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 118T tokens, followed by MiniMax-M3.1-Flash (8.1T) and GLM-5.3-Flash (7.4T).

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-1017icemannemotron-3-ultraOthertotal
SEP 30B0B538B3.3T0B0B0B0B388B8.0T12T
SEP 40B0B485B4.4T0B0B0B0B398B7.3T13T
SEP 50B0B364B4.6T0B0B0B0B414B5.9T11T
SEP 60B0B343B4.6T0B0B0B0B390B5.7T11T
SEP 70B0B516B4.5T0B0B0B0B426B6.8T12T
SEP 80B0B506B4.6T0B0B0B0B318B7.0T12T
SEP 90B0B546B5.7T0B0B0B0B322B6.7T13T
SEP 103.0T0B603B5.9T0B0B0B0B336B6.5T16T
SEP 115.0T0B468B5.2T0B0B0B0B272B5.1T16T
SEP 125.4T0B400B5.5T0B0B0B0B410B4.7T16T
SEP 135.6T0B403B4.4T0B0B0B0B311B4.6T15T
SEP 146.5T0B624B5.0T0B0B0B0B307B5.5T18T
SEP 157.5T0B635B5.1T0B0B0B0B306B5.6T19T
SEP 168.2T0B596B5.3T0B0B0B0B391B5.6T20T
SEP 178.8T0B566B5.9T0B0B0B0B438B5.1T21T
SEP 188.2T0B0B5.9T0B0B0B0B541B4.8T19T
SEP 196.5T0B380B4.7T0B0B0B0B515B4.1T16T
SEP 206.9T0B426B4.8T0B0B0B0B503B4.2T17T
SEP 218.9T0B566B5.4T0B32B0B0B489B4.9T20T
SEP 228.0T0B506B5.7T0B941B0B0B507B4.8T20T
SEP 237.0T1.5T446B5.8T0B1.2T0B0B307B4.3T21T
SEP 246.2T6.8T402B5.4T0B1.2T0B0B398B4.1T25T
SEP 254.6T9.0T370B5.1T0B1.3T0B0B642B2.7T24T
SEP 264.3T7.9T309B5.1T0B1.2T0B0B731B1.8T21T
SEP 274.4T8.3T299B5.1T0B1.2T0B0B663B1.9T22T
SEP 286.3T8.7T413B5.5T0B1.5T0B0B634B2.9T26T
SEP 296.5T9.6T408B5.3T0B1.5T0B0B465B2.6T26T
SEP 305.8T10T389B4.8T0B1.5T0B0B459B2.4T25T
OCT 15.0T9.7T300B4.6T0B1.4T0B0B524B1.9T23T
OCT 24.9T9.0T277B4.4T0B1.4T0B0B536B1.9T22T
OCT 34.5T8.3T245B5.0T0B1.3T0B0B577B1.7T22T
OCT 44.6T8.9T253B5.2T0B1.3T0B0B650B1.7T23T
OCT 55.6T9.9T327B5.8T0B1.5T0B0B564B2.0T26T
OCT 66.0T5.8T335B6.1T0B2.2T0B0B516B2.6T24T
OCT 75.9T3.9T361B5.8T0B2.4T0B0B578B2.6T22T
OCT 86.6T3.7T381B5.9T0B2.4T0B0B588B2.8T22T
OCT 97.4T3.5T391B5.6T0B1.8T0B0B640B3.2T23T
OCT 107.3T3.3T352B5.8T0B1.5T0B0B681B3.3T22T
OCT 116.7T3.0T317B5.8T0B1.3T0B0B732B2.8T21T
OCT 129.4T3.1T485B5.9T0B1.6T0B0B705B2.7T24T
OCT 1311T3.1T462B6.1T135B1.6T0B0B657B2.7T26T
OCT 1411T3.0T474B6.1T340B1.6T0B0B659B2.4T26T
OCT 1513T2.9T489B5.7T330B1.8T0B0B476B2.3T27T
OCT 1615T2.5T758B5.3T427B1.6T0B0B42B1.9T27T
OCT 1714T2.6T1.4T1.2T836B1.3T0B0B41B1.5T23T
OCT 1813T2.2T1.2T1.1T761B1.4T0B0B510B1.3T22T
OCT 1918T4.7T1.5T1.3T822B1.7T71B0B508B1.7T30T
OCT 2019T10T1.5T1.2T679B1.6T22B0B637B1.7T37T
OCT 2119T14T1.4T1.1T626B1.2T25B0B692B1.4T40T
OCT 2218T7.5T1.5T1.1T817B933B388B0B642B1.3T32T
OCT 2318T162B1.4T1.1T1.0T815B551B18B539B1.2T24T
