AI Context Window

A context window is the total number of tokens a model can handle in one request. Input and output share that budget. Output is the completion cap inside the window. Input is the context minus that cap, unless the lab publishes a separate input limit. The context score places the window on a 100-point log scale between 4,096 and 10,000,000 tokens. A higher score means a larger window.

Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC

2M Context Window AI Models

Model NameContextInputOutputContext Score
2M200K1.8M79
2M200K1.8M79

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1M Context Window AI Models

Model NameContextInputOutputContext Score
1.31M1.29M16.4K74
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M922K128K71
1.05M984K65.5K71
1.05M814K236K71
1.05M919K131K71
1.05M919K131K71
1.05M787K262K71
1.05M105K944K71
1.05M786K262K71
1.05M105K944K71
1.05M655K393K71
1.05M105K944K71
1.05M983K65.5K71
1.05M983K65.5K71
1.05M983K65.5K71
1.05M983K65.5K71
1.05M983K65.5K71
1.05M983K65.5K71
1.05M983K65.5K71
1.05M983K65.5K71
1.05M983K65.5K71
1.05M983K65.5K71
1.05M983K65.5K71
1.05M983K65.5K71
1.05M983K65.5K71
1.05M983K65.5K71
1.05M105K944K71
1.05M105K944K71
1.05M105K944K71
1.05M105K944K71
1.05M105K944K71
1.05M105K944K71
1.05M105K944K71
1.05M105K944K71
1.05M537K512K71
1.05M524K524K71
1.05M786K262K71
1.05M105K944K71
1.05M105K944K71
1.05M786K262K71
1.05M813K236K71
1.05M918K131K71
1.05M918K131K71
1.05M918K131K71
1.05M918K131K71
1.05M985K64K71
1.05M985K64K71
1.05M918K131K71
1.05M105K944K71
1.05M105K944K71
1.05M918K131K71
1.05M918K131K71
1.05M918K131K71
1.05M1.01M32.8K71
1.05M1.01M32.8K71
1.05M105K943K71
1.04M1.03M8.2K71
1.02M788K236K71
1.02M205K819K71
1M100K900K70
1M872K128K70
1M872K128K70
1M872K128K70
1M872K128K70
1M872K128K70
1M872K128K70
1M872K128K70
1M872K128K70
1M936K64K70
1M872K128K70
1M872K128K70
1M872K128K70
1M869K131K70
1M738K262K70
1M960K40K70
1M967K32.8K70
1M934K65.5K70
1M934K65.5K70
1M934K65.5K70
1M934K65.5K70
1M869K131K70
1M869K131K70
1M869K131K70
1M869K131K70
1M869K131K70
1M869K131K70
1M872K128K70
1M872K128K70
1M872K128K70
1M100K900K70
1M869K131K70

400K Context Window AI Models

Model NameContextInputOutputContext Score
524K508K16.4K62
524K52.4K472K62
524K262K262K62
524K393K131K62
524K393K131K62
500K50K450K62
500K50K450K62
500K50K450K62
400K272K128K59
400K272K128K59
400K272K128K59
400K272K128K59
400K272K128K59
400K272K128K59
400K272K128K59
400K272K128K59
400K272K128K59
400K272K128K59
400K272K128K59
400K272K128K59
400K272K128K59
400K272K128K59
400K272K128K59

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256K Context Window AI Models

Model NameContextInputOutputContext Score
300K295K5.1K55
300K295K5.1K55
262K229K32.8K53
262K229K32.8K53
262K229K32.8K53
262K229K32.8K53
262K26.2K236K53
262K131K131K53
262K131K131K53
262K131K131K53
262K6.1K256K53
262K229K32.8K53
262K246K16.4K53
262K229K32.8K53
262K52.4K210K53
262K52.4K210K53
262K52.4K210K53
262K52.4K210K53
262K52.4K210K53
262K52.4K210K53
262K164K98.3K53
262K164K98.3K53
262K26.2K236K53
262K26.2K236K53
262K26.2K236K53
262K26.2K236K53
262K26.2K236K53
262K79.6K183K53
262K26.2K236K53
262K131K131K53
262K229K32.8K53
262K197K65.5K53
262K144K118K53
262K26.2K236K53
262K26.2K236K53
262K197K65.5K53
262K26.2K236K53
262K26.2K236K53
262K229K32.8K53
262K246K16.4K53
262K26.2K236K53
262K26.2K236K53
262K26.2K236K53
262K197K65.5K53
262K180K81.9K53
262K180K81.9K53
262K26.2K236K53
262K197K65.5K53
262K26.2K236K53
262K197K65.5K53
262K197K65.5K53
262K31.7K230K53
262K134K128K53
262K26.2K236K53
260K194K65.5K53
256K248K8.2K53
256K51.2K205K53
256K240K16.4K53
256K25.6K230K53

