GitHub[225K]Wypróbuj OpenCode

Dane modeli

Zobacz, które modele wygrywają w realnym użyciu, jak zmienia się miks i co to oznacza dla kosztów.

Według stanu na 7 listopada 2026 w ostatnich 7 dniach pod względem użycia OpenCode prowadził DeepSeek V4.1 Flash z 147T tokenów, a kolejne miejsca zajęły GLM-5.3-Flash (6.3T) i Muse Spark 1.3 Contributor (6.3T).

Najlepsze modele. Użycie modeli w OpenCode.

Skumulowany wykres użycia najlepszych modeli
Datadeepseek-v4.1-flashglm-5.3-flashmuse-spark-1.3-contributorbeam-1.0-501b-a23bmimo-v2.6-flashnemotron-3.5-super-vlpulse-alphagpt-6-lunacrouton-alphaOtherrazem
SEP 135.6T403B4.4T0B0B0B0B0B0B4.9T15T
SEP 146.5T624B5.0T0B0B0B0B0B0B5.8T18T
SEP 157.5T635B5.1T0B0B0B0B0B0B5.9T19T
SEP 168.2T596B5.3T0B0B0B0B0B0B6.0T20T
SEP 178.8T566B5.9T0B0B0B0B0B0B5.6T21T
SEP 188.2T487B5.9T0B0B0B0B0B0B5.3T20T
SEP 196.5T380B4.7T0B0B0B0B0B0B4.6T16T
SEP 206.9T426B4.8T0B0B0B0B0B0B4.7T17T
SEP 218.9T566B5.4T0B32B0B0B0B0B5.4T20T
SEP 228.0T506B5.7T0B941B0B0B0B0B5.3T20T
SEP 237.0T446B5.8T0B1.2T0B0B8B0B6.1T21T
SEP 246.2T402B5.4T0B1.2T0B0B81B0B11T25T
SEP 254.6T370B5.1T0B1.3T0B0B97B0B12T24T
SEP 264.3T309B5.1T0B1.2T0B0B86B0B10T21T
SEP 274.4T299B5.1T0B1.2T0B0B85B0B11T22T
SEP 286.3T413B5.5T0B1.5T0B0B131B0B12T26T
SEP 296.5T408B5.3T0B1.5T0B0B142B0B13T26T
SEP 305.8T389B4.8T0B1.5T0B0B120B0B13T25T
OCT 15.0T300B4.6T0B1.4T0B0B82B0B12T23T
OCT 24.9T277B4.4T0B1.4T0B0B53B0B11T22T
OCT 34.5T245B5.0T0B1.3T0B0B47B0B11T22T
OCT 44.6T253B5.2T0B1.3T0B0B72B0B11T23T
OCT 55.6T327B5.8T0B1.5T0B0B109B0B12T26T
OCT 66.0T335B6.1T0B2.2T0B0B151B0B8.7T24T
OCT 75.9T361B5.8T0B2.4T0B0B151B0B6.9T22T
OCT 86.6T381B5.9T0B2.4T0B0B137B0B7.0T22T
OCT 97.4T391B5.6T0B1.8T0B0B127B0B7.3T23T
OCT 107.3T352B5.8T0B1.5T0B0B111B0B7.2T22T
OCT 116.7T317B5.8T0B1.3T0B0B102B0B6.4T21T
OCT 129.4T485B5.9T0B1.6T0B0B143B0B6.4T24T
OCT 1311T462B6.1T135B1.6T0B0B139B0B6.3T26T
OCT 1411T474B6.1T340B1.6T0B0B137B0B5.9T26T
OCT 1513T489B5.7T330B1.8T87B0B131B0B5.5T27T
OCT 1615T758B5.3T427B1.6T293B0B127B0B4.0T27T
OCT 1714T1.4T1.2T836B1.3T374B0B108B0B3.7T23T
OCT 1813T1.2T1.1T761B1.4T334B0B98B0B3.7T22T
OCT 1918T1.5T1.3T822B1.7T335B0B147B0B6.5T30T
OCT 2019T1.5T1.2T679B1.6T331B0B145B0B12T37T
OCT 2119T1.4T1.1T626B1.2T307B0B138B0B16T40T
OCT 2218T1.5T1.1T817B933B291B0B141B0B9.3T32T
OCT 2318T1.4T1.1T1.0T815B279B0B135B0B2.1T24T
OCT 2415T833B1.0T722B517B140B0B116B0B1.5T19T
OCT 2516T910B975B762B571B148B0B120B0B1.7T21T
OCT 2620T1.1T1.2T849B715B137B0B168B0B2.1T26T
OCT 2721T1.2T1.2T870B678B223B0B162B0B1.7T27T
OCT 2822T1.1T1.2T859B648B221B0B155B0B1.6T27T
OCT 2920T1.0T1.1T893B604B169B0B153B0B1.4T26T
