Minimax Models

31 modelsGeneral models free to startUp to 1M context

Usage

Last 30 days · 2026-07-22 to 2026-08-20

Tokens

26.9B

Requests

1.1M

Models in use

30 of 31

Tokens per day, stacked by model

01.3B2.5B07-2207-2908-0508-1208-192026-07-22 — 345,704,505 tokens coding-minimax-m3: 78,964,965 cc-minimax-m3: 67,167,405 minimax-m3: 61,816,970 21 more models: 58,012,630 coding-minimax-m3-free: 33,274,040 coding-minimax-m2.7-highspeed: 23,443,335 cc-minimax-m2.7: 13,972,705 coding-minimax-m2.7-free: 9,052,4552026-07-23 — 766,787,680 tokens cc-minimax-m2.7: 465,027,275 minimax-m3: 106,399,770 cc-minimax-m3: 90,159,280 coding-minimax-m3: 42,863,870 coding-minimax-m3-free: 26,701,855 coding-minimax-m2.7-highspeed: 18,792,715 coding-minimax-m2.7-free: 10,977,830 21 more models: 5,865,0852026-07-24 — 1,013,905,740 tokens cc-minimax-m3: 254,860,770 cc-minimax-m2.7: 236,941,270 coding-minimax-m3: 222,042,845 minimax-m3: 142,749,775 21 more models: 99,135,215 coding-minimax-m3-free: 25,816,405 coding-minimax-m2.7-highspeed: 18,975,450 coding-minimax-m2.7-free: 13,282,805 coding-minimax-m2.5-highspeed: 101,2052026-07-25 — 731,009,395 tokens minimax-m3: 270,975,975 cc-minimax-m3: 246,626,715 coding-minimax-m3: 128,208,750 coding-minimax-m3-free: 31,756,270 coding-minimax-m2.7-highspeed: 27,549,105 cc-minimax-m2.7: 10,555,025 21 more models: 8,277,080 coding-minimax-m2.7-free: 7,059,595 coding-minimax-m2.5-highspeed: 8802026-07-26 — 916,591,315 tokens minimax-m3: 394,901,690 coding-minimax-m3: 194,907,550 cc-minimax-m3: 174,121,455 21 more models: 42,754,300 coding-minimax-m2.7-highspeed: 41,414,060 coding-minimax-m3-free: 40,733,245 coding-minimax-m2.7-free: 26,870,670 coding-minimax-m2.5-highspeed: 848,420 cc-minimax-m2.7: 39,9252026-07-27 — 640,790,980 tokens minimax-m3: 192,296,455 coding-minimax-m3: 175,202,520 cc-minimax-m2.7: 92,857,575 cc-minimax-m3: 82,363,780 coding-minimax-m3-free: 31,724,825 coding-minimax-m2.7-highspeed: 28,207,625 21 more models: 22,867,575 coding-minimax-m2.7-free: 14,855,165 coding-minimax-m2.5-highspeed: 415,4602026-07-28 — 686,069,845 tokens cc-minimax-m3: 195,306,045 coding-minimax-m3: 137,577,015 minimax-m3: 114,483,150 coding-minimax-m2.7-highspeed: 87,477,660 cc-minimax-m2.7: 50,016,290 coding-minimax-m3-free: 46,299,370 21 more models: 39,170,055 coding-minimax-m2.7-free: 15,736,600 coding-minimax-m2.5-highspeed: 3,6602026-07-29 — 579,962,015 tokens cc-minimax-m3: 181,004,385 coding-minimax-m2.7-highspeed: 120,051,535 minimax-m3: 106,295,000 coding-minimax-m3: 69,320,375 21 more models: 42,517,195 coding-minimax-m3-free: 36,262,955 cc-minimax-m2.7: 13,840,675 coding-minimax-m2.7-free: 10,669,8952026-07-30 — 963,271,545 tokens minimax-m3: 464,285,365 cc-minimax-m3: 196,110,130 coding-minimax-m3: 105,750,660 cc-minimax-m2.7: 81,109,780 coding-minimax-m3-free: 54,113,175 coding-minimax-m2.7-highspeed: 36,888,965 21 more models: 22,422,450 coding-minimax-m2.7-free: 2,590,720 coding-minimax-m2.5-highspeed: 3002026-07-31 — 1,256,661,820 tokens minimax-m3: 719,154,155 cc-minimax-m3: 334,810,695 coding-minimax-m3-free: 69,030,160 coding-minimax-m3: 47,154,755 coding-minimax-m2.7-highspeed: 37,857,115 21 more models: 24,974,090 coding-minimax-m2.7-free: 