Google Models

85 modelsGeneral models free to startUp to 1.05M context

Usage

Last 29 days · 2026-08-10 to 2026-09-07

Tokens

249B

Requests

11.9M

Models in use

64 of 85

Tokens per day, stacked by model

06.1B12.2B08-1008-1708-2408-3109-072026-08-10 — 7,243,182,415 tokens 37 more models: 1,945,411,905 gemini-3.1-pro-preview: 1,753,173,295 gemini-3.1-flash-lite: 1,289,588,125 gemini-3-flash-preview: 804,920,310 gemini-3.6-flash: 599,326,965 gemini-2.5-flash-lite: 545,172,270 gemini-3.5-flash: 305,589,5452026-08-11 — 7,125,078,760 tokens 37 more models: 1,732,495,915 gemini-3-flash-preview: 1,178,809,620 gemini-3.6-flash: 1,146,328,905 gemini-3.1-pro-preview: 1,045,157,000 gemini-3.1-flash-lite: 1,028,541,515 gemini-3.5-flash: 497,402,925 gemini-2.5-flash-lite: 496,342,8802026-08-12 — 11,096,928,470 tokens gemini-3.1-pro-preview: 3,136,992,645 gemini-3.6-flash: 1,944,130,060 gemini-3.1-flash-lite: 1,592,668,420 37 more models: 1,587,609,800 gemini-2.5-flash-lite: 1,313,165,555 gemini-3-flash-preview: 1,158,265,715 gemini-3.5-flash: 364,096,2752026-08-13 — 10,231,623,090 tokens gemini-3.1-pro-preview: 3,305,864,365 gemini-3-flash-preview: 1,827,357,645 gemini-3.1-flash-lite: 1,632,362,780 37 more models: 1,546,449,210 gemini-3.6-flash: 905,360,575 gemini-2.5-flash-lite: 669,485,870 gemini-3.5-flash: 344,742,6452026-08-14 — 7,791,067,360 tokens gemini-3.7-flash: 1,550,768,190 gemini-3.1-flash-lite: 1,469,366,805 37 more models: 1,291,227,035 gemini-3-flash-preview: 1,207,210,305 gemini-3.1-pro-preview: 947,507,650 gemini-2.5-flash-lite: 523,973,815 gemini-3.6-flash: 447,426,940 gemini-3.5-flash: 353,586,6202026-08-15 — 6,926,687,130 tokens gemini-3.7-flash: 2,131,783,120 gemini-3-flash-preview: 1,182,659,110 37 more models: 991,968,410 gemini-3.1-flash-lite: 925,368,100 gemini-3.1-pro-preview: 664,895,300 gemini-2.5-flash-lite: 435,933,750 gemini-3.6-flash: 350,576,040 gemini-3.5-flash: 243,503,3002026-08-16 — 4,539,501,750 tokens 37 more models: 990,480,925 gemini-3-flash-preview: 841,864,995 gemini-3.7-flash: 656,262,610 gemini-3.1-pro-preview: 612,965,165 gemini-3.1-flash-lite: 515,394,165 gemini-2.5-flash-lite: 396,911,155 gemini-3.5-flash: 267,644,130 gemini-3.6-flash: 257,978,6052026-08-17 — 10,371,269,885 tokens gemini-3.7-flash: 3,163,009,285 37 more models: 1,651,885,210 gemini-3.1-flash-lite: 1,521,119,255 gemini-3-flash-preview: 1,367,603,065 gemini-3.1-pro-preview: 1,329,732,480 gemini-2.5-flash-lite: 482,860,340 gemini-3.6-flash: 442,003,830 gemini-3.5-flash: 413,056,4202026-08-18 — 9,275,748,560 tokens 37 more models: 3,090,856,870 gemini-3.1-flash-lite: 2,468,286,545 gemini-3-flash-preview: 947,010,815 gemini-3.1-pro-preview: 756,572,525 gemini-3.7-flash: 625,239,390 gemini-2.5-flash-lite: 518,629,130 gemini-3.5-flash: 465,451,565 gemini-3.6-flash: 403,701,7202026-08-19 — 8,322,293,855 tokens gemini-3.1-flash-lite: 2,393,966,960 37 more models: 1,881,357,780 gemini-3.7-flash: 1,321,589,980 gemini-3-flash-preview: 769,662,395 gemini-3.1-pro-preview: 735,187,400 gemini-2.5-flash-lite: 547,853,415 