AI Model Usage Rankings | OpenCode Data

Model Data

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

As of October 29, 2026, DeepSeek V4.1 Flash led OpenCode usage over the past 7 days with 111T tokens, followed by Muse Spark 1.3 Contributor (6.8T) and GLM-5.3-Flash (6.5T).

Top Models. Usage of models across OpenCode.

Stacked top model usage chart
Datedeepseek-v4.1-flashmuse-spark-1.3-contributorglm-5.3-flashbeam-1.0-501b-a23bmimo-v2.6-flashicemandeepseek-v4.1-flash-1017nemotron-3.5-super-vlnemotron-3-ultraOthertotal
SEP 40B4.4T485B0B0B0B0B0B398B7.3T13T
SEP 50B4.6T364B0B0B0B0B0B414B5.9T11T
SEP 60B4.6T343B0B0B0B0B0B390B5.7T11T
SEP 70B4.5T516B0B0B0B0B0B426B6.8T12T
SEP 80B4.6T506B0B0B0B0B0B318B7.0T12T
SEP 90B5.7T546B0B0B0B0B0B322B6.7T13T
SEP 103.0T5.9T603B0B0B0B0B0B336B6.5T16T
SEP 115.0T5.2T468B0B0B0B0B0B272B5.1T16T
SEP 125.4T5.5T400B0B0B0B0B0B410B4.7T16T
SEP 135.6T4.4T403B0B0B0B0B0B311B4.6T15T
SEP 146.5T5.0T624B0B0B0B0B0B307B5.5T18T
SEP 157.5T5.1T635B0B0B0B0B0B306B5.6T19T
SEP 168.2T5.3T596B0B0B0B0B0B391B5.6T20T
SEP 178.8T5.9T566B0B0B0B0B0B438B5.1T21T
SEP 188.2T5.9T0B0B0B0B0B0B541B4.8T19T
SEP 196.5T4.7T380B0B0B0B0B0B515B4.1T16T
SEP 206.9T4.8T426B0B0B0B0B0B503B4.2T17T
SEP 218.9T5.4T566B0B32B0B0B0B489B4.9T20T
SEP 228.0T5.7T506B0B941B0B0B0B507B4.8T20T
SEP 237.0T5.8T446B0B1.2T0B0B0B307B5.8T21T
SEP 246.2T5.4T402B0B1.2T0B0B0B398B11T25T
SEP 254.6T5.1T370B0B1.3T0B0B0B642B12T24T
SEP 264.3T5.1T309B0B1.2T0B0B0B731B9.7T21T
SEP 274.4T5.1T299B0B1.2T0B0B0B663B10T22T
SEP 286.3T5.5T413B0B1.5T0B0B0B634B12T26T
SEP 296.5T5.3T408B0B1.5T0B0B0B465B12T26T
SEP 305.8T4.8T389B0B1.5T0B0B0B459B13T25T
OCT 15.0T4.6T300B0B1.4T0B0B0B524B12T23T
OCT 24.9T4.4T277B0B1.4T0B0B0B536B11T22T
OCT 34.5T5.0T245B0B1.3T0B0B0B577B10T22T
OCT 44.6T5.2T253B0B1.3T0B0B0B650B11T23T
OCT 55.6T5.8T327B0B1.5T0B0B0B564B12T26T
OCT 66.0T6.1T335B0B2.2T0B0B0B516B8.3T24T
OCT 75.9T5.8T361B0B2.4T0B0B0B578B6.5T22T
OCT 86.6T5.9T381B0B2.4T0B0B0B588B6.5T22T
OCT 97.4T5.6T391B0B1.8T0B0B0B640B6.8T23T
OCT 107.3T5.8T352B0B1.5T0B0B0B681B6.7T22T
OCT 116.7T5.8T317B0B1.3T0B0B0B732B5.8T21T
OCT 129.4T5.9T485B0B1.6T0B0B0B705B5.8T24T
OCT 1311T6.1T462B135B1.6T0B0B0B657B5.8T26T
OCT 1411T6.1T474B340B1.6T0B0B0B659B5.4T26T
OCT 1513T5.7T489B330B1.8T0B0B87B476B5.1T27T
OCT 1615T5.3T758B427B1.6T0B0B293B42B4.1T27T
OCT 1714T1.2T1.4T836B1.3T0B0B374B41B3.7T23T
OCT 1813T1.1T1.2T761B1.4T0B0B334B510B3.2T22T
OCT 1918T1.3T1.5T822B1.7T0B71B335B508B6.1T30T
OCT 2019T1.2T1.5T679B1.6T0B22B331B637B12T37T
OCT 2119T1.1T1.4T626B1.2T0B25B307B692B15T40T
OCT 2218T1.1T1.5T817B933B0B388B291B642B8.4T32T
OCT 2318T1.1T1.4T1.0T815B18B551B279B539B1.1T24T
