Google Models

90 modelsGeneral models free to startUp to 1.05M context

Usage

Last 30 days · 2026-10-02 to 2026-10-31

Tokens

61.8B

Requests

9M

Models in use

81 of 90

Tokens per day, stacked by model

01.7B3.4B10-0210-0910-1610-2310-302026-10-02 — 1,120,035,319 tokens gemini-3.8-flash: 349,753,865 35 more models: 261,595,155 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-3.5-flash: 23,816,3012026-10-03 — 1,665,498,165 tokens gemini-3.8-flash: 947,960,116 35 more models: 243,959,028 gemini-2.5-flash-lite: 144,061,395 gemini-3.7-flash: 79,467,667 gemini-3-flash-preview: 76,301,724 gemini-3.1-pro-preview: 73,947,134 gemini-3.1-flash-lite: 58,926,265 gemini-3.5-flash: 40,874,8362026-10-04 — 1,623,362,843 tokens gemini-3.8-flash: 858,484,718 35 more models: 227,725,805 gemini-2.5-flash-lite: 163,385,975 gemini-3.7-flash: 94,977,684 gemini-3.1-pro-preview: 84,343,759 gemini-3.1-flash-lite: 82,410,631 gemini-3-flash-preview: 59,650,765 gemini-3.5-flash: 52,383,5062026-10-05 — 1,282,531,987 tokens gemini-3.8-flash: 466,087,915 35 more models: 254,586,680 gemini-2.5-flash-lite: 159,774,896 gemini-3.1-pro-preview: 108,523,639 gemini-3.7-flash: 90,404,342 gemini-3.1-flash-lite: 78,553,701 gemini-3.5-flash: 68,434,274 gemini-3-flash-preview: 56,166,5402026-10-06 — 1,413,849,304 tokens gemini-3.8-flash: 541,827,409 35 more models: 210,352,973 gemini-2.5-flash-lite: 172,041,968 gemini-3-flash-preview: 164,682,215 gemini-3.5-flash: 99,230,102 gemini-3.1-flash-lite: 83,892,021 gemini-3.7-flash: 79,758,481 gemini-3.1-pro-preview: 62,064,1352026-10-07 — 1,576,901,265 tokens gemini-3.8-flash: 606,992,418 35 more models: 255,141,663 gemini-3-flash-preview: 239,920,137 gemini-2.5-flash-lite: 197,153,109 gemini-3.1-flash-lite: 80,757,166 gemini-3.7-flash: 78,046,845 gemini-3.1-pro-preview: 63,835,344 gemini-3.5-flash: 55,054,5832026-10-08 — 1,807,844,545 tokens gemini-3.8-flash: 766,143,883 35 more models: 341,940,565 gemini-3-flash-preview: 197,337,040 gemini-2.5-flash-lite: 173,862,902 gemini-3.1-pro-preview: 116,043,749 gemini-3.7-flash: 112,544,406 gemini-3.1-flash-lite: 74,596,174 gemini-3.5-flash: 25,375,8262026-10-09 — 1,913,671,350 tokens gemini-3.8-flash: 851,873,151 35 more models: 300,679,689 gemini-3-flash-preview: 221,911,977 gemini-2.5-flash-lite: 164,322,624 gemini-3.1-pro-preview: 121,653,388 gemini-3.1-flash-lite: 94,210,595 gemini-3.7-flash: 90,481,588 gemini-3.5-flash: 68,538,3382026-10-10 — 2,131,327,401 tokens gemini-3.8-flash: 798,365,448 35 more models: 510,026,733 gemini-3.5-flash: 190,871,836 gemini-3-flash-preview: 142,520,247 gemini-3.7-flash: 139,128,772 gemini-3.1-pro-preview: 137,274,241 gemini-2.5-flash-lite: 127,423,681 gemini-3.1-flash-lite: 85,716,4432026-10-11 — 1,499,354,625 tokens 35 more models: 474,341,404 gemini-3.8-flash: 389,458,963 gemini-2.5-flash-lite: 178,358,856 gemini-3.1-pro-preview: 141,861,677 gemini-3.7-flash: 139,903,436 gemini-3-flash-preview: 74,426,223 gemini-3.1-flash-lite: 54,548,291 gemini-3.5-flash: 46,455,7752026-10-12 — 1,775,135,047 tokens gemini-3.8-flash: 532,823,644 35 more models: 354,663,542 gemini-3-flash-preview: 319,068,113 