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 26, 2026, DeepSeek V4.1 Flash led OpenCode usage over the past 7 days with 118T tokens, followed by MiniMax-M3.1-Flash (33T) and GLM-5.3-Flash (8.4T).

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-contributormimo-v2.6-flashbeam-1.0-501b-a23bnemotron-3-ultradeepseek-v4.1-flash-1017nemotron-3.5-super-vlOthertotal
SEP 10B0B695B0B0B0B368B0B0B9.5T11T
SEP 20B0B581B117B0B0B412B0B0B9.3T10T
SEP 30B0B538B3.3T0B0B388B0B0B8.0T12T
SEP 40B0B485B4.4T0B0B398B0B0B7.3T13T
SEP 50B0B364B4.6T0B0B414B0B0B5.9T11T
SEP 60B0B343B4.6T0B0B390B0B0B5.7T11T
SEP 70B0B516B4.5T0B0B426B0B0B6.8T12T
SEP 80B0B506B4.6T0B0B318B0B0B7.0T12T
SEP 90B0B546B5.7T0B0B322B0B0B6.7T13T
SEP 103.0T0B603B5.9T0B0B336B0B0B6.5T16T
SEP 115.0T0B468B5.2T0B0B272B0B0B5.1T16T
SEP 125.4T0B400B5.5T0B0B410B0B0B4.7T16T
SEP 135.6T0B403B4.4T0B0B311B0B0B4.6T15T
SEP 146.5T0B624B5.0T0B0B307B0B0B5.5T18T
SEP 157.5T0B635B5.1T0B0B306B0B0B5.6T19T
SEP 168.2T0B596B5.3T0B0B391B0B0B5.6T20T
SEP 178.8T0B566B5.9T0B0B438B0B0B5.1T21T
SEP 188.2T0B0B5.9T0B0B541B0B0B4.8T19T
SEP 196.5T0B380B4.7T0B0B515B0B0B4.1T16T
SEP 206.9T0B426B4.8T0B0B503B0B0B4.2T17T
SEP 218.9T0B566B5.4T32B0B489B0B0B4.9T20T
SEP 228.0T0B506B5.7T941B0B507B0B0B4.8T20T
SEP 237.0T1.5T446B5.8T1.2T0B307B0B0B4.3T21T
SEP 246.2T6.8T402B5.4T1.2T0B398B0B0B4.1T25T
SEP 254.6T9.0T370B5.1T1.3T0B642B0B0B2.7T24T
SEP 264.3T7.9T309B5.1T1.2T0B731B0B0B1.8T21T
SEP 274.4T8.3T299B5.1T1.2T0B663B0B0B1.9T22T
SEP 286.3T8.7T413B5.5T1.5T0B634B0B0B2.9T26T
SEP 296.5T9.6T408B5.3T1.5T0B465B0B0B2.6T26T
SEP 305.8T10T389B4.8T1.5T0B459B0B0B2.4T25T
OCT 15.0T9.7T300B4.6T1.4T0B524B0B0B1.9T23T
OCT 24.9T9.0T277B4.4T1.4T0B536B0B0B1.9T22T
OCT 34.5T8.3T245B5.0T1.3T0B577B0B0B1.7T22T
OCT 44.6T8.9T253B5.2T1.3T0B650B0B0B1.7T23T
OCT 55.6T9.9T327B5.8T1.5T0B564B0B0B2.0T26T
OCT 66.0T5.8T335B6.1T2.2T0B516B0B0B2.6T24T
OCT 75.9T3.9T361B5.8T2.4T0B578B0B0B2.6T22T
OCT 86.6T3.7T381B5.9T2.4T0B588B0B0B2.8T22T
OCT 97.4T3.5T391B5.6T1.8T0B640B0B0B3.2T23T
OCT 107.3T3.3T352B5.8T1.5T0B681B0B0B3.3T22T
OCT 116.7T3.0T317B5.8T1.3T0B732B0B0B2.8T21T
OCT 129.4T3.1T485B5.9T1.6T0B705B0B0B2.7T24T
OCT 1311T3.1T462B6.1T1.6T135B657B0B0B2.7T26T
OCT 1411T3.0T474B6.1T1.6T340B659B0B0B2.4T26T
OCT 1513T2.9T489B5.7T1.8T330B476B0B87B2.2T27T
OCT 1615T2.5T758B5.3T1.6T427B42B0B293B1.6T27T
