Anthropic Models

33 modelsGeneral models from $1.1/M inputUp to 1M context

Usage

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

Tokens

265B

Requests

3.2M

Models in use

26 of 33

Tokens per day, stacked by model

011.3B22.6B09-0309-1009-1709-2410-012026-09-03 — 11,463,153,451 tokens claude-opus-5: 5,302,198,452 claude-sonnet-5: 3,196,774,727 claude-opus-4-8: 993,344,100 claude-sonnet-4-6: 726,752,956 13 more models: 574,233,127 claude-fable-5-1: 259,876,897 claude-fable-5: 255,065,227 claude-opus-4-6: 154,907,9652026-09-04 — 10,439,323,803 tokens claude-opus-5: 5,518,596,274 claude-sonnet-5: 2,126,120,066 claude-opus-4-8: 866,721,494 claude-sonnet-4-6: 616,196,759 claude-fable-5-1: 553,816,321 13 more models: 420,310,269 claude-opus-4-6: 180,131,498 claude-fable-5: 157,431,1222026-09-05 — 3,663,788,311 tokens claude-opus-5: 1,582,893,140 claude-sonnet-5: 643,419,485 claude-sonnet-4-6: 533,381,408 claude-fable-5-1: 277,552,339 claude-fable-5: 227,676,931 claude-opus-4-8: 216,871,460 13 more models: 147,761,742 claude-opus-4-6: 34,231,8062026-09-06 — 3,076,848,132 tokens claude-opus-5: 1,189,426,072 claude-sonnet-5: 752,698,960 claude-sonnet-4-6: 387,382,929 claude-fable-5-1: 370,314,327 claude-fable-5: 172,023,764 13 more models: 131,550,569 claude-opus-4-8: 43,327,068 claude-opus-4-6: 30,124,4432026-09-07 — 9,867,742,168 tokens claude-opus-5: 4,552,343,509 claude-sonnet-5: 3,005,153,639 claude-opus-4-8: 935,853,939 claude-sonnet-4-6: 527,747,832 13 more models: 299,163,338 claude-fable-5-1: 289,642,804 claude-fable-5: 156,231,418 claude-opus-4-6: 101,605,6892026-09-08 — 13,054,526,015 tokens claude-opus-5: 6,344,881,493 claude-sonnet-5: 4,288,373,466 claude-opus-4-8: 901,073,578 claude-sonnet-4-6: 578,573,560 13 more models: 381,528,632 claude-fable-5-1: 317,867,116 claude-opus-4-6: 125,970,151 claude-fable-5: 116,258,0192026-09-09 — 12,539,108,493 tokens claude-opus-5: 6,267,789,542 claude-sonnet-5: 3,438,547,211 claude-fable-5-1: 818,996,075 claude-opus-4-8: 701,163,777 claude-sonnet-4-6: 637,136,990 13 more models: 358,299,538 claude-fable-5: 209,444,118 claude-opus-4-6: 107,731,2422026-09-10 — 11,410,796,446 tokens claude-opus-5: 6,139,227,948 claude-sonnet-5: 2,596,897,518 claude-opus-4-8: 978,309,310 claude-sonnet-4-6: 870,626,509 claude-fable-5-1: 282,147,580 13 more models: 262,343,274 claude-fable-5: 166,600,706 claude-opus-4-6: 114,643,6012026-09-11 — 9,634,442,145 tokens claude-opus-5: 5,101,645,510 claude-sonnet-5: 2,902,599,041 claude-sonnet-4-6: 610,434,963 claude-opus-4-8: 445,864,210 13 more models: 276,667,312 claude-fable-5-1: 156,165,096 claude-opus-4-6: 78,366,239 claude-fable-5: 62,699,7742026-09-12 — 3,909,465,629 tokens claude-opus-5: 2,066,505,391 claude-sonnet-5: 993,146,733 claude-sonnet-4-6: 414,133,028 13 more models: 118,360,347 claude-opus-4-8: 117,478,946 claude-fable-5-1: 110,254,856 claude-opus-4-6: 84,648,590 