Live49 models · 26 open source · avg 36.5
🇺🇸United StatesWebsite
49
Total Models
tracked on BenchGecko
26
Open Source
53% of models
$0.03
Cheapest Model
per 1M input tokens
36.5
Avg Benchmark
across 29 scored models
Model Categories
LLM24Multimodal22Image Gen3
Pricing Range — $/1M input tokens
$0.03
$0.04
$0.04
$0.06
$0.06
$0.07
$0.08
$0.10
$0.10
$0.10
$0.13
$0.25
$0.30
$0.30
$0.50
$0.50
$0.65
$1.25
$1.25
$1.25
$2.00
$2.00
$2.00
Low: $0.03Median: $0.25High: $2.00
Open Source Ratio
53%
26 open source23 proprietary
All Google Models49 total
| #▲ | Model | Avg | aider edit | aider poly? | ANLI? | APEX-Agents? | ARC AI2? | ARC-AGI? | ARC-AGI-2? | aa agentic? | aa coding ? | aa quality | seal audio | seal audio | seal audio | Balrog? | BBH? | hf bbh | C-Eval | CadEval? | charxiv re? | charxiv re? | arena elo | arena elo | chess puzz? | CMMLU | CSQA2 | Cybench? | deepresear? | EnigmaEval | fiction li? | Fortress | frontierma? | frontierma? | GeoBench? | GPQA | GPQA diamond? | graphwalks? | GSM8K? | GSO-Bench? | HellaSwag? | HELM · GPQA | helm ifeva | helm mmlu | helm omni | helm wildb | HLE? | hle tools | seal human | seal human | IFEval | jp jcommon | JHumanEval | JMMLU | JNLI | JSQuAD | LAMBADA? | lech mazur? | livebench | livebench | livebench | livebench | livebench | livebench | livebench | livebench | jp overall | MASK | MATH level 5? | MATH Level 5 | MCP Atlas | MMLU? | MMLU-PRO | MMMLU | mmmlu ar | mmmlu bn | mmmlu zh | mmmlu fr | mmmlu de | mmmlu hi | mmmlu id | mmmlu it | mmmlu ja | mmmlu ko | mmmlu pt | mmmlu es | mmmlu sw | mmmlu yo | seal multi | MultiNRC | MUSR | OpenBookQA? | oc aime202 | oc gpqa di | oc hle | oc ifeval | oc livecod | oc mmlu pr | OSWorld? | otis mock ? | PIQA? | posttrainb | seal pro r | seal pro r | seal prope | seal remot | ScienceQA? | SciPredict | SimpleBench? | simpleqa v? | seal swe a | seal swe a | swe bench | swe bench | swe bench | seal swe b | seal swe b | swe bench ? | swe bench ? | terminal b? | the agent ? | TriviaQA? | TutorBench | USAMO | VideoMME? | VISTA | seal visua | VPCT? | WeirdML? | Winogrande? | $/1M in | Context | Released |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 90.0 | - | - | - | 33.5 | - | 98.0 | 77.1 | 59.1 | 55.5 | 57.2 | - | - | - | - | - | - | - | - | - | - | 1455.7 | 1492.6 | 55.0 | - | - | - | - | 19.8 | - | - | 36.9 | 16.7 | - | - | 92.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 71.4 | 64.7 | - | - | - | - | - | - | - | - | - | 95.6 | - | 21.6 | - | - | - | - | - | - | 75.5 | 77.3 | - | - | - | - | - | - | - | 75.6 | - | 78.4 | - | - | - | - | - | - | 29.0 | - | 72.1 | - | $2.00 | 1.0M | Feb 262mo ago | |
| 2 | 76.4 | - | - | - | 18.4 | - | 75.0 | 31.1 | 45.0 | 39.4 | 41.3 | - | - | - | - | - | - | - | - | - | - | 1437.6 | 1486.2 | 31.0 | - | - | - | - | - | - | - | 37.6 | 18.8 | 84.0 | - | 90.2 | - | - | 18.6 | - | 80.3 | 87.6 | 90.3 | 55.6 | 85.9 | 34.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 91.4 | - | 18.1 | - | - | - | - | - | - | 71.7 | 72.9 | - | - | - | - | - | - | - | 72.9 | - | 69.4 | - | - | - | - | - | - | - | 86.5 | 69.9 | - | N/A | - | Jan 242y ago | |
| 3 | 73.5 | - | 83.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 10.1 | - | - | - | - | - | - | 55.6 | - | - | 54.6 | - | - | - | - | $1.25 | 1.0M | Jun 2511mo ago | |
| 4 | 68.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 40.0 | 60.3 | 58.8 | 67.6 | 71.3 | 73.9 | 61.6 | 59.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.13 | 262K | Apr 261mo ago | |
| 5 | 67.2 | - | 83.1 | - | - | - | 41.0 | 4.9 | 32.7 | 31.9 | 34.6 | 46.9 | - | 46.9 | 43.3 | - | - | - | 64.0 | - | - | 1202.0 | 1448.2 | 20.0 | - | - | - | 49.7 | - | 91.7 | - | 14.1 | 4.2 | 81.0 | - | 80.4 | - | - | 3.9 | - | 74.9 | 84.0 | 86.3 | 41.6 | 85.7 | 17.7 | - | - | - | - | - | - | - | - | - | - | 86.0 | - | - | - | - | - | - | - | - | - | - | 95.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 88.7 | 84.7 | 21.1 | 90.0 | 71.3 | 85.8 | - | 84.7 | - | - | - | - | - | - | - | - | 54.9 | 56.0 | - | - | - | - | - | - | - | 57.6 | - | 32.6 | 30.3 | - | - | - | - | - | - | 19.6 | 54.0 | - | $1.25 | 1.0M | Jun 2511mo ago | |
