Google Models

87 modelsGeneral models free to startUp to 1.05M context

Usage

Last 30 days · 2026-09-03 to 2026-10-02

Tokens

66.1B

Requests

11.6M

Models in use

66 of 87

Tokens per day, stacked by model

01.9B3.9B09-0309-1009-1709-2410-012026-09-03 — 1,911,575,575 tokens gemini-3.7-flash: 298,231,144 38 more models: 271,208,907 gemini-3.8-flash: 264,209,767 gemini-3.1-flash-lite: 250,279,869 gemini-3.1-pro-preview: 234,103,358 gemini-3-flash-preview: 233,437,992 gemini-2.5-flash-lite: 205,214,184 gemini-3.5-flash: 80,403,062 gemini-2.5-flash-nothink: 74,487,2922026-09-04 — 1,872,743,579 tokens gemini-3.8-flash: 317,221,853 38 more models: 303,873,530 gemini-3.7-flash: 292,046,737 gemini-3-flash-preview: 262,498,583 gemini-2.5-flash-lite: 209,678,360 gemini-3.1-flash-lite: 185,659,412 gemini-3.1-pro-preview: 178,959,969 gemini-3.5-flash: 76,760,159 gemini-2.5-flash-nothink: 46,044,9762026-09-05 — 1,332,365,873 tokens gemini-3.8-flash: 460,869,326 gemini-2.5-flash-lite: 218,456,376 38 more models: 146,680,228 gemini-3.7-flash: 117,829,199 gemini-3.1-flash-lite: 95,819,818 gemini-3-flash-preview: 92,837,331 gemini-3.1-pro-preview: 87,201,976 gemini-3.5-flash: 58,420,213 gemini-2.5-flash-nothink: 54,251,4062026-09-06 — 1,409,911,169 tokens gemini-3.8-flash: 399,038,762 gemini-3.7-flash: 330,490,830 gemini-2.5-flash-lite: 193,194,633 38 more models: 171,746,277 gemini-3.1-pro-preview: 106,421,736 gemini-3.1-flash-lite: 70,122,313 gemini-3-flash-preview: 69,869,222 gemini-2.5-flash-nothink: 45,293,590 gemini-3.5-flash: 23,733,8062026-09-07 — 2,437,183,724 tokens gemini-3.8-flash: 662,594,337 gemini-3.7-flash: 441,947,045 38 more models: 358,375,848 gemini-3.1-pro-preview: 253,988,637 gemini-3-flash-preview: 250,572,613 gemini-2.5-flash-lite: 227,357,150 gemini-3.1-flash-lite: 134,783,634 gemini-2.5-flash-nothink: 65,617,231 gemini-3.5-flash: 41,947,2292026-09-08 — 2,194,657,308 tokens gemini-3.8-flash: 610,983,018 gemini-3.1-pro-preview: 346,639,489 gemini-3.7-flash: 247,834,372 38 more models: 246,816,106 gemini-2.5-flash-lite: 230,981,592 gemini-3-flash-preview: 230,617,981 gemini-3.1-flash-lite: 121,639,167 gemini-2.5-flash-nothink: 107,328,075 gemini-3.5-flash: 51,817,5082026-09-09 — 1,998,026,217 tokens gemini-3.8-flash: 503,763,067 gemini-3.7-flash: 285,053,743 gemini-3-flash-preview: 249,371,641 gemini-2.5-flash-lite: 245,181,461 38 more models: 237,674,357 gemini-3.1-pro-preview: 211,161,351 gemini-3.1-flash-lite: 118,601,250 gemini-2.5-flash-nothink: 95,666,293 gemini-3.5-flash: 51,553,0542026-09-10 — 2,262,335,323 tokens