OCT 2415T1.0T833B722B517B417B6B140B251B981B19T
OCT 2516T975B910B762B571B262B394B148B263B941B21T
OCT 2620T1.2T1.1T849B715B176B803B137B0B1.3T26T
OCT 2721T1.2T1.2T870B678B585B164B223B0B1.1T27T
OCT 2822T1.2T1.1T859B648B594B0B221B0B1.2T27T
OCT 29785B47B45B42B28B13B0B8B0B51B1.0T
04
beam-1.0-501b-a23b5.1T tokens
Reflection+3% vs previous week
05
mimo-v2.6-flash4.0T tokens
Xiaomi-59% vs previous week
06
iceman2.1T tokens
New
07
deepseek-v4.1-flash-10171.9T tokens
DeepSeek+279% vs previous week
08
nemotron-3.5-super-vl1.2T tokens
NVIDIA-49% vs previous week
09
nemotron-3-ultra1.1T tokens
NVIDIA-66% vs previous week
10
gpt-6-luna862B tokens
OpenAI-5% vs previous week
11
minimax-m3.1-flash746B tokens
MiniMax-98% vs previous week
12
deepseek-v4-pro740B tokens
DeepSeek+11% vs previous week
13
mimo-v2.6-pro524B tokens
Xiaomi+1% vs previous week
14
deepseek-v4-flash478B tokens
DeepSeek-58% vs previous week
15
nemotron-3.5-lightning409B tokens
NVIDIA-20% vs previous week
16
mimo-v2.5342B tokens
Xiaomi-4% vs previous week
17
claude-haiku-5-5330B tokens
Anthropic+11% vs previous week
18
minimax-m3318B tokens
MiniMax+49% vs previous week
01
deepseek-v4.1-flash111T tokens
DeepSeek-4% vs previous week
02
muse-spark-1.3-contributor6.8T tokens
Meta-44% vs previous week
03
glm-5.3-flash6.5T tokens
Zhipu-30% vs previous week
04
beam-1.0-501b-a23b5.1T tokens
Reflection+3% vs previous week
05
mimo-v2.6-flash4.0T tokens
Xiaomi-59% vs previous week
06
iceman2.1T tokens
New
07
deepseek-v4.1-flash-10171.9T tokens
DeepSeek+279% vs previous week
08
nemotron-3.5-super-vl1.2T tokens
NVIDIA-49% vs previous week
09
nemotron-3-ultra1.1T tokens
NVIDIA-66% vs previous week
10
gpt-6-luna862B tokens
OpenAI-5% vs previous week
11
minimax-m3.1-flash746B tokens
MiniMax-98% vs previous week
12
deepseek-v4-pro740B tokens
DeepSeek+11% vs previous week
13
mimo-v2.6-pro524B tokens
Xiaomi+1% vs previous week
14
deepseek-v4-flash478B tokens
DeepSeek-58% vs previous week
15
nemotron-3.5-lightning409B tokens
NVIDIA-20% vs previous week
16
mimo-v2.5342B tokens
Xiaomi-4% vs previous week
17
claude-haiku-5-5330B tokens
Anthropic+11% vs previous week
18
minimax-m3318B tokens
MiniMax+49% 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-contributoricemandeepseek-v4-prodeepseek-v4.1-flash-1017Othertotal
SEP 40022K0029K013K0264K328K
SEP 50016K0027K08.9K0203K254K
SEP 60015K0028K08.8K0194K246K
SEP 70021K0033K012K0243K309K
SEP 80021K0035K011K0232K299K
SEP 90020K0034K011K0218K283K
SEP 1032K021K0035K012K0220K319K
SEP 1143K017K0034K08.7K0191K293K
SEP 1238K013K0031K06.0K0147K235K
