
OCT 1080K17K13K28K031K22K05.3K110K307K
OCT 1173K16K11K22K031K19K04.8K100K278K
OCT 1299K24K16K29K037K20K06.7K129K360K
OCT 13102K26K16K27K6.7K37K19K07.1K125K367K
OCT 14107K28K16K32K11K36K18K07.6K120K376K
OCT 15123K29K17K42K8.9K35K18K08.1K119K399K
OCT 16128K27K27K42K11K34K18K07.5K112K408K
OCT 17121K24K31K39K14K11K18K06.3K96K359K
OCT 1898K21K23K28K12K7.9K14K05.4K73K282K
OCT 19137K32K30K36K13K9.8K24K3.4K7.8K95K388K
OCT 20142K33K30K35K12K9.3K29K8247.5K94K393K
OCT 21144K34K32K27K12K9.4K47K1.3K7.7K97K412K
OCT 22149K34K32K24K14K9.4K40K9.5K7.7K92K411K
OCT 23152K34K32K22K16K9.7K4.0K16K7.2K87K379K
OCT 24122K28K25K14K13K8.2K2.8K3.1K5.8K81K303K
OCT 25116K29K24K14K13K7.9K2.6K6.9K5.8K76K296K
OCT 26147K40K30K18K15K9.8K3.3K12K8.4K90K374K
OCT 27154K42K31K18K16K9.8K3.2K3.5K8.9K91K378K
OCT 2858K8.0K7.0K4.5K3.5K3.4K55801.7K16K103K

Weekly Retention. Weekly users returning the next week.

RankModelRetentionRateEligible
01mimo-v2.6-flash77.7%6.1K
02minimax-m3.1-flash75.4%11K
03muse-spark-1.3-contributor69.3%57K
04deepseek-v4.1-flash69.2%413K
05muse-spark-1.2-contributor67.7%3.8K
06mimo-v2.566.9%18K
07mimo-v2.6-pro64.5%5.6K
08longcat-2.064.3%753
09hy363.9%1.9K
10omen-alpha63.4%4.2K
11beam-1.0-501b-a23b63.3%983
12deepseek-v4-flash63.1%139K
13minimax-m2.563.1%179
14longcat-2.5-preview62.6%2.8K
15glm-5.3-flash62.5%83K
LEARN MORETOP MODELS▸

Session Cost. Average cost per session.

COST / SESSION

TOKENS / SESSION

Cost/Session$0.0181

Tokens/Session3.3M

LEARN MORESESSION COST▸

Token Cost. Price per 1M tokens.

Input$0.14

Output$0.28

Cached$0.0028

LEARN MORETOKEN COST▸

Cache Ratio. Share of input tokens served from cache.

Cache Ratio96%

Cached7.8T

Uncached302.5B

LEARN MORECACHE RATIO▸

Market Share. Compare token share by model author.