gemini-3.8-flash: 680,240,314 gemini-3.7-flash: 377,890,149 gemini-2.5-flash-lite: 282,023,746 gemini-3.1-pro-preview: 234,564,542 38 more models: 228,331,272 gemini-3-flash-preview: 158,516,688 gemini-3.1-flash-lite: 130,024,412 gemini-2.5-flash-nothink: 124,604,320 gemini-3.5-flash: 46,139,8802026-09-11 — 1,609,421,750 tokens gemini-3.8-flash: 326,962,630 38 more models: 279,311,748 gemini-3.1-pro-preview: 240,473,971 gemini-2.5-flash-lite: 191,588,127 gemini-3.7-flash: 160,065,198 gemini-3.1-flash-lite: 143,113,888 gemini-3-flash-preview: 126,805,948 gemini-2.5-flash-nothink: 100,019,822 gemini-3.5-flash: 41,080,4182026-09-12 — 1,418,807,135 tokens gemini-3.8-flash: 363,816,851 38 more models: 246,299,671 gemini-3-flash-preview: 175,553,575 gemini-2.5-flash-lite: 166,970,925 gemini-3.1-pro-preview: 158,415,724 gemini-3.1-flash-lite: 128,458,591 gemini-3.7-flash: 88,772,760 gemini-2.5-flash-nothink: 66,989,424 gemini-3.5-flash: 23,529,6142026-09-13 — 1,973,762,338 tokens gemini-3.8-flash: 748,327,155 gemini-3.7-flash: 422,788,930 gemini-2.5-flash-lite: 203,529,170 38 more models: 177,164,872 gemini-3.1-pro-preview: 169,464,323 gemini-3.1-flash-lite: 95,438,536 gemini-3-flash-preview: 68,680,992 gemini-2.5-flash-nothink: 61,082,765 gemini-3.5-flash: 27,285,5952026-09-14 — 3,777,761,510 tokens gemini-3.8-flash: 2,325,402,097 gemini-3.7-flash: 403,613,144 38 more models: 260,524,846 gemini-2.5-flash-lite: 186,438,951 gemini-3.1-pro-preview: 172,266,286 gemini-3-flash-preview: 164,977,681 gemini-3.1-flash-lite: 138,114,673 gemini-2.5-flash-nothink: 77,162,358 gemini-3.5-flash: 49,261,4742026-09-15 — 2,315,816,585 tokens gemini-3.8-flash: 949,279,654 gemini-3.7-flash: 268,885,352 38 more models: 261,727,865 gemini-2.5-flash-lite: 208,890,583 gemini-3-flash-preview: 187,868,561 gemini-3.1-pro-preview: 177,392,733 gemini-3.1-flash-lite: 121,299,331 gemini-3.5-flash: 72,971,820 gemini-2.5-flash-nothink: 67,500,6862026-09-16 — 3,089,465,052 tokens gemini-3.8-flash: 1,691,054,947 gemini-3.7-flash: 327,479,691 gemini-2.5-flash-lite: 223,463,595 gemini-3-flash-preview: 218,652,887 38 more models: 207,698,344 gemini-3.1-pro-preview: 186,553,839 gemini-3.1-flash-lite: 104,407,997 gemini-2.5-flash-nothink: 81,084,546 gemini-3.5-flash: 49,069,2062026-09-17 — 3,047,422,515 tokens gemini-3.8-flash: 1,537,344,670 gemini-3.7-flash: 283,448,653 38 more models: 281,283,877 gemini-3-flash-preview: 246,715,839 gemini-2.5-flash-lite: 214,278,700 gemini-3.1-pro-preview: 206,104,683 gemini-3.1-flash-lite: 105,946,947 gemini-3.5-flash: 102,031,396 gemini-2.5-flash-nothink: 