13,626,245 cc-minimax-m2.7: 10,054,470 coding-minimax-m2.5-highspeed: 1352026-08-01 — 248,197,350 tokens minimax-m3: 62,869,655 coding-minimax-m2.7-highspeed: 39,192,320 21 more models: 33,734,725 coding-minimax-m3-free: 33,654,630 coding-minimax-m3: 29,171,435 cc-minimax-m2.7: 20,536,400 coding-minimax-m2.5-highspeed: 20,064,405 coding-minimax-m2.7-free: 8,579,380 cc-minimax-m3: 394,4002026-08-02 — 583,771,005 tokens cc-minimax-m3: 276,106,315 coding-minimax-m3: 150,974,125 coding-minimax-m2.7-highspeed: 50,226,425 minimax-m3: 44,278,340 coding-minimax-m3-free: 36,112,585 21 more models: 16,768,015 coding-minimax-m2.7-free: 5,855,285 cc-minimax-m2.7: 3,369,325 coding-minimax-m2.5-highspeed: 80,5902026-08-03 — 348,049,770 tokens minimax-m3: 189,630,405 coding-minimax-m2.7-highspeed: 45,247,655 coding-minimax-m3: 42,964,735 coding-minimax-m3-free: 39,905,535 21 more models: 12,915,475 cc-minimax-m3: 7,355,460 coding-minimax-m2.7-free: 6,217,180 coding-minimax-m2.5-highspeed: 2,670,520 cc-minimax-m2.7: 1,142,8052026-08-04 — 354,277,595 tokens minimax-m3: 186,448,500 coding-minimax-m2.7-highspeed: 61,070,600 cc-minimax-m3: 32,690,630 coding-minimax-m3-free: 25,720,285 coding-minimax-m3: 20,025,635 21 more models: 14,695,030 cc-minimax-m2.7: 10,372,335 coding-minimax-m2.7-free: 3,194,370 coding-minimax-m2.5-highspeed: 60,2102026-08-05 — 382,900,155 tokens minimax-m3: 142,240,165 coding-minimax-m2.7-highspeed: 138,582,425 coding-minimax-m3-free: 33,298,330 21 more models: 26,122,835 cc-minimax-m3: 20,719,265 coding-minimax-m3: 17,737,515 coding-minimax-m2.7-free: 4,157,745 cc-minimax-m2.7: 41,8752026-08-06 — 913,050,835 tokens minimax-m3: 659,146,315 cc-minimax-m3: 116,827,505 coding-minimax-m2.7-highspeed: 44,044,355 coding-minimax-m3-free: 39,922,800 coding-minimax-m3: 17,969,090 21 more models: 14,827,955 coding-minimax-m2.7-free: 13,174,265 cc-minimax-m2.7: 7,138,5502026-08-07 — 1,329,841,105 tokens minimax-m3: 914,073,975 cc-minimax-m2.7: 136,707,350 coding-minimax-m3: 124,174,435 cc-minimax-m3: 99,172,525 coding-minimax-m3-free: 26,717,370 coding-minimax-m2.7-highspeed: 16,442,210 21 more models: 6,498,640 coding-minimax-m2.7-free: 6,051,095 coding-minimax-m2.5-highspeed: 3,5052026-08-08 — 2,402,292,235 tokens minimax-m3: 2,261,841,005 coding-minimax-m3: 44,915,405 cc-minimax-m2.7: 41,184,690 coding-minimax-m2.7-highspeed: 19,647,630 coding-minimax-m3-free: 14,501,185 coding-minimax-m2.7-free: 9,768,680 21 more models: 6,836,425 coding-minimax-m2.5-highspeed: 2,184,720 cc-minimax-m3: 1,412,4952026-08-09 — 844,735,710 tokens minimax-m3: 526,739,800 coding-minimax-m3: 122,389,180 cc-minimax-m2.7: 110,440,205 coding-minimax-m3-free: 41,082,305 coding-minimax-m2.7-highspeed: 22,269,700 21 more models: 13,235,250 coding-minimax-m2.7-free: 8,133,150 coding-minimax-m2.5-highspeed: 446,1202026-08-10 — 579,296,630 tokens minimax-m3: 280,551,000 coding-minimax-m3: 136,341,720 cc-minimax-m2.7: 56,318,195 coding-minimax-m2.7-highspeed: 49,852,960 coding-minimax-m3-free: 41,312,505 coding-minimax-m2.7-free: 9,135,360 21 more models: 5,435,785 coding-minimax-m2.5-highspeed: 237,385 cc-minimax-m3: 111,7202026-08-11 — 308,182,575 tokens minimax-m3: 82,853,655 coding-minimax-m3: 62,452,585 