gemini-2.5-flash-lite: 155,952,818 gemini-3.1-pro-preview: 123,307,138 gemini-3.1-flash-lite: 119,237,486 gemini-3.7-flash: 107,988,323 gemini-3.5-flash: 62,093,9832026-10-13 — 2,020,712,794 tokens gemini-3.8-flash: 724,463,474 gemini-3-flash-preview: 312,969,613 35 more models: 282,666,935 gemini-2.5-flash-lite: 206,608,285 gemini-3.1-pro-preview: 175,899,672 gemini-3.1-flash-lite: 138,057,350 gemini-3.7-flash: 118,429,802 gemini-3.5-flash: 46,172,919 gemini-4-argon: 15,444,7442026-10-14 — 2,523,623,157 tokens gemini-3.8-flash: 862,725,515 gemini-4-argon: 384,466,616 35 more models: 330,115,234 gemini-3-flash-preview: 224,065,081 gemini-3.1-flash-lite: 217,393,828 gemini-2.5-flash-lite: 184,201,172 gemini-3.1-pro-preview: 166,188,236 gemini-3.7-flash: 88,771,746 gemini-3.5-flash: 65,695,7292026-10-15 — 2,372,667,024 tokens gemini-3.8-flash: 635,384,645 gemini-4-argon: 482,123,224 gemini-3-flash-preview: 264,372,859 35 more models: 231,524,363 gemini-3.1-pro-preview: 224,796,318 gemini-3.1-flash-lite: 220,380,260 gemini-2.5-flash-lite: 185,543,452 gemini-3.7-flash: 83,842,680 gemini-3.5-flash: 44,699,2232026-10-16 — 2,292,622,999 tokens gemini-3.8-flash: 609,648,026 gemini-4-argon: 599,590,438 gemini-3-flash-preview: 315,125,710 gemini-2.5-flash-lite: 196,719,580 35 more models: 181,672,663 gemini-3.1-flash-lite: 124,095,147 gemini-3.1-pro-preview: 113,989,374 gemini-3.7-flash: 88,778,841 gemini-3.5-flash: 63,003,2202026-10-17 — 1,535,624,297 tokens gemini-3.8-flash: 465,525,566 gemini-4-argon: 379,033,653 35 more models: 194,576,560 gemini-2.5-flash-lite: 174,108,415 gemini-3.1-pro-preview: 88,973,167 gemini-3.7-flash: 72,325,192 gemini-3-flash-preview: 62,922,385 gemini-3.1-flash-lite: 50,984,862 gemini-3.5-flash: 47,174,4972026-10-18 — 1,389,173,822 tokens gemini-3.8-flash: 416,608,954 gemini-4-argon: 342,651,991 gemini-2.5-flash-lite: 179,882,311 35 more models: 116,970,548 gemini-3.5-flash: 94,662,682 gemini-3-flash-preview: 67,221,877 gemini-3.1-pro-preview: 62,530,652 gemini-3.1-flash-lite: 60,473,955 gemini-3.7-flash: 48,170,8522026-10-19 — 2,289,495,157 tokens gemini-4-argon: 617,693,396 gemini-3.8-flash: 509,293,312 gemini-3-flash-preview: 360,916,850 35 more models: 202,862,408 gemini-2.5-flash-lite: 202,448,817 gemini-3.1-flash-lite: 146,531,182 gemini-3.1-pro-preview: 144,663,430 gemini-3.7-flash: 63,092,537 gemini-3.5-flash: 41,993,2252026-10-20 — 2,785,041,715 tokens gemini-3.8-flash: 844,932,113 gemini-4-argon: 816,917,448 gemini-3-flash-preview: 250,643,739 35 more models: 205,110,434 gemini-2.5-flash-lite: 196,840,777 gemini-3.1-flash-lite: 156,247,034 gemini-3.1-pro-preview: 151,451,915 gemini-3.7-flash: 111,662,900 gemini-3.5-flash: 51,235,3552026-10-21 — 2,133,824,677 tokens gemini-4-argon: 440,800,351 gemini-3.8-flash: 397,351,228 gemini-3-flash-preview: 375,046,766 gemini-2.5-flash-lite: 259,004,245 35 more models: 219,597,205 gemini-3.1-flash-lite: 190,815,141 gemini-3.1-pro-preview: 121,540,823 gemini-3.7-flash: 87,737,093 gemini-3.5-flash: 41,931,8252026-10-22 — 2,587,356,788 tokens gemini-3-flash-preview: 674,236,367 gemini-3.8-flash: 481,585,962 gemini-4-argon: 