OCT 1714T2.6T1.4T1.2T1.3T836B41B0B374B1.2T23T
OCT 1813T2.2T1.2T1.1T1.4T761B510B0B334B1.0T22T
OCT 1918T4.7T1.5T1.3T1.7T822B508B71B335B1.4T30T
OCT 2019T10T1.5T1.2T1.6T679B637B22B331B1.3T37T
OCT 2119T14T1.4T1.1T1.2T626B692B25B307B1.1T40T
OCT 2218T7.5T1.5T1.1T933B817B642B388B291B960B32T
OCT 2318T162B1.4T1.1T815B1.0T539B551B279B969B24T
OCT 2415T121B833B1.0T517B722B251B6B140B1.3T19T
OCT 2516T98B910B975B571B762B263B394B148B1.1T21T
OCT 2614T82B808B811B495B554B0B532B92B888B18T
04
muse-spark-1.3-contributor7.3T tokens
Meta-72% vs previous week
05
mimo-v2.6-flash6.1T tokens
Xiaomi-45% vs previous week
06
beam-1.0-501b-a23b5.2T tokens
Reflection+42% vs previous week
07
nemotron-3-ultra3.0T tokens
NVIDIA+5% vs previous week
08
deepseek-v4.1-flash-10171.9T tokens
DeepSeekNew
09
nemotron-3.5-super-vl1.6T tokens
NVIDIA+12% vs previous week
10
deepseek-v4-flash988B tokens
DeepSeek-46% vs previous week
11
gpt-6-luna902B tokens
OpenAI+2% vs previous week
12
iceman818B tokens
New
13
deepseek-v4-pro706B tokens
DeepSeek+9% vs previous week
14
nemotron-3.5-lightning571B tokens
NVIDIA-11% vs previous week
15
longcat-2.5-preview556B tokens
Meituan-77% vs previous week
16
mimo-v2.6-pro516B tokens
Xiaomi-11% vs previous week
17
mimo-v2.5351B tokens
Xiaomi-7% vs previous week
18
claude-haiku-5-5321B tokens
Anthropic0% vs previous week
01
deepseek-v4.1-flash118T tokens
DeepSeek+25% vs previous week
02
minimax-m3.1-flash33T tokens
MiniMax+56% vs previous week
03
glm-5.3-flash8.4T tokens
Zhipu+34% vs previous week
04
muse-spark-1.3-contributor7.3T tokens
Meta-72% vs previous week
05
mimo-v2.6-flash6.1T tokens
Xiaomi-45% vs previous week
06
beam-1.0-501b-a23b5.2T tokens
Reflection+42% vs previous week
07
nemotron-3-ultra3.0T tokens
NVIDIA+5% vs previous week
08
deepseek-v4.1-flash-10171.9T tokens
DeepSeekNew
09
nemotron-3.5-super-vl1.6T tokens
NVIDIA+12% vs previous week
10
deepseek-v4-flash988B tokens
DeepSeek-46% vs previous week
11
gpt-6-luna902B tokens
OpenAI+2% vs previous week
12
iceman818B tokens
New
13
deepseek-v4-pro706B tokens
DeepSeek+9% vs previous week
14
nemotron-3.5-lightning571B tokens
NVIDIA-11% vs previous week
15
longcat-2.5-preview556B tokens
Meituan-77% vs previous week
16
mimo-v2.6-pro516B tokens
Xiaomi-11% vs previous week
17
mimo-v2.5351B tokens
Xiaomi-7% vs previous week