gemini-3.5-flash: 342,442,920 gemini-3.6-flash: 330,233,0052026-08-20 — 10,674,825,260 tokens gemini-3.1-flash-lite: 2,945,900,870 37 more models: 2,543,451,800 gemini-3.7-flash: 2,195,121,400 gemini-3.1-pro-preview: 957,556,800 gemini-3-flash-preview: 839,393,865 gemini-2.5-flash-lite: 643,405,505 gemini-3.5-flash: 318,035,295 gemini-3.6-flash: 231,959,7252026-08-21 — 10,315,224,865 tokens gemini-3.7-flash: 3,335,335,655 37 more models: 1,995,978,195 gemini-3.1-flash-lite: 1,943,008,835 gemini-3-flash-preview: 884,364,125 gemini-2.5-flash-lite: 729,164,345 gemini-3.1-pro-preview: 663,844,440 gemini-3.5-flash: 469,046,760 gemini-3.6-flash: 294,482,5102026-08-22 — 7,253,262,125 tokens gemini-3.7-flash: 2,811,918,185 gemini-3.1-flash-lite: 1,505,875,715 37 more models: 919,202,420 gemini-2.5-flash-lite: 780,852,930 gemini-3.1-pro-preview: 404,121,660 gemini-3-flash-preview: 296,755,025 gemini-3.5-flash: 295,651,475 gemini-3.6-flash: 238,884,7152026-08-23 — 6,099,312,070 tokens gemini-3.7-flash: 1,772,845,920 gemini-2.5-flash-lite: 1,534,950,360 37 more models: 812,321,355 gemini-3.1-pro-preview: 695,962,005 gemini-3.1-flash-lite: 490,897,320 gemini-3-flash-preview: 300,189,495 gemini-3.6-flash: 285,203,660 gemini-3.5-flash: 206,941,9552026-08-24 — 8,233,027,210 tokens gemini-3.7-flash: 1,821,912,645 gemini-2.5-flash-lite: 1,754,952,335 37 more models: 1,289,569,590 gemini-3.1-flash-lite: 1,249,407,290 gemini-3.1-pro-preview: 909,368,650 gemini-3-flash-preview: 598,608,110 gemini-3.6-flash: 313,022,125 gemini-3.5-flash: 296,186,4652026-08-25 — 10,269,742,275 tokens gemini-3.7-flash: 2,855,424,785 gemini-3.6-flash: 1,659,746,550 37 more models: 1,646,620,390 gemini-3.1-flash-lite: 1,321,447,425 gemini-2.5-flash-lite: 857,165,230 gemini-3.1-pro-preview: 796,805,810 gemini-3-flash-preview: 640,108,200 gemini-3.5-flash: 492,423,8852026-08-26 — 10,965,768,820 tokens gemini-3.7-flash: 4,327,231,250 37 more models: 1,756,339,055 gemini-3.1-flash-lite: 1,516,920,915 gemini-2.5-flash-lite: 926,548,715 gemini-3.6-flash: 769,669,660 gemini-3-flash-preview: 715,358,100 gemini-3.1-pro-preview: 672,281,790 gemini-3.5-flash: 281,419,3352026-08-27 — 10,294,628,780 tokens gemini-3.7-flash: 2,863,868,305 gemini-2.5-flash-lite: 2,073,754,070 37 more models: 1,740,403,035 gemini-3.1-flash-lite: 1,401,653,400 gemini-3.1-pro-preview: 835,453,890 gemini-3-flash-preview: 617,228,365 gemini-3.6-flash: 401,282,815 gemini-3.5-flash: 360,984,9002026-08-28 — 8,585,166,070 tokens gemini-3.7-flash: 2,516,820,540 37 more models: 1,950,942,715 gemini-2.5-flash-lite: 1,053,538,240 gemini-3.1-flash-lite: 991,835,675 gemini-3-flash-preview: 732,245,060 gemini-3.1-pro-preview: 641,386,885 gemini-3.6-flash: 412,456,665 gemini-3.5-flash: 285,940,2902026-08-29 — 5,746,548,135 tokens gemini-3.7-flash: 1,417,091,160 37 more models: 1,162,837,610 gemini-3-flash-preview: 914,587,700 gemini-2.5-flash-lite: 793,373,860 gemini-3.1-pro-preview: 523,334,480 gemini-3.1-flash-lite: 469,647,185 gemini-3.6-flash: 301,854,585 gemini-3.5-flash: 163,821,5552026-08-30 — 6,938,572,020 tokens