450,779,672 gemini-2.5-flash-lite: 354,591,374 35 more models: 266,870,593 gemini-3.1-pro-preview: 116,277,493 gemini-3.1-flash-lite: 112,279,646 gemini-3.7-flash: 70,266,950 gemini-3.5-flash: 60,468,7312026-10-23 — 2,126,265,652 tokens gemini-2.5-flash-lite: 474,450,126 gemini-4-argon: 353,386,294 35 more models: 338,548,806 gemini-3.8-flash: 299,466,976 gemini-3-flash-preview: 205,652,646 gemini-3.7-flash: 127,684,327 gemini-3.1-pro-preview: 120,695,888 gemini-3.1-flash-lite: 105,364,668 gemini-3.5-flash: 101,015,9212026-10-24 — 1,752,666,879 tokens gemini-3.8-flash: 435,436,440 35 more models: 281,255,577 gemini-3-flash-preview: 260,006,889 gemini-4-argon: 237,629,222 gemini-2.5-flash-lite: 205,772,504 gemini-3.1-pro-preview: 134,573,909 gemini-3.7-flash: 80,510,531 gemini-3.1-flash-lite: 65,453,047 gemini-3.5-flash: 52,028,7602026-10-25 — 2,875,399,534 tokens gemini-4-argon: 1,535,063,516 gemini-3.8-flash: 424,769,361 35 more models: 256,017,839 gemini-2.5-flash-lite: 211,512,896 gemini-3.1-flash-lite: 140,769,749 gemini-3.1-pro-preview: 106,343,143 gemini-3-flash-preview: 101,071,388 gemini-3.7-flash: 61,418,149 gemini-3.5-flash: 38,433,4932026-10-26 — 2,276,111,518 tokens gemini-3-flash-preview: 428,979,338 gemini-3.8-flash: 428,583,489 gemini-2.5-flash-lite: 374,704,092 gemini-4-argon: 335,936,933 35 more models: 271,412,489 gemini-3.1-pro-preview: 158,040,325 gemini-3.1-flash-lite: 115,934,883 gemini-3.7-flash: 95,428,377 gemini-3.5-flash: 67,091,5922026-10-27 — 2,714,224,118 tokens gemini-3.8-flash: 627,127,725 gemini-3-flash-preview: 606,249,212 gemini-4-argon: 409,833,332 gemini-2.5-flash-lite: 332,799,360 35 more models: 275,767,709 gemini-3.1-pro-preview: 175,409,399 gemini-3.7-flash: 116,252,171 gemini-3.1-flash-lite: 100,330,995 gemini-3.5-flash: 70,454,2152026-10-28 — 2,195,796,708 tokens gemini-3.8-flash: 635,173,348 gemini-4-argon: 486,763,845 gemini-3.1-flash-lite: 313,925,070 gemini-3-flash-preview: 291,571,712 35 more models: 180,162,947 gemini-3.1-pro-preview: 115,907,214 gemini-3.7-flash: 90,794,479 gemini-3.5-flash: 81,498,0932026-10-29 — 3,363,344,060 tokens gemini-4-argon: 850,510,223 gemini-3-flash-preview: 786,945,471 gemini-3.8-flash: 720,577,706 gemini-3.1-flash-lite: 477,552,290 35 more models: 262,782,086 gemini-3.1-pro-preview: 135,519,381 gemini-3.7-flash: 80,302,701 gemini-3.5-flash: 49,154,2022026-10-30 — 2,647,144,926 tokens gemini-3.8-flash: 1,102,932,909 gemini-4-argon: 665,052,736 gemini-3.1-flash-lite: 285,730,168 35 more models: 179,248,074 gemini-3-flash-preview: 173,845,485 gemini-3.1-pro-preview: 146,682,940 gemini-3.7-flash: 56,380,757 gemini-3.5-flash: 37,271,8572026-10-31 — 2,131,165,703 tokens gemini-3.8-flash: 889,439,945 gemini-4-argon: 399,554,951 gemini-3.1-flash-lite: 275,354,606 gemini-3-flash-preview: 217,378,129 35 more models: 153,706,964 gemini-3.1-pro-preview: 109,740,073 gemini-3.7-flash: 47,762,993 gemini-3.5-flash: 38,228,042
  • gemini-3.8-flash
  • gemini-4-argon
  • gemini-3-flash-preview
  • gemini-2.5-flash-lite
  • gemini-3.1-flash-lite
  • gemini-3.1-pro-preview
  • gemini-3.7-flash
  • gemini-3.5-flash
  • 35 more models