OCT 3019T932B1.1T926B575B130B0B142B0B1.4T24T
OCT 3118T837B970B883B472B139B0B125B0B1.3T23T
NOV 119T834B925B884B416B137B0B120B0B1.3T23T
NOV 224T1.0T1.1T914B507B159B6B185B0B1.6T29T
NOV 327T1.0T1.1T859B520B142B337B187B2B1.3T32T
NOV 426T1.0T1.0T812B552B387B415B167B36B1.2T32T
NOV 525T1.1T1.0T834B542B535B449B165B129B1.2T31T
NOV 623T1.1T996B846B573B505B370B157B674B1.1T29T
NOV 73.3T180B155B145B92B80B0B21B133B167B4.3T
04
beam-1.0-501b-a23b5.3T tokeny
Reflection-12% vs poprzedni tydzień
05
mimo-v2.6-flash3.2T tokeny
Xiaomi-25% vs poprzedni tydzień
06
nemotron-3.5-super-vl1.9T tokeny
NVIDIA+67% vs poprzedni tydzień
07
pulse-alpha1.6T tokeny
Nowy
08
gpt-6-luna1.0T tokeny
OpenAI-2% vs poprzedni tydzień
09
crouton-alpha973B tokeny
Nowy
10
deepseek-v4.1-flash-1017-op962B tokeny
DeepSeek+157% vs poprzedni tydzień
11
deepseek-v4-pro851B tokeny
DeepSeek-4% vs poprzedni tydzień
12
deepseek-v4.1-flash-1017611B tokeny
DeepSeek-65% vs poprzedni tydzień
13
nemotron-3.5-lightning604B tokeny
NVIDIA+15% vs poprzedni tydzień
14
minimax-m3.1-flash558B tokeny
MiniMax-23% vs poprzedni tydzień
15
flint-40b548B tokeny
Recursive+14% vs poprzedni tydzień
16
iceman-contributor533B tokeny
+57% vs poprzedni tydzień
17
mimo-v2.6-pro412B tokeny
Xiaomi-28% vs poprzedni tydzień
18
claude-haiku-5-5408B tokeny
Anthropic+2% vs poprzedni tydzień
01
deepseek-v4.1-flash147T tokeny
DeepSeek+8% vs poprzedni tydzień
02
glm-5.3-flash6.3T tokeny
Zhipu-11% vs poprzedni tydzień
03
muse-spark-1.3-contributor6.3T tokeny
Meta-19% vs poprzedni tydzień
04
beam-1.0-501b-a23b5.3T tokeny
Reflection-12% vs poprzedni tydzień
05
mimo-v2.6-flash3.2T tokeny
Xiaomi-25% vs poprzedni tydzień
06
nemotron-3.5-super-vl1.9T tokeny
NVIDIA+67% vs poprzedni tydzień
07
pulse-alpha1.6T tokeny
Nowy
08
gpt-6-luna1.0T tokeny
OpenAI-2% vs poprzedni tydzień
09
crouton-alpha973B tokeny
Nowy
10
deepseek-v4.1-flash-1017-op962B tokeny
DeepSeek+157% vs poprzedni tydzień
11
deepseek-v4-pro851B tokeny
DeepSeek-4% vs poprzedni tydzień
12
deepseek-v4.1-flash-1017611B tokeny
DeepSeek-65% vs poprzedni tydzień
13
nemotron-3.5-lightning604B tokeny
NVIDIA+15% vs poprzedni tydzień
14
minimax-m3.1-flash558B tokeny
MiniMax-23% vs poprzedni tydzień
15
flint-40b548B tokeny
Recursive+14% vs poprzedni tydzień
16
iceman-contributor533B tokeny
+57% vs poprzedni tydzień
17
mimo-v2.6-pro412B tokeny
Xiaomi-28% vs poprzedni tydzień
18
claude-haiku-5-5408B tokeny
Anthropic+2% vs poprzedni tydzień
DOWIEDZ SIĘ WIĘCEJNAJLEPSZE MODELE▸

Unikalni użytkownicy. Dzienni unikalni użytkownicy OpenCode według modelu.