Market share by model author
DateDeepSeekMetaMiniMaxXiaomiZhipuNVIDIAOtherReflectionMeituan
SEP 334.8%39.4%0.5%12.9%4.9%4.1%3.3%0.0%0.2%
SEP 428.6%43.6%0.4%13.9%4.2%4.2%4.9%0.0%0.2%
SEP 528.3%47.7%0.3%10.6%3.5%4.9%4.7%0.0%0.1%
SEP 628.3%48.0%0.3%10.8%3.4%4.7%4.5%0.0%0.1%
SEP 730.4%43.0%0.4%11.6%4.6%4.2%5.5%0.0%0.1%
SEP 831.2%43.1%0.5%12.1%4.5%3.1%5.5%0.0%0.1%
SEP 927.8%48.0%0.4%11.3%4.4%3.0%5.0%0.0%0.1%
SEP 1040.1%39.7%0.3%10.3%3.9%2.5%3.0%0.0%0.1%
SEP 1148.9%35.7%0.3%8.1%3.1%2.0%1.9%0.0%0.1%
SEP 1250.3%36.4%0.2%5.9%2.6%3.0%1.6%0.0%0.0%
SEP 1354.6%31.9%0.2%6.5%2.8%2.3%1.6%0.0%0.0%
SEP 1453.7%30.7%0.3%7.6%3.7%1.9%2.0%0.0%0.0%
SEP 1555.7%29.3%0.3%7.1%3.5%2.1%2.0%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%2.5%3.5%0.0%0.0%
SEP 1857.2%32.5%0.2%4.8%0.2%3.2%1.8%0.0%0.0%
SEP 1955.4%31.7%0.2%4.9%2.5%3.4%1.9%0.0%0.0%
SEP 2056.3%30.8%0.2%4.9%2.7%3.2%1.8%0.0%0.0%
SEP 2158.3%29.1%0.2%4.9%3.0%2.6%1.9%0.0%0.0%
SEP 2254.3%29.9%0.2%8.5%2.7%2.7%1.7%0.0%0.0%
SEP 2348.4%30.7%7.4%7.8%2.3%1.7%1.6%0.0%0.0%
SEP 2437.1%23.9%28.0%6.0%1.8%1.8%1.4%0.0%0.0%
SEP 2527.0%22.6%37.9%6.6%1.7%2.8%1.4%0.0%0.0%
SEP 2624.7%24.5%37.1%6.6%1.5%3.6%1.4%0.0%0.7%
SEP 2723.9%23.8%38.1%6.5%1.5%3.2%1.3%0.0%1.7%
SEP 2830.0%21.6%33.8%6.7%1.7%2.7%1.4%0.0%2.1%
SEP 2929.8%20.4%36.5%6.6%1.7%1.9%1.1%0.0%2.1%
SEP 3027.5%19.2%39.8%6.7%1.7%1.9%1.0%0.0%2.2%
OCT 125.0%19.9%41.7%6.8%1.4%2.4%1.0%0.0%1.8%
OCT 225.4%20.1%40.1%7.2%1.4%2.6%1.8%0.0%1.4%
OCT 323.8%23.2%38.5%6.9%1.2%2.9%2.2%0.0%1.4%
OCT 422.9%23.2%39.3%6.6%1.2%3.2%2.2%0.0%1.2%
OCT 524.5%22.8%38.7%6.6%1.4%2.5%2.4%0.0%1.1%
OCT 630.0%26.1%24.7%10.3%1.6%2.5%3.2%0.0%1.6%
OCT 732.8%27.2%18.2%11.8%1.8%3.1%3.3%0.0%1.7%
OCT 834.5%26.6%16.7%11.6%1.9%3.0%4.2%0.0%1.6%
OCT 937.5%25.0%15.8%8.4%1.9%3.3%6.6%0.0%1.6%
OCT 1036.9%26.1%15.1%7.4%1.7%3.5%7.8%0.0%1.4%
OCT 1136.1%28.4%14.6%6.9%1.7%4.1%7.0%0.0%1.3%
OCT 1243.2%25.0%13.2%7.5%2.2%3.6%4.1%0.0%1.2%
OCT 1345.7%24.1%12.4%7.0%2.0%3.2%4.1%0.5%1.0%
OCT 1445.4%23.8%11.8%6.9%2.0%3.2%4.3%1.3%1.3%
OCT 1548.8%21.5%11.0%7.3%2.0%2.7%4.1%1.2%1.4%
OCT 1655.3%19.5%9.2%6.6%2.9%1.4%2.2%1.6%1.4%
OCT 1762.3%5.4%11.4%6.0%6.3%2.0%1.3%3.7%1.7%
OCT 1861.6%5.1%10.4%7.1%5.5%4.0%1.2%3.5%1.5%
OCT 1960.8%4.3%15.6%6.1%5.1%3.1%1.3%2.7%1.1%
OCT 2053.2%3.3%28.1%4.6%4.2%2.9%1.0%1.8%0.9%
OCT 2148.2%2.7%36.3%3.4%3.7%2.8%0.9%1.6%0.4%
OCT 2258.3%3.5%23.3%3.3%4.8%3.2%1.1%2.5%0.0%
OCT 2375.4%4.7%0.8%3.9%5.7%3.7%1.5%4.2%0.1%
OCT 2476.0%5.3%0.9%3.3%4.5%2.3%3.9%3.7%0.2%
OCT 2577.8%4.7%0.7%3.4%4.5%2.2%2.9%3.7%0.1%
OCT 2679.9%4.7%0.8%3.4%4.6%0.8%2.5%3.3%0.1%
OCT 2779.3%4.5%0.7%3.1%4.4%1.1%3.8%3.2%0.0%
OCT 2879.8%4.2%0.6%2.8%3.9%0.9%4.5%3.3%0.0%
  1. 01DeepSeek2.1T tokens79.8%
  3. 03Meta110B tokens4.2%
  4. 04Zhipu103B tokens3.9%
  5. 05Reflection86B tokens3.3%
  6. 06Xiaomi74B tokens2.8%
  7. 07NVIDIA24B tokens0.9%
  8. 08MiniMax15B tokens0.6%
  9. 09Meituan1B tokens0.0%

[*]OCT 28 2026

LEARN MOREMARKET SHARE▸

Geographic Breakdown

LEARN MOREGEO BREAKDOWN▸

Methodology. How this data is collected.

Updates
Aggregated every hour. Days and weeks use UTC.
Tokens
Input, output, reasoning, and cached tokens for each request.
Users and sessions
Approximate counts of distinct users and OpenCode sessions.
Cost
Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
Retention
The share of a model's users in one week who use it again the next week.
Citation
Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.

Model Comparisons. Popular model pairs from the leaderboard.