coding-minimax-m3-free: 61,960,000 cc-minimax-m2.7: 46,354,790 coding-minimax-m2.7-highspeed: 35,619,760 coding-minimax-m2.7-free: 13,590,460 cc-minimax-m3: 3,777,570 21 more models: 1,422,230 coding-minimax-m2.5-highspeed: 151,5252026-08-12 — 974,569,715 tokens minimax-m3: 710,517,465 coding-minimax-m3: 74,406,945 cc-minimax-m2.7: 65,318,410 coding-minimax-m2.7-highspeed: 47,672,370 coding-minimax-m3-free: 33,550,185 coding-minimax-m2.7-free: 24,100,330 21 more models: 18,685,970 cc-minimax-m3: 160,375 coding-minimax-m2.5-highspeed: 157,6652026-08-13 — 1,809,751,115 tokens minimax-m3: 1,667,624,885 cc-minimax-m2.7: 44,148,630 coding-minimax-m2.7-highspeed: 34,154,670 coding-minimax-m3-free: 25,271,345 cc-minimax-m3: 20,374,915 coding-minimax-m2.7-free: 8,023,690 coding-minimax-m3: 5,276,095 21 more models: 4,876,8852026-08-14 — 336,069,235 tokens minimax-m3: 168,796,620 cc-minimax-m2.7: 43,355,885 coding-minimax-m3-free: 42,666,670 coding-minimax-m2.7-highspeed: 36,722,380 coding-minimax-m3: 18,533,550 coding-minimax-m2.7-free: 15,808,675 21 more models: 5,550,815 coding-minimax-m2.5-highspeed: 3,082,695 cc-minimax-m3: 1,551,9452026-08-15 — 427,205,055 tokens coding-minimax-m2.5-highspeed: 102,607,690 cc-minimax-m2.7: 97,563,130 coding-minimax-m2.7-highspeed: 97,278,115 minimax-m3: 65,756,915 coding-minimax-m3: 29,449,095 coding-minimax-m2.7-free: 12,100,345 coding-minimax-m3-free: 11,419,050 cc-minimax-m3: 10,105,155 21 more models: 925,5602026-08-16 — 366,137,990 tokens minimax-m3: 182,390,060 coding-minimax-m2.7-highspeed: 72,278,220 cc-minimax-m2.7: 55,177,530 coding-minimax-m3-free: 19,179,660 coding-minimax-m3: 17,722,630 coding-minimax-m2.7-free: 15,688,360 21 more models: 3,661,260 coding-minimax-m2.5-highspeed: 40,2702026-08-17 — 1,428,925,365 tokens cc-minimax-m3: 733,162,345 minimax-m3: 379,836,025 coding-minimax-m2.7-highspeed: 174,895,635 cc-minimax-m2.7: 49,829,555 coding-minimax-m3-free: 40,578,600 coding-minimax-m3: 28,018,015 21 more models: 12,594,200 coding-minimax-m2.7-free: 10,010,510 coding-minimax-m2.5-highspeed: 4802026-08-18 — 1,183,474,840 tokens minimax-m3: 976,850,415 cc-minimax-m2.7: 65,546,960 cc-minimax-m3: 45,975,200 coding-minimax-m2.7-highspeed: 36,435,230 coding-minimax-m3-free: 23,981,585 coding-minimax-m3: 21,928,540 coding-minimax-m2.7-free: 6,893,835 21 more models: 5,862,195 coding-minimax-m2.5-highspeed: 8802026-08-19 — 2,535,207,770 tokens minimax-m3: 2,230,498,860 cc-minimax-m3: 132,901,155 cc-minimax-m2.7: 70,570,100 coding-minimax-m3-free: 39,960,080 coding-minimax-m3: 20,438,155 coding-minimax-m2.7-highspeed: 17,598,165 21 more models: 11,970,395 coding-minimax-m2.7-free: 11,270,260 coding-minimax-m2.5-highspeed: 6002026-08-20 — 1,602,619,455 tokens minimax-m3: 1,278,723,045 cc-minimax-m3: 93,779,605 cc-minimax-m2.7: 73,126,685 coding-minimax-m2.7-highspeed: 60,561,495 coding-minimax-m3: 55,501,100 coding-minimax-m3-free: 25,120,185 21 more models: 8,385,380 coding-minimax-m2.7-free: 7,421,370 coding-minimax-m2.5-highspeed: 590
  • minimax-m3
  • cc-minimax-m3
  • coding-minimax-m3
  • cc-minimax-m2.7
  • coding-minimax-m2.7-highspeed
  • coding-minimax-m3-free
  • coding-minimax-m2.7-free
  • coding-minimax-m2.5-highspeed
  • 21 more models