claude-fable-5: 4,937,7382026-09-13 — 3,785,269,007 tokens claude-opus-5: 2,402,078,384 claude-sonnet-5: 458,514,555 claude-opus-4-8: 348,695,220 claude-sonnet-4-6: 221,803,442 claude-fable-5-1: 155,987,956 13 more models: 109,621,042 claude-fable-5: 53,597,757 claude-opus-4-6: 34,970,6512026-09-14 — 13,274,065,190 tokens claude-opus-5: 7,727,741,969 claude-sonnet-5: 3,202,395,295 claude-opus-4-8: 795,212,798 claude-sonnet-4-6: 498,632,491 13 more models: 336,038,250 claude-fable-5-1: 311,054,533 claude-fable-5: 306,319,374 claude-opus-4-6: 96,670,4802026-09-15 — 22,572,992,911 tokens claude-opus-5: 16,899,002,730 claude-sonnet-5: 2,754,146,394 claude-opus-4-8: 959,325,784 claude-sonnet-4-6: 747,058,961 claude-fable-5: 484,815,024 13 more models: 340,507,345 claude-fable-5-1: 247,647,984 claude-opus-4-6: 140,488,6892026-09-16 — 12,633,107,912 tokens claude-opus-5: 6,972,824,906 claude-sonnet-5: 3,153,754,200 claude-opus-4-8: 731,818,820 claude-fable-5-1: 646,209,759 claude-sonnet-4-6: 531,277,598 13 more models: 315,267,138 claude-fable-5: 198,142,511 claude-opus-4-6: 83,812,9802026-09-17 — 12,520,053,235 tokens claude-opus-5: 6,376,913,612 claude-sonnet-5: 3,380,548,053 claude-sonnet-4-6: 1,039,669,859 claude-opus-4-8: 673,340,063 claude-fable-5-1: 398,885,241 13 more models: 342,139,508 claude-fable-5: 196,050,976 claude-opus-4-6: 112,505,9232026-09-18 — 11,092,936,693 tokens claude-opus-5: 5,160,353,734 claude-sonnet-5: 4,243,146,329 claude-sonnet-4-6: 524,939,012 claude-opus-4-8: 497,360,102 13 more models: 369,863,008 claude-fable-5-1: 222,865,158 claude-opus-4-6: 44,724,045 claude-fable-5: 29,685,3052026-09-19 — 2,838,860,217 tokens claude-opus-5: 1,194,690,972 claude-sonnet-5: 903,359,185 claude-sonnet-4-6: 335,235,404 13 more models: 148,320,485 claude-opus-4-8: 93,237,920 claude-fable-5-1: 86,530,938 claude-opus-4-6: 52,495,084 claude-fable-5: 24,990,2292026-09-20 — 6,305,738,038 tokens claude-opus-5: 3,076,608,535 claude-sonnet-5: 1,834,647,349 claude-sonnet-4-6: 542,293,635 claude-fable-5: 209,561,924 claude-opus-4-8: 179,692,061 claude-fable-5-1: 176,276,962 claude-opus-4-6: 143,520,724 13 more models: 143,136,8482026-09-21 — 11,323,544,175 tokens claude-opus-5: 6,492,489,012 claude-sonnet-5: 3,067,218,778 claude-sonnet-4-6: 525,467,305 claude-opus-4-8: 523,594,783 13 more models: 302,472,207 claude-fable-5: 232,287,527 claude-fable-5-1: 110,217,927 claude-opus-4-6: 69,796,6362026-09-22 — 10,624,867,505 tokens claude-opus-5: 6,032,942,201 claude-sonnet-5: 2,976,199,855 claude-opus-4-8: 483,092,828 claude-sonnet-4-6: 412,868,783 13 more models: 308,696,383 claude-fable-5: 202,812,219 claude-fable-5-1: 106,328,370 claude-opus-4-6: 101,926,8662026-09-23 — 15,480,811,242 tokens claude-opus-5: 6,235,526,159 claude-sonnet-5: 3,333,550,644 claude-opus-5-5: 3,194,817,368 claude-opus-4-8: 1,025,958,395 claude-fable-5: 519,557,485 claude-sonnet-4-6: 448,433,922 