70,267,7502026-09-18 — 3,876,017,871 tokens gemini-3.8-flash: 2,428,614,771 38 more models: 269,547,535 gemini-3.7-flash: 263,924,197 gemini-2.5-flash-lite: 263,917,633 gemini-3.1-pro-preview: 204,419,113 gemini-3-flash-preview: 155,930,939 gemini-3.1-flash-lite: 112,858,106 gemini-3.5-flash: 108,656,342 gemini-2.5-flash-nothink: 68,149,2352026-09-19 — 2,560,943,549 tokens gemini-3.8-flash: 1,320,134,615 gemini-3.7-flash: 585,030,901 gemini-2.5-flash-lite: 162,087,384 38 more models: 158,886,401 gemini-3.1-flash-lite: 83,052,196 gemini-3.1-pro-preview: 74,391,895 gemini-3.5-flash: 62,489,208 gemini-2.5-flash-nothink: 59,469,210 gemini-3-flash-preview: 55,401,7392026-09-20 — 3,179,065,719 tokens gemini-3.8-flash: 1,715,715,140 gemini-3.7-flash: 465,194,912 38 more models: 232,831,490 gemini-2.5-flash-lite: 215,699,441 gemini-3.5-flash: 152,828,599 gemini-3.1-flash-lite: 118,333,886 gemini-3.1-pro-preview: 116,856,175 gemini-3-flash-preview: 110,571,026 gemini-2.5-flash-nothink: 51,035,0502026-09-21 — 3,626,085,791 tokens gemini-3.8-flash: 2,162,619,359 38 more models: 409,460,781 gemini-3.7-flash: 232,815,715 gemini-2.5-flash-lite: 208,607,975 gemini-3.1-flash-lite: 159,143,727 gemini-3.1-pro-preview: 150,047,071 gemini-3-flash-preview: 149,286,435 gemini-3.5-flash: 96,938,834 gemini-2.5-flash-nothink: 57,165,8942026-09-22 — 2,760,039,713 tokens gemini-3.8-flash: 1,433,949,752 38 more models: 327,328,044 gemini-3.7-flash: 233,503,184 gemini-3.1-pro-preview: 172,614,796 gemini-2.5-flash-lite: 153,654,003 gemini-3-flash-preview: 142,736,835 gemini-3.1-flash-lite: 137,586,932 gemini-3.5-flash: 85,190,782 gemini-2.5-flash-nothink: 73,475,3852026-09-23 — 2,434,345,688 tokens gemini-3.8-flash: 1,190,233,908 38 more models: 301,056,827 gemini-3.1-pro-preview: 241,773,688 gemini-3-flash-preview: 168,037,037 gemini-2.5-flash-lite: 166,250,127 gemini-3.1-flash-lite: 153,371,235 gemini-2.5-flash-nothink: 83,010,532 gemini-3.7-flash: 80,938,996 gemini-3.5-flash: 49,673,3382026-09-24 — 2,868,043,080 tokens gemini-3.8-flash: 1,320,130,522 38 more models: 427,990,217 gemini-3-flash-preview: 328,319,084 gemini-3.1-pro-preview: 219,791,991 gemini-2.5-flash-lite: 170,060,704 gemini-3.1-flash-lite: 158,022,303 gemini-3.7-flash: 108,961,120 gemini-3.5-flash: 69,681,070 gemini-2.5-flash-nothink: 65,086,0692026-09-25 — 1,797,622,137 tokens gemini-3.8-flash: 738,195,083 gemini-3-flash-preview: 209,320,619 gemini-3.1-pro-preview: 169,838,844 gemini-3.7-flash: 161,062,626 gemini-3.1-flash-lite: 156,158,785 gemini-2.5-flash-lite: 151,105,535 38 more models: 