Which models that traffic went to

  1. MiniMax M358.0%15.6B
  2. CC MiniMax M312.7%3.4B
  3. Coding MiniMax M38.3%2.2B
  4. CC MiniMax M2.77.3%2B
  5. Coding MiniMax M2.7 Highspeed5.7%1.5B
  6. Coding MiniMax M3 (free)3.9%1.1B
  7. Coding MiniMax M2.7 (free)1.2%324M
  8. Coding MiniMax M2.5 Highspeed0.5%133M
  9. 21 more models2.2%591M

Share of 26.9B tokens. 1 models with traffic report no token counts and cannot be ranked here, including MiniMaxAI/MiniMax-M1-80k — 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 31 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 31 Minimax Models

Open in model list
Minimax 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
MiniMax-Text-01Takes text. Output modality not published.1M$0.14$1.12/M29 tok/s1.54 s
minimax-m3Takes text, returns text.1M192K$0.29$1.15/M60 tok/s1.68 s
coding-minimax-m2-freeTakes text, returns text.205K13KFreeFree/M
coding-minimax-m2.1-freeTakes text, returns text.205K13KFreeFree/M
coding-minimax-m2.5-freeTakes text, returns text.205K13KFreeFree/M
coding-minimax-m2.7-freeTakes text, returns text.205K13KFreeFree/M
coding-minimax-m3-freeTakes text, returns text.205K13KFreeFree/M
coding-minimax-m2Takes text, returns text.205K13K$0.20$0.20/M
coding-minimax-m2.1Takes text, returns text.205K13K$0.20$0.20/M
coding-minimax-m2.5Takes text, returns text.205K13K$0.20$0.20/M
coding-minimax-m2.5-highspeedTakes text, returns text.205K13K$0.20$0.20/M
coding-minimax-m2.7Takes text, returns text.205K13K$0.20$0.20/M
coding-minimax-m2.7-highspeedTakes text, returns text.205K13K$0.20$0.20/M
coding-minimax-m3Takes text, returns text.205K13K$0.20$0.20/M
minimax-m2Takes text, returns text.205K192K$0.29$1.15/M42 tok/s0.69 s
minimax-m2.1Takes text, returns text.205K192K$0.29$1.15/M56 tok/s0.64 s
minimax-m2.5Takes text, returns text.205K192K$0.29$1.15/M57 tok/s1.84 s
minimax-m2.5-highspeedTakes text, returns text.205K192K$0.29$1.15/M33 tok/s0.84 s
minimax-m2.7Takes text, returns text.200K128K$0.30$1.18/M$0.06/M34 tok/s4.89 s
minimax-h3Takes text, vision, audio, video, returns video.FreeFree/M
cc-MiniMax-M2Takes text, returns text.$0.10$0.10/M
cc-minimax-m2Takes text, returns text.$0.10$0.10/M
cc-minimax-m2.1Takes text, returns text.$0.10$0.10/M
cc-minimax-m2.5Takes text, returns text.$0.10$0.10/M
cc-minimax-m2.5-highspeedTakes text, returns text.$0.10$0.10/M
cc-minimax-m2.7Takes text, returns text.$0.10$0.10/M
cc-minimax-m2.7-highspeedTakes text, returns text.$0.10$0.10/M
cc-minimax-m3Takes text, returns text.$0.10$0.10/M
mm-minimax-m2.7-highspeedTakes text, returns text.$0.10$0.10/M
alicloud-minimax-m2.5$0.29$1.15/M$0.06/M
MiniMaxAI/MiniMax-M1-80k$0.60$2.40/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.

Minimax on AIHubMix

Which Minimax model should I start with?

coding-minimax-m2-free is free on input — the cheapest entry here that declares tool calling, and it carries a 205K context. Move up to MiniMaxAI/MiniMax-M1-80k when answer quality matters more than cost, or to minimax-m3 for long-form reasoning.

Which of these models reason before answering?

18 of the 31 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 (MiniMaxAI/…), 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 alicloud-minimax-m2.5 bills cache hits at 20% of the input rate and minimax-m2.7 bills cache hits at 20% 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 Minimax 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 Minimax in one line

One key, one endpoint, 859 models across 37 model authors.