18
claude-haiku-5-5321B tokens
Anthropic0% 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-flashminimax-m3.1-flashbeam-1.0-501b-a23bmuse-spark-1.3-contributordeepseek-v4-prodeepseek-v4.1-flash-1017Othertotal
SEP 10024K000017K0301K343K
SEP 20023K0002.6K16K0290K332K
SEP 30024K00025K15K0288K352K
SEP 40022K00029K13K0264K328K
SEP 50016K00027K8.9K0203K254K
SEP 60015K00028K8.8K0194K246K
SEP 70021K00033K12K0243K309K
SEP 80021K00035K11K0232K299K
SEP 90020K00034K11K0218K283K
SEP 1032K021K00035K12K0220K319K
SEP 1143K017K00034K8.7K0191K293K
SEP 1238K013K00031K6.0K0147K235K
SEP 1339K012K00031K6.0K0147K235K
SEP 1454K020K00038K9.3K0196K317K
SEP 1555K020K00038K8.8K0195K317K
SEP 1658K019K00038K8.5K0207K331K
SEP 1768K020K00034K8.6K0204K334K
SEP 1863K0000036K7.6K0176K282K
SEP 1953K015K00035K6.7K0148K258K
SEP 2054K016K00029K6.9K0135K242K
SEP 2180K021K2.2K0038K9.6K0169K320K
SEP 2266K019K41K0036K8.2K0162K333K
SEP 2362K2.5K18K39K6.9K035K7.4K0138K308K
SEP 2460K12K16K37K20K034K6.8K0120K306K
SEP 2549K12K13K21K34K032K5.8K092K260K
SEP 2645K11K12K18K36K029K4.9K076K231K
SEP 2746K12K12K17K35K028K4.8K078K233K
SEP 2862K16K15K22K45K034K7.1K0106K307K
SEP 2968K17K15K23K49K036K7.1K0102K317K
SEP 3061K16K15K22K50K034K6.6K096K301K
OCT 156K15K13K22K49K033K5.9K083K277K
OCT 254K15K13K22K46K032K5.7K084K271K
OCT 346K13K11K18K41K029K4.5K075K236K
OCT 445K13K11K17K41K029K4.5K073K234K
OCT 554K17K13K21K50K035K6.1K089K284K
OCT 658K17K14K41K35K038K6.2K0105K315K
OCT 765K18K14K42K25K039K6.2K0113K321K
OCT 874K20K15K42K25K037K6.7K0128K347K
OCT 988K20K15K31K24K035K6.4K0122K341K
OCT 1080K17K13K28K22K031K5.3K0110K307K
OCT 1173K16K11K22K19K031K4.8K0100K278K
OCT 1299K24K16K29K20K037K6.7K0129K360K
OCT 13102K26K16K27K19K6.7K37K7.1K0125K367K
OCT 14107K28K16K32K18K11K36K7.6K0120K376K
OCT 15123K29K17K42K18K8.9K35K8.1K0119K399K
OCT 16128K27K27K42K18K11K34K7.5K0112K408K
OCT 17121K24K31K39K18K14K11K6.3K096K359K
OCT 1898K21K23K28K14K12K7.9K5.4K073K282K
OCT 19137K32K30K36K24K13K9.8K7.8K3.4K95K388K
OCT 20142K33K30K35K29K12K9.3K7.5K82494K393K
OCT 21144K34K32K27K47K12K9.4K7.7K1.3K97K412K
OCT 22149K34K32K24K40K14K9.4K7.7K9.5K92K411K
OCT 23152K34K32K22K4.0K16K9.7K7.2K16K87K379K
OCT 24122K28K25K14K2.8K13K8.2K5.8K3.1K81K303K
OCT 25116K29K24K14K2.6K13K7.9K5.8K6.9K76K296K
OCT 26130K32K25K14K2.6K12K8.4K6.5K9.8K71K311K