114,975,171 gemini-2.5-flash-nothink: 68,445,272 gemini-3.5-flash: 28,520,2022026-09-26 — 1,202,151,363 tokens gemini-3.8-flash: 467,989,687 38 more models: 163,831,227 gemini-3.7-flash: 161,570,052 gemini-3.1-flash-lite: 102,159,685 gemini-2.5-flash-lite: 85,639,889 gemini-3-flash-preview: 74,256,476 gemini-2.5-flash-nothink: 67,241,356 gemini-3.1-pro-preview: 51,663,391 gemini-3.5-flash: 27,799,6002026-09-27 — 1,006,920,218 tokens gemini-3.8-flash: 385,659,999 38 more models: 124,894,697 gemini-2.5-flash-lite: 113,971,093 gemini-3.1-flash-lite: 98,058,437 gemini-3.7-flash: 76,051,457 gemini-3.5-flash: 65,022,314 gemini-3.1-pro-preview: 55,249,666 gemini-2.5-flash-nothink: 45,512,285 gemini-3-flash-preview: 42,500,2702026-09-28 — 1,991,395,408 tokens gemini-3.8-flash: 775,894,782 38 more models: 362,498,180 gemini-3-flash-preview: 228,323,822 gemini-3.1-pro-preview: 160,165,581 gemini-3.1-flash-lite: 132,833,917 gemini-2.5-flash-lite: 106,963,123 gemini-3.7-flash: 102,440,380 gemini-2.5-flash-nothink: 64,482,905 gemini-3.5-flash: 57,792,7182026-09-29 — 1,745,583,623 tokens gemini-3.8-flash: 583,985,032 38 more models: 334,384,090 gemini-3-flash-preview: 179,625,302 gemini-3.1-pro-preview: 148,727,495 gemini-2.5-flash-lite: 142,533,977 gemini-3.1-flash-lite: 110,493,360 gemini-3.7-flash: 100,198,987 gemini-3.5-flash: 79,562,980 gemini-2.5-flash-nothink: 66,072,4002026-09-30 — 1,749,220,602 tokens gemini-3.8-flash: 656,339,242 38 more models: 216,188,500 gemini-3.7-flash: 201,833,378 gemini-3.1-pro-preview: 157,787,230 gemini-2.5-flash-lite: 151,133,236 gemini-3-flash-preview: 131,794,888 gemini-3.1-flash-lite: 130,294,106 gemini-2.5-flash-nothink: 70,609,651 gemini-3.5-flash: 33,240,3712026-10-01 — 1,557,643,658 tokens gemini-3.8-flash: 733,874,320 38 more models: 165,937,982 gemini-2.5-flash-lite: 143,138,408 gemini-3.7-flash: 138,706,674 gemini-3.1-pro-preview: 109,367,040 gemini-3-flash-preview: 87,923,650 gemini-3.1-flash-lite: 69,014,906 gemini-2.5-flash-nothink: 68,691,938 gemini-3.5-flash: 40,988,7402026-10-02 — 1,120,035,319 tokens gemini-3.8-flash: 349,753,865 38 more models: 201,532,984 gemini-2.5-flash-lite: 149,046,851 gemini-3-flash-preview: 113,766,828 gemini-3.1-flash-lite: 74,970,256 gemini-3.1-pro-preview: 74,402,904 gemini-3.7-flash: 72,683,159 gemini-2.5-flash-nothink: 60,062,171 gemini-3.5-flash: 23,816,301
  • gemini-3.8-flash
  • gemini-3.7-flash
  • gemini-2.5-flash-lite
  • gemini-3.1-pro-preview
  • gemini-3-flash-preview
  • gemini-3.1-flash-lite
  • gemini-2.5-flash-nothink
  • gemini-3.5-flash
  • 38 more models