200K Context Window AI Models

Model NameContextInputOutputContext Score
205K73.7K131K50
205K172K32.8K50
205K73.7K131K50
205K73.7K131K50
205K73.7K131K50
205K73.7K131K50
205K73.7K131K50
203K71.7K131K50
203K71.7K131K50
200K136K64K50
200K168K32K50
200K136K64K50
200K100K100K50
200K100K100K50
200K82K118K50

128K Context Window AI Models

Model NameContextInputOutputContext Score
164K148K16K47
164K48.6K115K47
164K16.4K147K47
164K16.4K147K47
164K16.4K147K47
164K16.4K147K47
164K131K32.8K47
164K147K16.4K47
131K98.3K32.8K44
131K98.3K32.8K44
131K98.3K32.8K44
131K115K16.4K44
131K13.1K118K44
131K115K16.4K44
131K13.1K118K44
131K98.3K32.8K44
131K115K16.4K44
131K13.1K118K44
131K59.1K72K44
131K3.1K128K44
131K115K16.4K44
131K26.2K105K44
131K26.2K105K44
131K26.2K105K44
131K26.2K105K44
131K115K16.4K44
131K32.8K98.3K44
131K13.1K118K44
131K65.5K65.5K44
131K13.1K118K44
131K65.5K65.5K44
131K115K16.4K44
131K115K16.4K44
131K13.1K118K44
131K13.1K118K44
131K32.8K98.3K44
131K32.8K98.3K44
128K123K5.1K44
128K126K2K44
128K124K4K44
128K124K4K44
128K124K4K44
128K78K50K44
128K120K8.2K44
128K120K8.2K44
128K25.6K102K44
128K25.6K102K44
128K112K16.4K44
128K112K16.4K44
128K96K32K44
128K12.8K115K44
128K112K16.4K44
128K120K8.2K44

64K Context Window AI Models

Model NameContextInputOutputContext Score
65.5K63.5K2K36
65.5K13.1K52.4K36
65.5K6.6K59K36
65.5K49.2K16.4K36
60K6K54K34

32K Context Window AI Models

Model NameContextInputOutputContext Score
41K24.6K16.4K30
41K24.6K16.4K30
36.9K28.7K8.2K28
32.8K3.3K29.5K27
32.8K28.7K4.1K27
32.8K16.4K16.4K27
32.8K6.6K26.2K27
32.8K6.6K26.2K27
32.8K24.6K8.2K27
32.8K3.3K29.5K27
32.8K16.4K16.4K27
32.8K3.3K29.5K27
32.8K3.3K29.5K27
32K27.9K4.1K26
32K27.9K4.1K26

16K Context Window AI Models

Model NameContextInputOutputContext Score
16.4K12.3K4.1K18
16.4K1.6K14.7K18

8K Context Window AI Models

Model NameContextInputOutputContext Score
8.2K6.1K2K9
8.2K4.5K3.7K9
8.2K8207.4K9
8.2K4.1K4.1K9
8K2K6K9
6.1K6155.5K5

4K Context Window AI Models

Model NameContextInputOutputContext Score
4.1K4103.7K0

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Frequently asked questions

What is an AI context window?

A context window is the total number of tokens a model can handle in one request. Input and output share that budget. Output is the completion cap inside the window. Input is the context minus that cap, unless the lab publishes a separate input limit. The context score places the window on a 100-point log scale between 4,096 and 10,000,000 tokens. A higher score means a larger window.