OCT 2415T121B833B1.0T722B517B6B417B251B1000B19T
OCT 2516T98B910B975B762B571B394B262B263B991B21T
OCT 2620T133B1.1T1.2T849B715B803B176B0B1.3T26T
OCT 2721T120B1.2T1.2T870B678B164B585B0B1.2T27T
OCT 2811T45B505B554B385B305B0B332B0B538B13T
04
muse-spark-1.3-contributor7.2T tokens
Meta-57% vs previous week
05
beam-1.0-501b-a23b5.4T tokens
Reflection+21% vs previous week
06
mimo-v2.6-flash4.5T tokens
Xiaomi-57% vs previous week
07
deepseek-v4.1-flash-10172.3T tokens
DeepSeekNew
08
iceman1.8T tokens
New
09
nemotron-3-ultra1.7T tokens
NVIDIA-42% vs previous week
10
nemotron-3.5-super-vl1.3T tokens
NVIDIA-36% vs previous week
11
gpt-6-luna907B tokens
OpenAI+2% vs previous week
12
deepseek-v4-pro760B tokens
DeepSeek+16% vs previous week
13
deepseek-v4-flash645B tokens
DeepSeek-46% vs previous week
14
mimo-v2.6-pro548B tokens
Xiaomi+2% vs previous week
15
nemotron-3.5-lightning478B tokens
NVIDIA-13% vs previous week
16
mimo-v2.5353B tokens
Xiaomi-4% vs previous week
17
claude-haiku-5-5345B tokens
Anthropic+16% vs previous week
18
minimax-m3315B tokens
MiniMax+44% vs previous week
01
deepseek-v4.1-flash118T tokens
DeepSeek+6% vs previous week
02
minimax-m3.1-flash8.1T tokens
MiniMax-79% vs previous week
03
glm-5.3-flash7.4T tokens
Zhipu-11% vs previous week
04
muse-spark-1.3-contributor7.2T tokens
Meta-57% vs previous week
05
beam-1.0-501b-a23b5.4T tokens
Reflection+21% vs previous week
06
mimo-v2.6-flash4.5T tokens
Xiaomi-57% vs previous week
07
deepseek-v4.1-flash-10172.3T tokens
DeepSeekNew
08
iceman1.8T tokens
New
09
nemotron-3-ultra1.7T tokens
NVIDIA-42% vs previous week
10
nemotron-3.5-super-vl1.3T tokens
NVIDIA-36% vs previous week
11
gpt-6-luna907B tokens
OpenAI+2% vs previous week
12
deepseek-v4-pro760B tokens
DeepSeek+16% vs previous week
13
deepseek-v4-flash645B tokens
DeepSeek-46% vs previous week
14
mimo-v2.6-pro548B tokens
Xiaomi+2% vs previous week
15
nemotron-3.5-lightning478B tokens
NVIDIA-13% vs previous week
16
mimo-v2.5353B tokens
Xiaomi-4% vs previous week
17
claude-haiku-5-5345B tokens
Anthropic+16% vs previous week
18
minimax-m3315B tokens
MiniMax+44% 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-1017icemanOthertotal
SEP 30024K0025K000303K352K
SEP 40022K0029K000276K328K
SEP 50016K0027K000212K254K
SEP 60015K0028K000203K246K
SEP 70021K0033K000255K309K
SEP 80021K0035K000243K299K
SEP 90020K0034K000229K283K
SEP 1032K021K0035K000232K319K
SEP 1143K017K0034K000200K293K