Which models that traffic went to

  1. Gemini 3.8 Flash42.5%28.1B
  2. Gemini 3.7 Flash11.1%7.3B
  3. Gemini 2.5 Flash Lite8.5%5.6B
  4. Gemini 3.1 Pro Preview7.7%5.1B
  5. Gemini 3 Flash Preview7.4%4.9B
  6. Gemini 3.1 Flash Lite5.7%3.7B
  7. gemini-2.5-flash-nothink3.2%2.1B
  8. Gemini 3.5 Flash2.7%1.8B
  9. 38 more models11.3%7.5B

Share of 66.1B tokens. 20 models with traffic report no token counts and cannot be ranked here, including gemini-3.1-flash-image-preview and gemini-3-pro-image-preview — they are in the request view.

The two views disagree on purpose: a model can take a large share of the calls and a small share of the tokens — many short requests — or the reverse. Which one matters depends on whether your cost is driven by call volume or by prompt length. Measured on AIHubMix over the last 30 days, counting the 87 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 87 Google Models

Open in model list
Google models on AIHubMix with input and output modalities, context length, maximum output, price per million tokens including cache read and cache write rates, and measured throughput and latency.
Modalities
gemini-3-flash-preview-freeTakes text, vision, audio, video, PDF, returns text.1.05M66KFreeFree/M—54 tok/s11.13 s
gemini-3.5-flash-lite-freeTakes text, vision, audio, video, PDF, returns text.1.05M66KFreeFree/M—58 tok/s4.01 s
gemini-3.6-flash-freeTakes text, vision, audio, video, PDF, returns text.1.05M66KFreeFree/M—77 tok/s16.99 s
gemini-3.7-flash-freeTakes text, vision, audio, video, PDF, returns text.1.05M66KFreeFree/M—74 tok/s6.65 s
gemini-3.8-flash-freeTakes text, vision, audio, video, PDF, returns text.1.05M66KFreeFree/M—67 tok/s18.34 s
gemini-2.5-flash-liteTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.1$0.4/M$0.01/M51 tok/s1.61 s
gemini-2.5-flash-lite-nothinkTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.1$0.4/M$0.01/M205 tok/s0.55 s
gemini-2.5-flash-lite-preview-09-2025Takes text, vision, audio, video, PDF, returns text.1.05M66K$0.1$0.4/M$0.01/M148 tok/s0.32 s
gemini-2.5-flash-lite-preview-09-2025-nothinkTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.1$0.4/M$0.01/M205 tok/s0.76 s
gemini-3.1-flash-liteTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.25$1.5/M$0.025/M218 tok/s1.17 s
gemini-3.1-flash-lite-nothinkTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.25$1.5/M$0.025/M93 tok/s0.57 s
gemini-2.5-flashTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.3$2.499/M$0.03/M94 tok/s0.62 s
gemini-2.5-flash-nothinkTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.3$2.499/M$0.03/M55 tok/s0.69 s
gemini-2.5-flash-preview-05-20-nothinkTakes text, vision, audio, video, returns text.1.05M66K$0.3$2.499/M$0.03/M55 tok/s0.69 s
gemini-2.5-flash-preview-05-20-searchTakes text, vision, audio, video, returns text.1.05M66K$0.3$2.499/M$0.03/M55 tok/s0.69 s
gemini-2.5-flash-preview-09-2025Takes text, vision, audio, video, returns text.1.05M66K$0.3$2.499/M$0.03/M144 tok/s0.36 s
gemini-2.5-flash-searchTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.3$2.499/M$0.03/M55 tok/s0.69 s
gemini-3.5-flash-liteTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.3$2.5/M$0.03/M120 tok/s1.52 s
gemini-3-flash-previewTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.5$3/M$0.05/M237 tok/s4.38 s
gemini-3-flash-preview-searchTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.5$3/M$0.05/M186 tok/s1.62 s
gemini-3.7-flashTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.75$3.75/M$0.075/M116 tok/s7.28 s
gemini-3.8-flashTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.75$3.75/M$0.075/M98 tok/s7.28 s
gemini-2.5-proTakes text, vision, audio, video, PDF, returns text.1.05M66K$1.25$10/M$0.125/M101 tok/s3.20 s
gemini-2.5-pro-preview-05-06Takes text, vision, audio, video, PDF, returns text.1.05M66K$1.25$10/M$0.125/M98 tok/s2.34 s
gemini-2.5-pro-preview-06-05Takes text, vision, audio, video, returns text.1.05M66K$1.25$10/M$0.125/M78 tok/s7.99 s
gemini-2.5-pro-searchTakes text, vision, audio, video, PDF, returns text.1.05M66K$1.25$10/M$0.125/M101 tok/s3.20 s
gemini-3.5-flashTakes text, vision, audio, video, PDF, returns text.1.05M66K$1.5$9/M$0.15/M119 tok/s2.82 s