Skumulowany wykres unikalnych użytkowników według modelu
Datadeepseek-v4.1-flashgpt-6-lunaglm-5.3-flashmimo-v2.6-flashbeam-1.0-501b-a23bmuse-spark-1.3-contributordeepseek-v4-proclaude-haiku-5-5glm-5.3Otherrazem
SEP 1339K012K0031K6.0K03.7K141K233K
SEP 1454K020K0037K9.3K05.5K190K316K
SEP 1555K020K0037K8.8K05.3K189K315K
SEP 1658K019K0037K8.5K05.5K199K328K
SEP 1768K020K0033K8.6K06.0K197K332K
SEP 1863K019K0033K7.6K05.6K165K293K
SEP 1953K015K0028K6.7K04.4K126K234K
SEP 2054K016K0025K6.9K04.5K117K223K
SEP 2180K021K2.2K038K9.6K06.0K163K320K
SEP 2266K019K41K036K8.2K05.6K156K333K
SEP 2362K2.5K18K39K035K7.4K04.7K140K308K
SEP 2460K12K16K37K034K6.8K04.3K136K306K
SEP 2549K12K13K21K032K5.8K03.6K123K260K
SEP 2645K11K12K18K029K4.9K03.2K109K231K
SEP 2746K12K12K17K028K4.8K03.4K110K233K
SEP 2862K16K15K22K034K7.1K04.9K145K307K
SEP 2968K17K15K23K036K7.1K05.0K146K317K
SEP 3061K16K15K22K034K6.6K04.8K141K301K
OCT 156K15K13K22K033K5.9K04.3K128K277K
OCT 254K15K13K22K032K5.7K04.2K126K271K
OCT 346K13K11K18K029K4.5K03.6K112K236K
OCT 445K13K11K17K029K4.5K03.5K111K234K
OCT 554K17K13K21K035K6.1K04.7K134K284K
OCT 658K17K14K41K038K6.2K04.7K136K315K
OCT 765K18K14K42K039K6.2K6914.6K133K321K
OCT 874K20K15K42K037K6.7K4.9K5.0K143K347K
OCT 988K20K15K31K035K6.4K5.4K4.8K136K341K
OCT 1080K17K13K28K031K5.3K4.8K4.3K123K307K
OCT 1173K16K11K22K031K4.8K4.4K3.9K111K278K
OCT 1299K24K16K29K037K6.7K6.5K5.4K137K360K
OCT 13102K26K16K27K6.7K37K7.1K6.3K5.5K133K367K
OCT 14107K28K16K32K11K36K7.6K6.3K5.6K126K376K
OCT 15123K29K17K42K8.9K35K8.1K6.6K5.9K124K399K
OCT 16128K27K27K42K11K34K7.5K5.8K5.6K119K408K
OCT 17121K24K31K39K14K11K6.3K4.9K4.5K105K359K
OCT 1898K21K23K28K12K7.9K5.4K4.2K3.8K79K282K
OCT 19137K32K30K36K13K9.8K7.8K6.2K5.5K111K388K
OCT 20142K33K30K35K12K9.3K7.5K6.1K5.5K113K393K
OCT 21144K34K32K27K12K9.4K7.7K6.2K5.9K134K412K
OCT 22149K34K32K24K14K9.4K7.7K6.3K5.4K130K411K
OCT 23152K34K32K22K16K9.7K7.2K6.0K5.1K96K379K
OCT 24122K28K25K14K13K8.2K5.8K5.0K4.3K77K303K
OCT 25116K29K24K14K13K7.9K5.8K5.1K4.1K76K296K
OCT 26147K40K30K18K15K9.8K8.4K6.9K5.7K93K374K
OCT 27154K42K31K18K16K9.8K8.9K7.1K5.7K85K378K
OCT 28158K42K30K18K15K9.8K8.7K7.3K5.3K79K374K
OCT 29161K42K31K18K16K9.7K8.6K7.3K5.3K74K372K
OCT 30153K40K29K17K16K9.2K7.8K6.9K5.0K73K357K
OCT 31130K33K24K14K15K7.9K6.5K5.9K4.3K64K305K
NOV 1129K33K24K14K14K7.4K6.6K5.8K4.2K62K300K
NOV 2173K46K31K17K16K9.1K9.2K8.3K5.7K85K400K
NOV 3180K48K32K17K17K9.3K9.4K8.7K5.8K75K401K
NOV 4184K47K32K17K16K9.2K9.0K8.4K5.6K79K408K
NOV 5190K48K34K17K17K9.4K9.3K8.7K5.8K80K419K
NOV 6187K46K36K17K16K9.3K9.5K8.3K5.8K78K413K
NOV 773K10K9.6K5.3K4.7K3.7K2.1K1.9K1.2K18K130K

Weekly Retention. Weekly users returning the next week.