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$0.0176

Tokens/Session3.2M

LEARN MORESESSION COST▸

Token Cost. Price per 1M tokens.

Input$0.12

Output$0.42

Cached$0.03

LEARN MORETOKEN COST▸

Cache Ratio. Share of input tokens served from cache.

Cache Ratio96%

Cached5.0T

Uncached195.5B

LEARN MORECACHE RATIO▸

Market Share. Compare token share by model author.

Market share by model author
DateDeepSeekMetaMiniMaxXiaomiZhipuNVIDIAOtherMeituanReflection
SEP 144.8%21.5%0.6%16.8%7.3%4.6%4.1%0.2%0.0%
SEP 243.1%24.3%0.6%16.5%6.2%5.0%4.1%0.2%0.0%
SEP 334.8%39.4%0.5%12.9%4.9%4.1%3.3%0.2%0.0%
SEP 428.6%43.6%0.4%13.9%4.2%4.2%4.9%0.2%0.0%
SEP 528.3%47.7%0.3%10.6%3.5%4.9%4.7%0.1%0.0%
SEP 628.3%48.0%0.3%10.8%3.4%4.7%4.5%0.1%0.0%
SEP 730.4%43.0%0.4%11.6%4.6%4.2%5.5%0.1%0.0%
SEP 831.2%43.1%0.5%12.1%4.5%3.1%5.5%0.1%0.0%
SEP 927.8%48.0%0.4%11.3%4.4%3.0%5.0%0.1%0.0%
SEP 1040.1%39.7%0.3%10.3%3.9%2.5%3.0%0.1%0.0%
SEP 1148.9%35.7%0.3%8.1%3.1%2.0%1.9%0.1%0.0%
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%0.7%0.0%
SEP 2723.9%23.8%38.1%6.5%1.5%3.2%1.3%1.7%0.0%
SEP 2830.0%21.6%33.8%6.7%1.7%2.7%1.4%2.1%0.0%
SEP 2929.8%20.4%36.5%6.6%1.7%1.9%1.1%2.1%0.0%
SEP 3027.5%19.2%39.8%6.7%1.7%1.9%1.0%2.2%0.0%
OCT 125.0%19.9%41.7%6.8%1.4%2.4%1.0%1.8%0.0%
OCT 225.4%20.1%40.1%7.2%1.4%2.6%1.8%1.4%0.0%
OCT 323.8%23.2%38.5%6.9%1.2%2.9%2.2%1.4%0.0%
OCT 422.9%23.2%39.3%6.6%1.2%3.2%2.2%1.2%0.0%
OCT 524.5%22.8%38.7%6.6%1.4%2.5%2.4%1.1%0.0%
OCT 630.0%26.1%24.7%10.3%1.6%2.5%3.2%1.6%0.0%
OCT 732.8%27.2%18.2%11.8%1.8%3.1%3.3%1.7%0.0%
OCT 834.5%26.6%16.7%11.6%1.9%3.0%4.2%1.6%0.0%
OCT 937.5%25.0%15.8%8.4%1.9%3.3%6.6%1.6%0.0%
OCT 1036.9%26.1%15.1%7.4%1.7%3.5%7.8%1.4%0.0%
OCT 1136.1%28.4%14.6%6.9%1.7%4.1%7.0%1.3%0.0%
OCT 1243.2%25.0%13.2%7.5%2.2%3.6%4.1%1.2%0.0%
OCT 1345.7%24.1%12.4%7.0%2.0%3.2%4.1%1.0%0.5%
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%1.4%1.2%
OCT 1655.3%19.5%9.2%6.6%2.9%1.4%2.2%1.4%1.6%
OCT 1762.3%5.4%11.4%6.0%6.3%2.0%1.3%1.7%3.7%
OCT 1861.6%5.1%10.4%7.1%5.5%4.0%1.2%1.5%3.5%
OCT 1960.8%4.3%15.6%6.1%5.1%3.1%1.3%1.1%2.7%
OCT 2053.2%3.3%28.1%4.6%4.2%2.9%1.0%0.9%1.8%
OCT 2148.2%2.7%36.3%3.4%3.7%2.8%0.9%0.4%1.6%
OCT 2258.3%3.5%23.3%3.3%4.8%3.2%1.1%0.0%2.5%
OCT 2375.4%4.7%0.8%3.9%5.7%3.7%1.5%0.1%4.2%
OCT 2476.0%5.3%0.9%3.3%4.5%2.3%3.9%0.2%3.7%
OCT 2577.8%4.7%0.7%3.4%4.5%2.2%2.9%0.1%3.7%
OCT 2680.8%4.5%0.7%3.3%4.6%0.8%2.3%0.1%3.0%
  1. 01DeepSeek15T tokens80.8%
  2. 02Zhipu841B tokens4.6%
  3. 03Meta819B tokens4.5%
  4. 04Xiaomi597B tokens3.3%
  5. 05Reflection554B tokens3.0%
  7. 07NVIDIA149B tokens0.8%
  8. 08MiniMax124B tokens0.7%
  9. 09Meituan10B tokens0.1%

[*]OCT 26 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.