gemini-3.7-flash: 2,625,882,830 gemini-3-flash-preview: 1,076,546,470 37 more models: 1,030,023,130 gemini-2.5-flash-lite: 728,877,575 gemini-3.1-pro-preview: 550,595,745 gemini-3.1-flash-lite: 454,390,145 gemini-3.6-flash: 341,554,425 gemini-3.5-flash: 130,701,7002026-08-31 — 8,785,494,865 tokens gemini-3.7-flash: 1,953,405,235 37 more models: 1,426,594,415 gemini-3-flash-preview: 1,269,001,265 gemini-3.1-flash-lite: 1,144,483,480 gemini-3.1-pro-preview: 1,035,160,610 gemini-2.5-flash-lite: 1,028,563,545 gemini-3.6-flash: 608,814,055 gemini-3.5-flash: 319,472,2602026-09-01 — 7,709,959,625 tokens gemini-3.7-flash: 1,666,846,780 37 more models: 1,356,120,680 gemini-3-flash-preview: 1,216,985,990 gemini-3.1-flash-lite: 1,083,278,765 gemini-2.5-flash-lite: 962,442,325 gemini-3.1-pro-preview: 945,136,995 gemini-3.6-flash: 258,748,315 gemini-3.5-flash: 220,399,7752026-09-02 — 9,008,718,910 tokens gemini-3.7-flash: 2,314,827,840 37 more models: 1,599,754,980 gemini-3.1-flash-lite: 1,330,082,965 gemini-3.1-pro-preview: 1,073,928,700 gemini-3-flash-preview: 1,065,010,210 gemini-2.5-flash-lite: 994,055,175 gemini-3.5-flash: 415,473,530 gemini-3.6-flash: 174,280,190 gemini-3.8-flash: 41,305,3202026-09-03 — 9,557,877,875 tokens 37 more models: 1,548,368,115 gemini-3.7-flash: 1,491,155,720 gemini-3.8-flash: 1,321,048,835 gemini-3.1-flash-lite: 1,251,399,345 gemini-3.1-pro-preview: 1,170,516,790 gemini-3-flash-preview: 1,167,189,960 gemini-2.5-flash-lite: 1,026,070,920 gemini-3.5-flash: 402,015,310 gemini-3.6-flash: 180,112,8802026-09-04 — 9,363,717,895 tokens gemini-3.8-flash: 1,586,109,265 37 more models: 1,520,595,105 gemini-3.7-flash: 1,460,233,685 gemini-3-flash-preview: 1,312,492,915 gemini-2.5-flash-lite: 1,048,391,800 gemini-3.1-flash-lite: 928,297,060 gemini-3.1-pro-preview: 894,799,845 gemini-3.5-flash: 383,800,795 gemini-3.6-flash: 228,997,4252026-09-05 — 6,661,829,365 tokens gemini-3.8-flash: 2,304,346,630 gemini-2.5-flash-lite: 1,092,281,880 37 more models: 922,975,075 gemini-3.7-flash: 589,145,995 gemini-3.1-flash-lite: 479,099,090 gemini-3-flash-preview: 464,186,655 gemini-3.1-pro-preview: 436,009,880 gemini-3.5-flash: 292,101,065 gemini-3.6-flash: 81,683,0952026-09-06 — 7,049,555,845 tokens gemini-3.8-flash: 1,995,193,810 gemini-3.7-flash: 1,652,454,150 37 more models: 979,090,740 gemini-2.5-flash-lite: 965,973,165 gemini-3.1-pro-preview: 532,108,680 gemini-3.1-flash-lite: 350,611,565 gemini-3-flash-preview: 349,346,110 gemini-3.5-flash: 118,669,030 gemini-3.6-flash: 106,108,5952026-09-07 — 12,185,918,620 tokens gemini-3.8-flash: 3,312,971,685 gemini-3.7-flash: 2,209,735,225 37 more models: 1,759,398,070 gemini-3.1-pro-preview: 1,269,943,185 gemini-3-flash-preview: 1,252,863,065 gemini-2.5-flash-lite: 1,136,785,750 gemini-3.1-flash-lite: 673,918,170 gemini-3.6-flash: 360,567,325 gemini-3.5-flash: 209,736,145
  • gemini-3.7-flash
  • gemini-3.1-flash-lite
  • gemini-3.1-pro-preview
  • gemini-3-flash-preview
  • gemini-2.5-flash-lite
  • gemini-3.6-flash
  • gemini-3.8-flash
  • gemini-3.5-flash
  • 37 more models

