Best AI models for web search
A leaderboard of the best AI models for web search. Claude 3.7 Sonnet is #1 right now, followed by o3 and o4-mini. Models are ranked on web research tests like BrowseComp, with search turned on. Filter by your computer or budget to find the best one you can use.
Scores use reviewed web search evaluations only. Compare scores within this task. Models without task measurements are excluded.
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Score vs API price
● open weights ◆ API only ─┘ best score for the price · x: USD per 1M tokens, 3 input : 1 output (log)
| # | model | task score↓ | where↓ | speed↓ | sources |
|---|
| # | model | task score↓ | where↓ | speed↓ | sources |
|---|---|---|---|---|---|
| 1 | 92±2* | comparison only | |||
| 2 | 92±2* | api $3.50/M | |||
| 3 | 87±2* | api $1.93/M | |||
| 4 | 83±2* | comparison only | |||
| 5 | 79±3* | api $3.50/M | |||
| 6 | 79±3* | comparison only | |||
| 7 | 75±3* | api $26.25/M | |||
| 8 | 74±3* | api $0.70/M | |||
| 9 | 74±3* | api $4.38/M | |||
| 10 | 67±3* | comparison only | |||
| 11 | 67±5* | api $8.00/M | |||
| 12 | 66±3* | comparison only | |||
| 13 | 65±3* | api $1.93/M | |||
| 14 | 63±4*† | api $20.00/M | |||
| 15 | 62±3* | api $0.26/M | |||
| 16 | 62±3* | local | |||
| 17 | 62±6*† | api $8.00/M | |||
| 18 | 62±4*† | api $4.50/M | |||
| 19 | 62±4*† | api $67.50/M | |||
| 20 | 62±4*† | api $67.50/M | |||
| 21 | 61±4*† | api $10.00/M | |||
| 22 | 60±6*† | api $20.00/M | |||
| 23 | 59±6*† | api $4.00/M | |||
| 24 | 58±4 | api $20.00/M | |||
| 25 | 58±4*† | limited preview | |||
| 26 | 57±4*† | api $0.45/M | |||
| 27 | 55±2 | api $11.25/M | |||
| 28 | 55±6* | api $10.00/M | |||
| 29 | 55±3 | api $5.63/M | |||
| 30 | 55±10* | api $1.56/M | |||
| 31 | 54±2 | api $10.00/M | |||
| 32 | 54±10* | api $3.00/M | |||
| 33 | 54±10* | comparison only | |||
| 34 | 54±6*† | api $0.20/M | |||
| 35 | 53±4 | api $4.00/M | |||
| 36 | 53±5* | api $10.00/M | |||
| 37 | 52±3 | api $6.00/M | |||
| 38 | 52±10* | api $0.28/M | |||
| 39 | 52±4* | api $0.15/M +local | |||
| 40 | 52±4*† | api $4.81/M | |||
| 41 | 52±10* | api $1.13/M | |||
| 42 | 52±8*† | api $0.24/M +local | |||
| 43 | 51±10* | api $10.00/M | |||
| 44 | 51±6*† | api $1.30/M +local | |||
| 45 | 50±3 | api $2.15/M +local | |||
| 46 | 50±10* | api $3.44/M | |||
| 47 | 50±10* | api $3.44/M | |||
| 48 | 50±3* | api $3.38/M | |||
| 49 | 49±3* | api $0.48/M +local | |||
| 50 | 49±5* | api $4.38/M +local | |||
| 51 | 48±10* | api $6.00/M | |||
| 52 | 48±6*† | api $0.64/M +local | |||
| 53 | 47±10* | comparison only | |||
| 54 | 47±3* | api $3.75/M | |||
| 55 | 46±2 | api $2.15/M +local | |||
| 56 | 46±6* | api $1.20/M +local | |||
| 57 | 45±3 | api $4.50/M | |||
| 58 | 45±10* | api $4.81/M | |||
| 59 | 45±10* | comparison only | |||
| 60 | 44±2 | local | |||
| 61 | 44±3† | api $1.55/M +local | |||
| 62 | 43±6* | api $0.42/M +local | |||
| 63 | 43±10* | comparison only | |||
| 64 | 42±6* | api $0.72/M +local | |||
| 65 | 42±3 | api $1.71/M +local | |||
| 66 | 42±6*† | api $41.25/M | |||
| 67 | 41±3† | api $1.10/M +local | |||
| 68 | 41±10* | api $3.44/M | |||