| 6 | 59.1 | - | - | - | 24.0 | - | 21.5 | 33.6 | 49.7 | 42.6 | 46.4 | - | - | - | 48.1 | - | - | - | - | - | - | 1436.4 | 1473.9 | 38.0 | - | - | - | - | - | - | - | 35.6 | 4.2 | 88.0 | - | 77.6 | - | - | 9.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 57.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 92.8 | - | - | - | - | - | - | - | 22.2 | 53.3 | 67.4 | - | - | - | - | - | - | - | 75.4 | - | 64.3 | - | - | - | - | - | - | - | 58.9 | 61.6 | - | $0.50 | 1.0M | Dec 254mo ago | |
| 7 | 51.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 49.3 | - | - | - | - | - | 1287.6 | - | - | - | - | - | - | - | - | - | - | - | 16.7 | 15.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | 79.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 27.9 | 23.9 | - | 67.6 | 38.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 9.1 | - | - | - | - | - | - | - | - | 1.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.65 | 8K | Jul 241y ago | |
| 8 | 50.6 | - | 35.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 41.7 | - | - | - | - | - | 54.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 83.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | N/A | - | Jan 242y ago | |
| 9 | 50.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 42.1 | - | - | - | - | - | 1265.0 | - | - | - | - | - | - | - | - | - | - | - | 14.8 | 3.3 | - | 84.9 | - | - | - | - | - | - | - | - | - | - | - | 74.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 21.0 | 19.5 | - | 62.8 | 31.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 9.7 | - | - | - | - | - | - | - | - | 0.5 | 67.4 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.03 | 8K | Jun 241y ago | |
| 10 | 45.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 50.0 | 82.4 | 72.0 | 37.4 | 79.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.07 | 1.0M | Feb 251y ago | |
| 11 | 44.7 | - | 38.2 | - | - | - | - | 1.3 | - | - | - | - | - | - | - | - | - | - | 30.0 | - | - | - | 1360.0 | - | - | - | - | - | - | 61.1 | - | 1.7 | - | 77.0 | - | 52.2 | - | - | - | - | 55.6 | 84.1 | 73.7 | 45.9 | 80.0 | - | - | - | - | - | - | - | - | - | - | - | 71.5 | - | - | - | - | - | - | - | - | - | - | 82.2 | - | - | 72.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 31.0 | - | - | - | - | - | - | - | - | 17.3 | - | - | - | - | - | - | - | - | - | - | - | 11.4 | - | - | - | - | - | - | - | 25.8 | - | $0.10 | 1.0M | Feb 251y ago | |
| 12 | 43.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 18.0 | - | - | - | - | - | 1198.5 | - | - | - | - | - | - | - | - | - | - | - | 3.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 56.7 | 78.2 | - | 38.4 | 57.1 | 83.8 | - | - | - | - | - | - | - | - | - | - | 40.5 | - | - | 0.1 | - | - | 17.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 7.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | N/A | - | Jul 241y ago | |
| 13 | 43.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | 14.6 | - | - | - | - | - | - | - | 1285.1 | - | - | - | - | - | - | - | - | 0.1 | - | 76.0 | - | 20.5 | - | 82.4 | - | - | 43.7 | 83.1 | 67.8 | 30.5 | 79.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 25.1 | - | - | 70.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 3.8 | 75.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 60.4 | - | - | - | 24.9 | - | N/A | - | Jan 242y ago | |
| 14 | 41.4 | 57.1 | - | - | - | - | - | 0.8 | - | - | - | - | - | - | 21.0 | 78.7 | - | - | 34.0 | - | - | - | 1322.5 | - | - | - | 7.5 | - | - | - | - | - | - | - | - | 27.8 | - | - | - | - | 53.4 | 83.7 | 73.7 | 36.4 | 81.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 40.8 | - | - | 76.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 6.7 | - | - | - | - | - | - | - | - | 12.5 | - | - | - | - | - | - | - | - | - | - | - | 3.4 | - | - | - | 66.7 | - | - | - | 22.2 | - | N/A | - | Jan 242y ago | |