13 more models: 325,309,326 claude-fable-5-1: 319,629,978 claude-opus-4-6: 78,027,9652026-09-24 — 10,888,328,812 tokens claude-opus-5: 3,982,102,834 claude-opus-5-5: 3,448,256,695 claude-sonnet-5: 1,620,365,894 claude-fable-5-1: 515,673,045 claude-sonnet-4-6: 455,977,169 claude-fable-5: 292,241,854 claude-opus-4-8: 255,754,739 13 more models: 176,781,246 claude-opus-4-6: 141,175,3362026-09-25 — 3,659,229,571 tokens claude-opus-5-5: 1,676,503,073 claude-opus-5: 1,161,332,201 claude-sonnet-5: 471,278,288 claude-opus-4-6: 146,320,403 13 more models: 67,711,396 claude-sonnet-4-6: 64,030,741 claude-fable-5-1: 47,116,356 claude-opus-4-8: 19,505,672 claude-fable-5: 5,431,4412026-09-26 — 3,522,699,061 tokens claude-opus-5-5: 2,367,007,671 claude-sonnet-5: 391,892,756 claude-opus-5: 251,897,609 claude-sonnet-4-6: 165,675,831 claude-fable-5-1: 147,675,066 13 more models: 90,827,992 claude-opus-4-6: 75,969,328 claude-opus-4-8: 20,996,139 claude-fable-5: 10,756,6692026-09-27 — 4,014,064,781 tokens claude-opus-5-5: 2,605,377,604 claude-sonnet-5: 499,072,150 claude-opus-5: 296,821,879 13 more models: 244,104,339 claude-sonnet-4-6: 175,511,980 claude-fable-5-1: 102,105,934 claude-opus-4-8: 58,844,044 claude-opus-4-6: 31,662,226 claude-fable-5: 564,6252026-09-28 — 9,288,138,566 tokens claude-opus-5-5: 5,151,552,319 claude-opus-5: 1,619,768,100 claude-sonnet-5: 1,527,440,303 claude-sonnet-4-6: 346,762,785 13 more models: 275,861,168 claude-opus-4-8: 136,412,536 claude-fable-5: 98,105,448 claude-fable-5-1: 73,350,177 claude-opus-4-6: 58,885,7302026-09-29 — 9,987,027,213 tokens claude-opus-5-5: 4,154,055,030 claude-opus-5: 2,167,427,927 claude-sonnet-5: 1,251,183,481 13 more models: 1,086,464,264 claude-sonnet-4-6: 722,673,624 claude-opus-4-8: 190,570,595 claude-opus-4-6: 152,153,169 claude-fable-5-1: 144,800,655 claude-fable-5: 117,698,4682026-09-30 — 7,162,839,134 tokens claude-opus-5-5: 3,129,677,450 13 more models: 1,336,211,340 claude-opus-5: 1,177,952,967 claude-sonnet-4-6: 636,481,733 claude-sonnet-5: 442,035,912 claude-opus-4-8: 211,481,522 claude-fable-5-1: 103,547,724 claude-opus-4-6: 67,780,715 claude-fable-5: 57,669,7712026-10-01 — 3,071,087,589 tokens claude-opus-5-5: 1,814,014,510 13 more models: 455,681,026 claude-opus-5: 268,991,485 claude-sonnet-4-6: 227,724,699 claude-sonnet-5: 137,579,040 claude-fable-5: 115,745,472 claude-opus-4-6: 26,946,904 claude-opus-4-8: 20,106,180 claude-fable-5-1: 4,298,2732026-10-02 — 2,217,955,236 tokens claude-opus-5-5: 1,086,640,064 claude-opus-5: 376,286,645 13 more models: 349,748,480 claude-sonnet-4-6: 232,944,444 claude-opus-4-8: 82,361,688 claude-sonnet-5: 41,254,020 claude-opus-4-6: 38,301,120 claude-fable-5: 7,995,761 claude-fable-5-1: 2,423,014
  • claude-opus-5
  • claude-sonnet-5
  • claude-opus-5-5
  • claude-sonnet-4-6
  • claude-opus-4-8
  • claude-fable-5-1
  • claude-fable-5
  • claude-opus-4-6
  • 13 more models