Which models that traffic went to

  1. Gemini 3.7 Flash20.6%51.3B
  2. Gemini 3.1 Flash Lite14.6%36.4B
  3. Gemini 3.1 Pro Preview11.8%29.3B
  4. Gemini 3 Flash Preview10.9%27B
  5. Gemini 2.5 Flash Lite10.5%26.1B
  6. Gemini 3.6 Flash5.7%14.1B
  7. Gemini 3.8 Flash4.2%10.6B
  8. Gemini 3.5 Flash3.7%9.3B
  9. 37 more models18.0%44.7B

Share of 249B tokens. 19 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 29 days, counting the 85 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 85 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, returns text.1.05M66KFreeFree/M
gemini-3.5-flash-lite-freeTakes text, vision, audio, video, returns text.1.05M66KFreeFree/M124 tok/s5.21 s
gemini-3.6-flash-freeTakes text, vision, audio, video, returns text.1.05M64KFreeFree/M124 tok/s5.21 s
gemini-3.7-flash-freeTakes text, vision, audio, video, returns text.1.05M64KFreeFree/M92 tok/s4.84 s
gemini-3.8-flash-freeTakes text, vision, audio, video, returns text.1.05M64KFreeFree/M72 tok/s6.88 s
gemini-2.5-flash-liteTakes text, vision, audio, video, returns text.1.05M66K$0.1$0.4/M$0.01/M77 tok/s2.02 s
gemini-2.5-flash-lite-nothinkTakes text, vision, audio, video, returns text.1.05M66K$0.1$0.4/M$0.01/M237 tok/s0.88 s
gemini-2.5-flash-lite-preview-09-2025Takes text, vision, audio, video, 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, 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, returns text.1.05M64K$0.25$1.5/M77 tok/s0.81 s
gemini-3.1-flash-lite-nothinkTakes text, vision, audio, video, returns text.1.05M64K$0.25$1.5/M97 tok/s0.59 s
gemini-2.5-flashTakes text, vision, audio, video, returns text.1.05M66K$0.3$2.499/M$0.03/M109 tok/s1.02 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, 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, returns text.1.05M66K$0.3$2.5/M$0.03/M154 tok/s1.15 s
gemini-3-flash-previewTakes text, vision, audio, returns text.1.05M$0.5$3/M$0.05/M180 tok/s3.96 s
gemini-3-flash-preview-searchTakes text, vision, audio, returns text.1.05M$0.5$3/M$0.05/M192 tok/s4.22 s
gemini-3.7-flashTakes text, vision, audio, video, returns text.1.05M66K$0.75$3.75/M$0.075/M91 tok/s3.53 s
gemini-3.8-flashTakes text, vision, audio, video, returns text.1.05M66K$0.75$3.75/M$0.075/M54 tok/s5.13 s
gemini-2.5-proTakes text, vision, audio, video, PDF, returns text.1.05M66K$1.25$10/M$0.125/M88 tok/s6.50 s
gemini-2.5-pro-preview-05-06Takes text, vision, audio, video, 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, returns text.1.05M64K$1.5$9/M$0.15/M122 tok/s6.95 s
gemini-3.6-flashTakes text, vision, audio, video, returns text.1.05M66K$1.5$7.5/M$0.15/M94 tok/s3.37 s
gemini-3.1-pro-previewTakes text, vision, audio, video, returns text.1.05M64K$2$12/M$0.2/M98 tok/s4.78 s
gemini-3.1-pro-preview-customtoolsTakes text, vision, audio, video, returns text.1.05M64K$2$12/M$0.2/M81 tok/s4.16 s
gemini-3.1-pro-preview-searchTakes text, vision, audio, video, returns text.1.05M$2$12/M$0.2/M86 tok/s10.01 s
gemini-2.5-flash-nothinkTakes text, vision, audio, video, returns text.1.05M66K$0.3$2.499/M$0.03/M55 tok/s0.69 s
gemma-4-26b-a4b-it-freeTakes text, vision, returns text.262KFreeFree/M
gemma-4-31b-it-freeTakes text, vision, returns text.262KFreeFree/M
gemma-4-26b-a4b-itTakes , returns text.262K131K$0.14$0.4/M20 tok/s0.36 s
gemma-4-31b-itTakes , returns text.262K131K$0.14$0.4/M209 tok/s0.16 s
deepinfra-gemma-4-26b-a4b-itTakes , returns text.262K131K$0.088$0.385/M$0.011/M43 tok/s0.43 s
gemini-3.1-flash-imageTakes text, vision, returns text, vision.131KFreeFree/M48 tok/s19.06 s
gemini-3-pro-imageTakes text, vision, returns text, vision.66KFreeFree/M48 tok/s41.86 s
gemini-3.1-flash-lite-imageTakes text, vision, returns text, vision.66KFreeFree/M46 tok/s1.04 s
gemini-2.5-flash-imageTakes text, vision, returns text, vision.66K8K$0.04$0.04/M64 tok/s3.38 s
gemini-2.5-flash-image-previewTakes text, vision, returns vision.33K8K$0.04$0.04/M1314 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/M101 tok/s2.40 s
gemini-3.1-flash-image-previewTakes text, vision, returns text, vision.FreeFree/M122 tok/s10.13 s
gemini-3.1-flash-image-preview-freeTakes text, vision, returns vision.FreeFree/M34 tok/s35.35 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/M37 tok/s0.89 s
gemma-3-1b-it$0.2$0.2/M
gemma-3-27b-it$0.2$0.2/M19 tok/s0.51 s
gemma-3-4b-it$0.2$0.2/M21 tok/s0.88 s
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
google/gemma-2-27b-it$0.8$0.8/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 85 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-lite 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, 880 models across 38 model authors.