SEP 1238K013K0031K000153K235K
SEP 1339K012K0031K000153K235K
SEP 1454K020K0038K000206K317K
SEP 1555K020K0038K000204K317K
SEP 1658K019K0038K000216K331K
SEP 1768K020K0034K000213K334K
SEP 1863K000036K000184K282K
SEP 1953K015K0035K000154K258K
SEP 2054K016K0029K000142K242K
SEP 2180K021K2.2K038K000178K320K
SEP 2266K019K41K036K000170K333K
SEP 2362K2.5K18K39K035K6.9K00145K308K
SEP 2460K12K16K37K034K20K00127K306K
SEP 2549K12K13K21K032K34K0098K260K
SEP 2645K11K12K18K029K36K0081K231K
SEP 2746K12K12K17K028K35K0083K233K
SEP 2862K16K15K22K034K45K00113K307K
SEP 2968K17K15K23K036K49K00109K317K
SEP 3061K16K15K22K034K50K00102K301K
OCT 156K15K13K22K033K49K0089K277K
OCT 254K15K13K22K032K46K0090K271K
OCT 346K13K11K18K029K41K0079K236K
OCT 445K13K11K17K029K41K0078K234K
OCT 554K17K13K21K035K50K0095K284K
OCT 658K17K14K41K038K35K00112K315K
OCT 765K18K14K42K039K25K00119K321K
OCT 874K20K15K42K037K25K00134K347K
OCT 988K20K15K31K035K24K00129K341K
OCT 1080K17K13K28K031K22K00116K307K
OCT 1173K16K11K22K031K19K00105K278K
OCT 1299K24K16K29K037K20K00136K360K
OCT 13102K26K16K27K6.7K37K19K00132K367K
OCT 14107K28K16K32K11K36K18K00127K376K
OCT 15123K29K17K42K8.9K35K18K00127K399K
OCT 16128K27K27K42K11K34K18K00120K408K
OCT 17121K24K31K39K14K11K18K00102K359K
OCT 1898K21K23K28K12K7.9K14K0078K282K
OCT 19137K32K30K36K13K9.8K24K3.4K0103K388K
OCT 20142K33K30K35K12K9.3K29K8240102K393K
OCT 21144K34K32K27K12K9.4K47K1.3K0105K412K
OCT 22149K34K32K24K14K9.4K40K9.5K0100K411K
OCT 23152K34K32K22K16K9.7K4.0K16K1.3K93K379K
OCT 24122K28K25K14K13K8.2K2.8K3.1K11K76K303K
OCT 25116K29K24K14K13K7.9K2.6K6.9K7.5K74K296K
OCT 26147K40K30K18K15K9.8K3.3K12K6.9K91K374K
OCT 27154K42K31K18K16K9.8K3.2K3.5K14K86K378K
OCT 28119K26K20K12K9.5K7.2K1.7K09.0K50K254K

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$0.0182

Tokens/Session3.3M

LEARN MORESESSION COST▸

Token Cost. Price per 1M tokens.

Input$0.07

Output$0.30

Cached$0.0015

LEARN MORETOKEN COST▸

Cache Ratio. Share of input tokens served from cache.

Cache Ratio96%

Cached7.8T

Uncached303.6B

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 2880.7%4.1%0.5%2.7%3.9%1.0%4.2%2.9%0.0%
  1. 01DeepSeek11T tokens80.7%
  3. 03Meta558B tokens4.1%
  4. 04Zhipu524B tokens3.9%
  5. 05Reflection385B tokens2.9%
  6. 06Xiaomi368B tokens2.7%
  7. 07NVIDIA132B tokens1.0%
  8. 08MiniMax70B tokens0.5%
  9. 09Meituan3.4B 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.