gemini-3.6-flashTakes text, vision, audio, video, PDF, returns text.1.05M66K$1.5$7.5/M$0.15/M129 tok/s2.65 s
gemini-3.1-pro-previewTakes text, vision, audio, video, PDF, returns text.1.05M66K$2$12/M$0.2/M86 tok/s16.92 s
gemini-3.1-pro-preview-customtoolsTakes text, vision, audio, video, PDF, returns text.1.05M66K$2$12/M$0.2/M104 tok/s6.93 s
gemini-3.1-pro-preview-searchTakes text, vision, audio, video, PDF, returns text.1.05M66K$2$12/M$0.2/M94 tok/s6.14 s
gemma-4-26b-a4b-it-freeTakes text, vision, video, returns text.262K—FreeFree/M———
gemma-4-31b-it-freeTakes text, vision, video, returns text.262K—FreeFree/M———
gemma-4-26b-a4b-itTakes text, vision, video, returns text.262K131K$0.14$0.4/M—18 tok/s0.47 s
gemma-4-31b-itTakes text, vision, video, returns text.262K131K$0.14$0.4/M—33 tok/s0.96 s
deepinfra-gemma-4-26b-a4b-itTakes , returns text.262K131K$0.088$0.385/M$0.011/M17 tok/s0.51 s
gemini-3.1-flash-imageTakes text, vision, video, PDF, returns text, vision.131K33KFreeFree/M—55 tok/s3.34 s
gemini-3-pro-imageTakes text, vision, returns text, vision.66K33KFreeFree/M—93 tok/s8.24 s
gemini-3.1-flash-lite-imageTakes text, vision, returns text, vision.66K4KFreeFree/MFree/M34 tok/s1.03 s
gemini-2.5-flash-imageTakes text, vision, returns text, vision.66K33K$0.04$0.04/M$0.004/M18 tok/s0.38 s
gemini-2.5-flash-image-previewTakes text, vision, returns vision.33K8K$0.04$0.04/M—1314 tok/s5.85 s
gemini-2.5-flash-preview-ttsTakes text, returns audio.——FreeFree/M———
gemini-2.5-pro-preview-ttsTakes text, returns audio.——FreeFree/M———
gemini-3-pro-image-previewTakes text, vision, returns text, vision.——FreeFree/M—101 tok/s2.40 s
gemini-3.1-flash-image-previewTakes text, vision, returns text, vision.——FreeFree/M—122 tok/s10.13 s
gemini-3.1-flash-image-preview-freeTakes text, vision, returns vision.——FreeFree/M—205 tok/s1.11 s
imagen-4.0Takes text, vision, returns vision.——FreeFree/M———
imagen-4.0-fast-generate-001Takes text, vision, returns vision.——FreeFree/M———
imagen-4.0-generate-001Takes text, vision, returns vision.——FreeFree/M———
imagen-4.0-ultraTakes text, vision, returns vision.——FreeFree/M———
imagen-4.0-ultra-generate-001Takes text, vision, returns vision.——FreeFree/M———
veo-2.0-generate-001Takes video, returns video.——FreeFree/M———
veo-3.0-generate-previewTakes text, vision, video, returns video.——FreeFree/M———
veo-3.1-fast-generate-previewTakes text, vision, video, returns video.——FreeFree/M———
veo-3.1-generate-previewTakes text, vision, video, returns video.——FreeFree/M———
gemini-embedding-exp-03-07Takes text. Output modality not published.——$0.02$0.02/M———
google/gemma-2-9b-it:free——$0.02$0.02/M———
text-embedding-004——$0.02$0.02/M———
gemma-7b-it——$0.1$0.1/M———
gemini-embedding-001Takes text. Output modality not published.——$0.15$0.15/M———
gemini-embedding-2Takes text, vision, audio, video. Output modality not published.——$0.2$0.6/M———
gemini-pro——$0.2$0.6/M———
gemma-3-12b-it——$0.2$0.2/M———
gemma-3-1b-it——$0.2$0.2/M———
gemma-3-27b-it——$0.2$0.2/M———
gemma-3-4b-it——$0.2$0.2/M———
gemma-3n-e4b-it——$0.2$0.2/M———
google-gemma-3-12b-it——$0.2$0.2/M———
google-gemma-3-27b-it——$0.2$0.2/M———
google-gemma-3-4b-it——$0.2$0.2/M———
unsloth/gemma-3-12b-it——$0.2$0.8/M———
unsloth/gemma-3-27b-it——$0.22$0.22/M———
gemini-3.8-flash-ttsTakes text, returns audio.——$0.5$9/M$0.125/M42 tok/s1.70 s
google/gemma-2-27b-it——$0.8$0.8/M———
gemini-3.8-flash-lite-ttsTakes text, returns audio.——$1$1/M$0.25/M——
gemini-pro-vision——$1$1/M———
gemini-2.5-pro-exp-03-25Takes text, vision, audio, video, returns text.——$1.25$5/M$0.125/M122 tok/s8.30 s
gemini-2.5-pro-preview-03-25Takes text, vision, returns text.——$1.25$10/M$0.125/M98 tok/s2.34 s
gemini-2.5-pro-preview-03-25-searchTakes text, vision, audio, video, returns text.——$1.25$10/M$0.125/M98 tok/s2.34 s
gemini-2.5-pro-preview-05-06-searchTakes text, vision, audio, video, returns text.——$1.25$10/M$0.125/M98 tok/s2.34 s
gemini-2.5-pro-preview-06-05-searchTakes text, vision, audio, video, returns text.——$1.25$10/M$0.125/M78 tok/s7.99 s
gemini-exp-1114——$1.25$5/M———
gemini-exp-1121——$1.25$5/M———
gemini-exp-1206——$1.25$5/M———
google/gemini-exp-1114——$1.25$5/M———
learnlm-1.5-pro-experimental——$1.25$5/M———
veo-3.1-lite-generate-previewTakes text, vision, returns video.——$720$720/M———

