Provider, United States
Google models
Google's highest-ranked model is Gemini 3.8 Flash, #11 on the Noometry Index as of October 2026. Noometry tracks 43 Google models, 14 with open weights.
Last verified
43 models
| 11 |  Google Gemini 3.8 Flash | Proprietary | 1.05M | 61.8 | $0.75 | $3.75 | 41.2 | — | |
| 14 | Google Gemini 3.7 Flash | Proprietary | 1.05M | 59.8 | $0.75 | $3.75 | 39.9 | — | |
| 23 | Google Gemini 3.1 Pro Preview | Proprietary | 1.05M | 56.7 | $2 | $12 | 12.6 | — | |
| 24 | Google Gemini 4 Argon | Proprietary | — | 56.5 | — | — | — | — | |
| 28 | Google Gemini 3 Pro | Proprietary | — | 54.8 | — | — | — | 1 | |
| 32 | Google Gemini 3.5 Flash | Proprietary | 1.05M | 54.2 | $1.50 | $9 | 16.1 | — | |
| 33 | Google Gemini 3.6 Flash | Proprietary | 1.05M | 54.1 | $0.75 | $3.75 | 36.1 | — | |
| 40 | Google Gemini 3 Flash Preview | Proprietary | 1.05M | 52.3 | $0.50 | $3 | 46.5 | — | |
| 75 | Google Gemini 2.5 Pro | Proprietary | 1.05M | 45.0 | $1.25 | $10 | 13.1 | 5 | |
| 90 | Google Gemma 4 31B IT | Open | 262K | 43.5 | $0.09 | $0.34 | 286 | 3 | |
| 92 | Google Gemma 4 26B A4B IT | Open | 262K | 43.5 | $0.0675 | $0.23 | 407 | — | |
| 133 | Google Gemini 3.5 Flash Lite | Proprietary | 1.05M | 41.5 | $0.30 | $2.50 | 48.8 | — | |
| 144 | Google Gemini 3.1 Flash Lite | Proprietary | 1.05M | 40.8 | $0.25 | $1.50 | 72.5 | 10 | |
| 170 | Google Gemini 2.5 Flash | Proprietary | 1.05M | 39.3 | $0.30 | $2.50 | 46.2 | 152 | |
| 173 | Google Gemini 2.0 Pro | Proprietary | — | 39.1 | — | — | — | — | |
| 194 | Google Gemini 2.0 Flash-Lite | Proprietary | — | 37.8 | — | — | — | — | |
| 197 | Google Gemini Advanced 0514 | Proprietary | — | 37.7 | — | — | — | — | |
| 206 | Google Gemma 3n E4b IT | Open | — | 37.3 | — | — | — | 13 | |
| 211 | Google Gemini 2.5 Flash-Lite | Proprietary | 1.05M | 37.0 | $0.10 | $0.40 | 211 | 172 | |
| 228 | Google Gemini 2.0 Flash (Feb 2025) | Proprietary | — | 35.1 | — | — | — | 92 | |
| 246 | Google Gemini 1.5 Flash (May 2024) | Proprietary | — | 33.2 | — | — | — | — | |
| 248 | Google Gemma 2 2b IT | Open | — | 33.1 | — | — | — | — | |
| 261 | Google Gemini 1.5 Pro (May 2024) | Proprietary | — | 32.1 | — | — | — | — | |
| 262 | Google Gemma 3 12B | Open | 131K | 32.1 | $0.05 | $0.15 | 428 | — | |
| 277 | Google Gemma 1.1 7b IT | Open | — | 31.3 | — | — | — | — | |
| 284 | Google Gemma 3 27B | Open | 131K | 30.8 | $0.08 | $0.16 | 308 | 62 | |
| 298 | Google Palm 2 | Proprietary | — | 30.0 | — | — | — | — | |
| 299 | Google Gemma 7B | Open | — | 30.0 | — | — | — | — | |
| 301 | Google Gemini 1.5 Flash 8B | Proprietary | — | 29.9 | — | — | — | — | |
| 307 | Google Gemma 2B | Open | — | 29.6 | — | — | — | — | |
| 312 | Google Gemma 2 27B | Open | 8K | 29.4 | $0.65 | $0.65 | 45.2 | — | |
| 313 | Google Gemma 1.1 2b IT | Open | — | 29.3 | — | — | — | — | |
| 326 | Google Gemma 3 4B | Open | 131K | 28.1 | $0.04 | $0.08 | 563 | 72 | |
| 332 | Google Gemini 1.0 Pro | Proprietary | — | 27.3 | — | — | — | — | |
| 341 | Google Gemma 2 9B | Open | — | 25.9 | — | — | — | — | |
| 353 | Google Gemma 3 1B | Open | — | 21.1 | — | — | — | — | |
| Google AI Co-Mathematician | Proprietary | — | Not ranked | — | — | — | — | ||
| Google Gemini 1.0 Pro Vision | Proprietary | — | Not ranked | — | — | — | — | ||
| Google Gemini 2.5 Deep Think | Proprietary | — | Not ranked | — | — | — | — | ||
| Google Gemini 3.1 Pro Preview Custom Tools | Proprietary | 1.05M | Not ranked | $2 | $12 | — | — | ||
| Google Gemini 3 Deep Think | Proprietary | — | Not ranked | — | — | — | — | ||
| Google Gemini Robotics-ER 1.6 | Proprietary | — | Not ranked | — | — | — | — | ||
| Google Nano Banana 2.1 | Proprietary | 131K | Not ranked | $1.50 | $7.50 | — | — |
Google's best vs other flagships
Frequently asked questions
What is the best Google model?
Google's highest-ranked model is Gemini 3.8 Flash, #11 on the Noometry Index as of October 2026. Noometry tracks 43 Google models, 14 with open weights.
What is the cheapest Google model?
Gemma 3 4B has the lowest input price among Google models we track: $0.04 per million input tokens and $0.08 per million output tokens.