RankModelRetentionRateEligible
01gemini-4-argon83.1%178
02mimo-v2.6-flash78.9%7.5K
03deepseek-v4.1-flash72.8%522K
04minimax-m3.1-flash72.3%14K
05beam-1.0-501b-a23b72.0%3.2K
06muse-spark-1.3-contributor69.3%58K
07mimo-v2.6-pro66.8%6.8K
08gpt-6-luna65.1%13K
09minimax-m2.564.9%134
10claude-haiku-5-564.2%5.1K
11mimo-v2.563.8%14K
12hy363.8%1.3K
13muse-spark-1.2-contributor63.2%1.7K
14glm-5.3-flash62.1%73K
15qwen3.7-plus61.7%6.1K
DOWIEDZ SIĘ WIĘCEJNAJLEPSZE MODELE▸

Koszt sesji. Średni koszt na sesję.

KOSZT / SESJA

TOKENY / SESJA

Koszt/sesja$0.0195

Tokeny/sesja3.5M

DOWIEDZ SIĘ WIĘCEJKOSZT SESJI▸

Koszt tokenów. Cena za 1 mln tokenów.

Wejście$0.12

Wyjście$0.42

Z cache$0.03

DOWIEDZ SIĘ WIĘCEJKOSZT TOKENÓW▸

Współczynnik cache. Udział tokenów wejściowych obsłużonych z cache.

Współczynnik cache97%

Z cache142T

Bez cache4.2T

DOWIEDZ SIĘ WIĘCEJWSPÓŁCZYNNIK CACHE▸

Udział w rynku. Porównaj udział tokenów według autora modelu.