| 15 | 38.1 | - | 47.1 | - | - | - | 32.3 | 2.5 | - | - | - | 40.0 | - | 40.0 | 33.5 | - | - | - | - | - | - | - | 1411.0 | - | - | - | - | 29.2 | - | 47.2 | - | 4.8 | 4.2 | 73.0 | - | - | - | - | - | - | 39.0 | 89.8 | 63.9 | 38.4 | 81.7 | 7.7 | - | - | - | - | - | - | - | - | - | - | 76.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 73.0 | - | - | - | - | - | - | - | - | 29.4 | - | - | - | - | - | - | - | - | - | - | 17.1 | 41.1 | - | - | - | - | - | - | 7.0 | 41.0 | - | $0.30 | 1.0M | Jun 2511mo ago | |
| 16 | 35.0 | - | 4.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 33.3 | - | - | - | 52.0 | - | 31.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 79.9 | - | - | - | - | - | - | - | - | - | - | 74.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 19.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Free | 131K | Mar 251y ago | |
| 17 | 33.2 | - | - | - | - | - | - | - | 11.7 | 18.1 | 21.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 30.9 | 81.0 | 53.7 | 48.0 | 81.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.10 | 1.0M | Jul 259mo ago | |
| 18 | 32.9 | - | 18.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 52.8 | - | - | - | - | - | 42.8 | - | - | - | - | - | - | - | - | - | 1.9 | - | - | - | - | - | - | - | - | - | - | 73.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 57.7 | - | - | - | - | - | - | - | - | 16.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | N/A | - | Jan 242y ago | |
| 19 | 30.8 | - | - | 23.1 | - | 22.8 | - | - | - | - | - | - | - | - | - | 13.6 | 21.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 4.9 | - | - | 17.7 | - | 61.9 | - | - | - | - | - | - | - | - | - | 26.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 7.4 | - | 23.1 | 21.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 11.0 | 71.5 | - | - | - | - | - | - | - | - | 54.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 53.2 | - | - | - | - | - | - | - | 30.8 | N/A | - | Jan 242y ago | |
| 20 | 25.1 | - | 4.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1365.1 | - | - | - | - | - | - | 33.3 | - | - | - | 52.0 | - | 31.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 79.9 | - | - | - | - | - | - | - | - | - | - | 74.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 22.4 | 46.3 | 4.2 | 81.0 | 30.8 | 67.8 | - | 19.6 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | $0.08 | 131K | Mar 251y ago | |
| 21 | 23.1 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 11.9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 11.2 | - | - | 60.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | N/A | - | Jan 242y ago | |
| 22 | 18.8 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 12.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 1.7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 20.2 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 3.0 | - | - | 13.5 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 11.3 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | N/A | - | Jul 241y ago |
90+ Gold 80-89 70-79 60-69 <60Scores in % unless noted. Avg = unweighted mean across tested benchmarks.
About Google
Quick answers · sourced from our data
How many models does Google have?
BenchGecko tracks 49 models from Google, of which 26 (53%) are open source. Every entry is updated daily from live provider feeds.
What is the best model from Google?
Gemini 2.5 Pro Preview 05-06 is currently the highest scoring Google model we track, with an average benchmark score of 76.9. Scores are computed across every public benchmark we have data for.
What is the cheapest Google model?
The cheapest Google model on BenchGecko starts at $0.03 per 1M input tokens. Pricing is pulled from OpenRouter and cross-checked against official provider rate cards.
How does Google compare on benchmarks?
Google models average 36.5 across the benchmarks we track · see the All Providers page for the full ranking by model count, open source ratio, and average score.
Where is Google based?
Google is headquartered in United States. BenchGecko groups providers by region to make it easy to compare US, EU, China, and Rest of World markets.
Is Google open source?
26 of 49 Google models are open source (53%). The rest are proprietary · closed weights served via API.