Which models that traffic went to

  1. Gemini 3.8 Flash30.1%18.6B
  2. Gemini 4 Argon15.9%9.8B
  3. Gemini 3 Flash Preview12.4%7.6B
  4. Gemini 2.5 Flash Lite8.9%5.5B
  5. Gemini 3.1 Flash Lite6.8%4.2B
  6. Gemini 3.1 Pro Preview5.9%3.7B
  7. Gemini 3.7 Flash4.3%2.7B
  8. Gemini 3.5 Flash3.0%1.8B
  9. 35 more models12.7%7.9B

Share of 61.8B tokens. 38 models with traffic report no token counts and cannot be ranked here, including gemini-3-pro-image-preview and imagen-4.0-ultra-generate-001 — 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 90 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 90 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/M112 tok/s0.43 s
gemini-2.5-flash-lite-nothinkTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.1$0.4/M$0.01/M176 tok/s0.27 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/M306 tok/s0.78 s
gemini-3.1-flash-lite-nothinkTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.25$1.5/M$0.025/M182 tok/s1.27 s
gemini-2.5-flashTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.3$2.499/M$0.03/M111 tok/s0.41 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/M216 tok/s1.30 s
gemini-3-flash-previewTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.5$3/M$0.05/M180 tok/s2.64 s
gemini-3-flash-preview-searchTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.5$3/M$0.05/M310 tok/s1.16 s
gemini-3.5-flashTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.75$3.75/M$0.075/M190 tok/s5.72 s
gemini-3.6-flashTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.75$3.75/M$0.075/M137 tok/s5.43 s
gemini-3.7-flashTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.75$3.75/M$0.075/M110 tok/s1.95 s
gemini-3.8-flashTakes text, vision, audio, video, PDF, returns text.1.05M66K$0.75$3.75/M$0.075/M57 tok/s2.94 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/s2.09 s
gemini-3.1-pro-previewTakes text, vision, audio, video, PDF, returns text.1.05M66K$2$12/M$0.2/M117 tok/s6.47 s
gemini-3.1-pro-preview-customtoolsTakes text, vision, audio, video, PDF, returns text.1.05M66K$2$12/M$0.2/M105 tok/s3.13 s
gemini-3.1-pro-preview-searchTakes text, vision, audio, video, PDF, returns text.1.05M66K$2$12/M$0.2/M95 tok/s4.95 s
gemini-4-argonTakes text, vision, audio, video, PDF, returns text.1.05M66K$2$10/M$0.1/M42 tok/s12.24 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—32 tok/s0.31 s
gemma-4-31b-itTakes text, vision, video, returns text.262K131K$0.2$0.4/M—43 tok/s0.43 s
deepinfra-gemma-4-26b-a4b-itTakes , returns text.262K131K$0.088$0.385/M$0.011/M32 tok/s0.31 s
gemini-3.1-flash-imageTakes text, vision, video, PDF, returns text, vision.131K33KFreeFree/MFree/M54 tok/s19.55 s
gemini-3-pro-imageTakes text, vision, returns text, vision.66K33KFreeFree/M—50 tok/s13.14 s
gemini-3.1-flash-lite-imageTakes text, vision, returns text, vision.66K4KFreeFree/MFree/M436 tok/s2.53 s