Udział w rynku według autora modelu
DataDeepSeekMetaMiniMaxXiaomiZhipuOtherNVIDIAReflectionMeituan
SEP 1354.6%31.9%0.2%6.5%2.8%1.6%2.3%0.0%0.0%
SEP 1453.7%30.7%0.3%7.6%3.7%2.0%1.9%0.0%0.0%
SEP 1555.7%29.3%0.3%7.1%3.5%2.0%2.1%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%3.5%2.5%0.0%0.0%
SEP 1855.8%31.7%0.2%4.7%2.6%1.8%3.1%0.0%0.0%
SEP 1955.4%31.7%0.2%4.9%2.5%1.9%3.4%0.0%0.0%
SEP 2056.3%30.8%0.2%4.9%2.7%1.8%3.2%0.0%0.0%
SEP 2158.3%29.1%0.2%4.9%3.0%1.9%2.6%0.0%0.0%
SEP 2254.3%29.9%0.2%8.5%2.7%1.7%2.7%0.0%0.0%
SEP 2348.4%30.7%7.4%7.8%2.3%1.6%1.7%0.0%0.0%
SEP 2437.1%23.9%28.0%6.0%1.8%1.4%1.8%0.0%0.0%
SEP 2527.0%22.6%37.9%6.6%1.7%1.4%2.8%0.0%0.0%
SEP 2624.7%24.5%37.1%6.6%1.5%1.4%3.6%0.0%0.7%
SEP 2723.9%23.8%38.1%6.5%1.5%1.3%3.2%0.0%1.7%
SEP 2830.0%21.6%33.8%6.7%1.7%1.4%2.7%0.0%2.1%
SEP 2929.8%20.4%36.5%6.6%1.7%1.1%1.9%0.0%2.1%
SEP 3027.5%19.2%39.8%6.7%1.7%1.0%1.9%0.0%2.2%
OCT 125.0%19.9%41.7%6.8%1.4%1.0%2.4%0.0%1.8%
OCT 225.4%20.1%40.1%7.2%1.4%1.8%2.6%0.0%1.4%
OCT 323.8%23.2%38.5%6.9%1.2%2.2%2.9%0.0%1.4%
OCT 422.9%23.2%39.3%6.6%1.2%2.2%3.2%0.0%1.2%
OCT 524.5%22.8%38.7%6.6%1.4%2.4%2.5%0.0%1.1%
OCT 630.0%26.1%24.7%10.3%1.6%3.2%2.5%0.0%1.6%
OCT 732.8%27.2%18.2%11.8%1.8%3.3%3.1%0.0%1.7%
OCT 834.5%26.6%16.7%11.6%1.9%4.2%3.0%0.0%1.6%
OCT 937.5%25.0%15.8%8.4%1.9%6.6%3.3%0.0%1.6%
OCT 1036.9%26.1%15.1%7.4%1.7%7.8%3.5%0.0%1.4%
OCT 1136.1%28.4%14.6%6.9%1.7%7.0%4.1%0.0%1.3%
OCT 1243.2%25.0%13.2%7.5%2.2%4.1%3.6%0.0%1.2%
OCT 1345.7%24.1%12.4%7.0%2.0%4.1%3.2%0.5%1.0%
OCT 1445.4%23.8%11.8%6.9%2.0%4.3%3.2%1.3%1.3%
OCT 1548.8%21.5%11.0%7.3%2.0%4.1%2.7%1.2%1.4%
OCT 1655.3%19.5%9.2%6.6%2.9%2.2%1.4%1.6%1.4%
OCT 1762.3%5.4%11.4%6.0%6.3%1.3%2.0%3.7%1.7%
OCT 1861.6%5.1%10.4%7.1%5.5%1.2%4.0%3.5%1.5%
OCT 1960.8%4.3%15.6%6.1%5.1%1.3%3.1%2.7%1.1%
OCT 2053.2%3.3%28.1%4.6%4.2%1.0%2.9%1.8%0.9%
OCT 2148.2%2.7%36.3%3.4%3.7%0.9%2.8%1.6%0.4%
OCT 2258.3%3.5%23.3%3.3%4.8%1.1%3.2%2.5%0.0%
OCT 2375.4%4.7%0.8%3.9%5.7%1.5%3.7%4.2%0.1%
OCT 2476.0%5.3%0.9%3.3%4.5%3.9%2.3%3.7%0.2%
OCT 2577.8%4.7%0.7%3.4%4.5%2.9%2.2%3.7%0.1%
OCT 2679.9%4.7%0.8%3.4%4.6%2.5%0.8%3.3%0.1%
OCT 2779.3%4.5%0.7%3.1%4.4%3.8%1.1%3.2%0.0%
OCT 2879.8%4.3%0.6%2.9%4.1%4.1%1.0%3.1%0.0%
OCT 2980.7%4.4%0.6%2.7%4.2%2.9%1.0%3.5%0.0%
OCT 3080.7%4.6%0.6%2.7%4.0%2.7%0.9%3.8%0.0%
OCT 3181.8%4.3%0.5%2.3%3.8%2.5%1.0%3.8%0.0%
NOV 182.5%4.0%0.4%2.0%3.7%2.5%0.9%3.8%0.0%
NOV 283.4%3.7%0.5%2.0%3.7%2.7%0.9%3.1%0.0%
NOV 384.1%3.5%0.5%1.8%3.4%3.4%0.7%2.7%0.0%
NOV 483.5%3.2%0.4%1.9%3.4%3.4%1.6%2.5%0.0%
NOV 582.0%3.3%0.5%1.9%3.6%3.9%2.1%2.7%0.0%
NOV 679.4%3.4%0.4%2.2%4.0%5.6%2.1%2.9%0.0%
NOV 778.2%3.6%0.4%2.3%4.3%5.6%2.1%3.4%0.0%
  1. 01DeepSeek3.4T tokeny78.2%
  3. 03Zhipu186B tokeny4.3%
  4. 04Meta156B tokeny3.6%
  5. 05Reflection145B tokeny3.4%
  6. 06Xiaomi101B tokeny2.3%
  7. 07NVIDIA93B tokeny2.1%
  8. 08MiniMax17B tokeny0.4%
  9. 09Meituan843M tokeny0.0%

[*]NOV 7 2026

DOWIEDZ SIĘ WIĘCEJUDZIAŁ W RYNKU▸

Podział geograficzny

DOWIEDZ SIĘ WIĘCEJPODZIAŁ GEOGRAFICZNY▸

Metodologia. Jak zbieramy te dane.

Aktualizacje
Dane są agregowane co godzinę. Dni i tygodnie liczone są według UTC.
Tokeny
Tokeny wejściowe, wyjściowe, tokeny rozumowania i tokeny z cache dla każdego żądania.
Użytkownicy i sesje
Przybliżona liczba unikalnych użytkowników i sesji OpenCode.
Koszt
Koszt sesji to średni koszt na sesję OpenCode. Ceny tokenów to standardowe ceny z katalogu modeli OpenCode.
Retencja
Odsetek użytkowników modelu w danym tygodniu, którzy ponownie korzystają z niego w kolejnym tygodniu.
Cytowanie
Cytując, podaj OpenCode Data (opencode.ai/data) oraz czas aktualizacji widoczny u góry strony.

Model Comparisons. Popular model pairs from the leaderboard.