SEP 1339K012K0031K06.0K0147K235K
SEP 1454K020K0038K09.3K0196K317K
SEP 1555K020K0038K08.8K0195K317K
SEP 1658K019K0038K08.5K0207K331K
SEP 1768K020K0034K08.6K0204K334K
SEP 1863K000036K07.6K0176K282K
SEP 1953K015K0035K06.7K0148K258K
SEP 2054K016K0029K06.9K0135K242K
SEP 2180K021K2.2K038K09.6K0169K320K
SEP 2266K019K41K036K08.2K0162K333K
SEP 2362K2.5K18K39K035K07.4K0145K308K
SEP 2460K12K16K37K034K06.8K0140K306K
SEP 2549K12K13K21K032K05.8K0127K260K
SEP 2645K11K12K18K029K04.9K0112K231K
SEP 2746K12K12K17K028K04.8K0113K233K
SEP 2862K16K15K22K034K07.1K0150K307K
SEP 2968K17K15K23K036K07.1K0151K317K
SEP 3061K16K15K22K034K06.6K0145K301K
OCT 156K15K13K22K033K05.9K0132K277K
OCT 254K15K13K22K032K05.7K0130K271K
OCT 346K13K11K18K029K04.5K0116K236K
OCT 445K13K11K17K029K04.5K0114K234K
OCT 554K17K13K21K035K06.1K0138K284K
OCT 658K17K14K41K038K06.2K0141K315K
OCT 765K18K14K42K039K06.2K0138K321K
OCT 874K20K15K42K037K06.7K0153K347K
OCT 988K20K15K31K035K06.4K0146K341K
OCT 1080K17K13K28K031K05.3K0133K307K
OCT 1173K16K11K22K031K04.8K0119K278K
OCT 1299K24K16K29K037K06.7K0149K360K
OCT 13102K26K16K27K6.7K37K07.1K0145K367K
OCT 14107K28K16K32K11K36K07.6K0138K376K
OCT 15123K29K17K42K8.9K35K08.1K0136K399K
OCT 16128K27K27K42K11K34K07.5K0131K408K
OCT 17121K24K31K39K14K11K06.3K0114K359K
OCT 1898K21K23K28K12K7.9K05.4K087K282K
OCT 19137K32K30K36K13K9.8K07.8K3.4K119K388K
OCT 20142K33K30K35K12K9.3K07.5K824124K393K
OCT 21144K34K32K27K12K9.4K07.7K1.3K145K412K
OCT 22149K34K32K24K14K9.4K07.7K9.5K133K411K
OCT 23152K34K32K22K16K9.7K1.3K7.2K16K90K379K
OCT 24122K28K25K14K13K8.2K11K5.8K3.1K73K303K
OCT 25116K29K24K14K13K7.9K7.5K5.8K6.9K71K296K
OCT 26147K40K30K18K15K9.8K6.9K8.4K12K86K374K
OCT 27154K42K31K18K16K9.8K14K8.9K3.5K80K378K
OCT 28158K42K30K18K15K9.8K13K8.7K078K374K
OCT 2938K4.0K4.4K2.9K2.3K2.5K7711.1K08.1K64K

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$0.0187

Tokens/Session3.4M

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 Ratio97%

Cached107T

Uncached3.3T

LEARN MORECACHE RATIO▸

Market Share. Compare token share by model author.

Market share by model author
DateDeepSeekMetaMiniMaxXiaomiZhipuNVIDIAOtherReflectionMeituan
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%4.3%0.6%2.9%4.1%1.0%4.1%3.1%0.0%
OCT 2978.5%4.6%0.6%3.3%4.6%0.9%3.4%4.1%0.0%
  1. 01DeepSeek798B tokens78.5%
  2. 02Meta47B tokens4.6%
  3. 03Zhipu46B tokens4.6%
  4. 04Reflection42B tokens4.1%
  6. 06Xiaomi34B tokens3.3%
  7. 07NVIDIA9B tokens0.9%
  8. 08MiniMax5.9B tokens0.6%
  9. 09Meituan322M tokens0.0%

[*]OCT 29 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.