Prices are USD per million tokens; cache read and cache write are the rates for prompt-cache hits and for writing a prompt into the cache. Throughput and latency are measured on AIHubMix — the same figures the model detail page shows — not vendor claims. A dash means the catalog does not publish that field for that model, which is not the same as the model not supporting it.

Google on AIHubMix

Which Google model should I start with?

gemini-3-flash-preview-free is free on input — the cheapest entry here that declares tool calling, and it carries a 1.05M context. Move up to veo-3.1-lite-generate-preview when answer quality matters more than cost, or to gemini-3.5-flash-lite-free for long-form reasoning.

Which of these models reason before answering?

32 of the 87 models here declare a reasoning phase — they work through the problem before producing an answer, which helps on multi-step problems at the cost of extra output tokens. Use the Reasoning filter above the table to see them. The catalog does not record anything further about how they differ, so this page does not sort them into families.

Why are there several entries for the same model?

Because each row is a route you can call, not a model release. Some IDs name an upstream (azure-, alicloud-, cc-), some are the open-weight repository form (google/…), and some differ only in capitalisation, kept so older integrations keep working.

The catalog does not carry a field saying which of those a given row is, so this page does not sort them into buckets it would have to invent. Every row shows that route’s own price, context and speed — compare those directly, and open a model to see the upstreams that serve it.

How is cached input billed?

The Cache read column is the rate for input tokens served from the prompt cache — for example gemini-2.5-flash bills cache hits at 10% of the input rate and gemini-2.5-flash-image bills cache hits at 10% of the input rate. Cache write is the surcharge for putting a prompt into the cache in the first place, and only a few upstreams bill it separately. A dash in either column means the catalog carries no cache rate for that model, so plan on paying the full input rate.

Do I need a separate Google account?

No. One AIHubMix key covers every model on this page, and switching between them is a change to the model string — billing, rate limits, and logs stay in one place.

Start calling Google in one line

One key, one endpoint, 911 models across 42 model authors.