| 69 | 41±3 | api $1.09/M +local | |||
| 70 | 41±2 | api $1.69/M | |||
| 71 | 41±3† | api $0.84/M +local | |||
| 72 | 40±3* | api $1.56/M | |||
| 73 | 40±6* | api $0.17/M | |||
| 74 | 39±3† | api $0.35/M +local | |||
| 75 | 39±3† | comparison only | |||
| 76 | 38±3 | api $0.19/M +local | |||
| 77 | 38±5* | api $0.53/M +local | |||
| 78 | 38±2† | api $1.00/M +local | |||
| 79 | 38±6*† | api $0.46/M | |||
| 80 | 37±4* | local | |||
| 81 | 37±10* | comparison only | |||
| 82 | 34±4*† | api $1.35/M +local | |||
| 83 | 34±4* | api $0.31/M +local | |||
| 84 | 33±6*† | api $0.69/M | |||
| 85 | 31±3† | api $1.00/M +local | |||
| 86 | 31±5* | api $0.56/M | |||
| 87 | 30±5* | local | |||
| 88 | 23±8*† | api $0.14/M +local | |||
| 89 | 21±4*† | api $1.00/M +local | |||
| 90 | 20±6*† | api $2.00/M | |||
| 91 | 19±6*† | api $0.42/M +local | |||
| 92 | 17±7*† | comparison only | |||
| — | not yet calibrated | api $0.91/M +local | |||
| — | not yet calibrated | api $0.42/M +local | |||
| — | not yet calibrated | local | |||
| — | not yet calibrated | api $0.11/M +local | |||
| — | not yet calibrated | api $1.63/M +local | |||
| — | not yet calibrated | api $0.26/M +local | |||
| — | not yet calibrated | local | |||
| — | not yet calibrated | api $0.050/M +local | |||
| — | not yet calibrated | local | |||
| — | not scored yet | api $0.0000/M +local | |||
| — | not yet calibrated | api $0.26/M +local | |||
| — | not yet calibrated | api $0.13/M +local | |||
| — | not yet calibrated | api $0.052/M +local | |||
| — | not yet calibrated | api $0.23/M +local | |||
| — | not yet calibrated | local | |||
| — | not yet calibrated | api $1.25/M +local | |||
| — | not yet calibrated | api $1.73/M +local | |||
| — | not yet calibrated | api $0.64/M +local | |||
| — | not scored yet | local | |||
| — | not yet calibrated | api $1.07/M +local | |||
| — | not yet calibrated | api $1.20/M +local | |||
| — | not yet calibrated | local | |||
| — | not yet calibrated | local | |||
| — | not yet calibrated | local | |||
| — | not yet calibrated | api $0.65/M +local | |||
| — | not yet calibrated | local | |||
| — | not yet calibrated | local | |||
| — | not scored yet | api $0.087/M +local | |||
| — | not yet calibrated | local | |||
| — | not scored yet | api $0.28/M +local | |||
| — | not yet calibrated | local | |||
| — | not yet calibrated | local | |||
| — | not yet calibrated | local | |||
| — | not yet calibrated | local | |||
| — | not yet calibrated | api $0.11/M +local | |||
| — | not yet calibrated | local | |||
| — | not yet calibrated | local | |||
| — | not yet calibrated | api $0.15/M +local |
+ 4 models with fewer than 3 results left off, since one or two tests say little about overall ability · show them
Includes 15 comparison-only models with no verified API or download · hide them
130 of 135 catalogue models listed here · sources and licences
Models outside this leaderboard (1 models)
No current run option verified: MiMo-V2-Pro
* new or thinly tested: ranked on too few benchmark results · † only the maker’s own numbers so far · ~RAM is estimated; full context may need more memory