gemini-nano-banana-2.1Takes text, vision, returns text, vision.66K—FreeFree/MFree/M144 tok/s3.49 s
gemini-2.5-flash-imageTakes text, vision, returns text, vision.66K33K$0.04$0.04/M$0.004/M214 tok/s5.85 s
gemini-2.5-flash-image-previewTakes text, vision, returns vision.33K8K$0.04$0.04/M—1314 tok/s5.85 s
gemini-3.8-flash-lite-ttsTakes text, returns audio.8K16K$0.5$6/M$0.125/M115 tok/s0.32 s
gemini-3.8-flash-ttsTakes text, returns audio.8K16K$0.5$9/M$0.125/M72 tok/s0.68 s
gemini-2.5-flash-preview-ttsTakes text, returns audio.——FreeFree/M—4 tok/s24.41 s
gemini-2.5-pro-preview-ttsTakes text, returns audio.——FreeFree/M———
gemini-3-pro-image-previewTakes text, vision, returns text, vision.——FreeFree/MFree/M101 tok/s2.40 s
gemini-3.1-flash-image-previewTakes text, vision, returns text, vision.——FreeFree/MFree/M122 tok/s10.13 s
gemini-3.1-flash-image-preview-freeTakes text, vision, returns vision.——FreeFree/M—205 tok/s1.11 s
gemini-omni-1.1-flashTakes text, vision, audio, video, returns video.——FreeFree/MFree/M——
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:freeTakes , returns text.——$0.02$0.02/M———
text-embedding-004——$0.02$0.02/M———
gemma-7b-itTakes , returns text.——$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-proTakes , returns text.——$0.2$0.6/M———
gemma-3-12b-itTakes , returns text.——$0.2$0.2/M———
gemma-3-1b-itTakes , returns text.——$0.2$0.2/M———
gemma-3-27b-itTakes , returns text.——$0.2$0.2/M———
gemma-3-4b-itTakes , returns text.——$0.2$0.2/M———
gemma-3n-e4b-itTakes , returns text.——$0.2$0.2/M———
google-gemma-3-12b-itTakes , returns text.——$0.2$0.2/M———
google-gemma-3-27b-itTakes , returns text.——$0.2$0.2/M———
google-gemma-3-4b-itTakes , returns text.——$0.2$0.2/M———
unsloth/gemma-3-12b-itTakes , returns text.——$0.2$0.8/M———
unsloth/gemma-3-27b-itTakes , returns text.——$0.22$0.22/M———
google/gemma-2-27b-itTakes , returns text.——$0.8$0.8/M———
gemini-pro-visionTakes , returns text.——$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-1114Takes , returns text.——$1.25$5/M———
gemini-exp-1121Takes , returns text.——$1.25$5/M———
gemini-exp-1206Takes , returns text.——$1.25$5/M———
google/gemini-exp-1114Takes , returns text.——$1.25$5/M———
learnlm-1.5-pro-experimentalTakes , returns text.——$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?

gemma-4-26b-a4b-it-free is free on input — the cheapest entry here that declares tool calling, and it carries a 262K context. Move up to veo-3.1-lite-generate-preview when answer quality matters more than cost, or to gemini-3-flash-preview-free for long-form reasoning.

Which of these models reason before answering?

32 of the 90 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-4-argon bills cache hits at 5% 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, 941 models across 46 model authors.