Which models that traffic went to

  1. Claude Opus 546.7%124B
  2. Claude Sonnet 522.5%59.6B
  3. Claude Opus 5.510.8%28.6B
  4. Claude Sonnet 4.65.6%14.8B
  5. Claude Opus 4.85.1%13.5B
  6. Claude Fable 5.12.8%7.4B
  7. Claude Fable 51.8%4.7B
  8. Claude Opus 4.61.0%2.7B
  9. 13 more models3.8%10.1B

Share of 265B tokens. 5 models with traffic report no token counts and cannot be ranked here, including claude-3-7-sonnet and claude-3-sonnet-20240229 — 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 33 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 33 Anthropic Models

Open in model list
Anthropic 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
claude-sonnet-5Takes text, vision, PDF, returns text.1M128K$2$10/M$0.2/M$2.5/M7839 tok/s1.03 s
claude-sonnet-5-5Takes text, vision, PDF, returns text.1M—$2$10/M$0.2/M$2.5/M117 tok/s2.91 s
claude-sonnet-4-6Takes text, vision, PDF, returns text.1M128K$3$15/M$0.3/M$3.75/M74 tok/s0.75 s
claude-sonnet-4-6-thinkTakes text, vision, PDF, returns text.1M128K$3$15/M$0.3/M$3.75/M69 tok/s1.09 s
claude-opus-5-5Takes text, vision, PDF, returns text.1M128K$4$20/M$0.2/M$5/M78 tok/s3.23 s
claude-opus-4-6Takes text, vision, PDF, returns text.1M128K$5$25/M$0.5/M$6.25/M60 tok/s1.21 s
claude-opus-4-6-thinkTakes text, vision, PDF, returns text.1M128K$5$25/M$0.5/M$6.25/M53 tok/s1.48 s
claude-opus-4-7Takes text, vision, PDF, returns text.1M128K$5$25/M$0.5/M$6.25/M81 tok/s0.96 s
claude-opus-4-7-thinkTakes text, vision, PDF, returns text.1M128K$5$25/M$0.5/M$6.25/M90 tok/s2.32 s
claude-opus-4-8Takes text, vision, PDF, returns text.1M128K$5$25/M$0.5/M$6.25/M83 tok/s1.05 s
claude-opus-4-8-thinkTakes text, vision, PDF, returns text.1M128K$5$25/M$0.5/M$6.25/M63 tok/s8.28 s
claude-opus-5Takes text, vision, PDF, returns text.1M128K$5$25/M$0.5/M$6.25/M77 tok/s1.42 s
claude-fable-5Takes text, vision, PDF, returns text.1M128K$11$55/M$1.1/M$13.75/M68 tok/s2.39 s
claude-fable-5-1Takes text, vision, PDF, returns text.1M128K$11$55/M$0.275/M$13.75/M60 tok/s5.13 s
claude-3-haiku-20240229Takes text, vision, returns text.200K—$0.275$0.275/M————
claude-3-haiku@20240307Takes text, vision, returns text.200K—$0.275$1.375/M————
claude-haiku-4-5Takes text, vision, PDF, returns text.200K64K$1.1$5.5/M$0.11/M$1.375/M153 tok/s0.51 s
claude-3-7-sonnetTakes text, vision, returns text.200K128K$3.3$16.5/M——57 tok/s0.63 s
claude-3-sonnet-20240229Takes text, vision, returns text.200K—$3.3$16.5/M——67 tok/s0.76 s
claude-sonnet-4-5Takes text, vision, PDF, returns text.200K64K$3.3$16.5/M$0.33/M$4.125/M53 tok/s1.52 s
claude-sonnet-4-5-thinkTakes text, vision, PDF, returns text.200K64K$3.3$16.5/M$0.33/M$4.125/M65 tok/s1.41 s
anthropic-opus-4-6Takes text, vision, returns text.200K32K$5$25/M$0.5/M$6.25/M——
claude-opus-4-5Takes text, vision, PDF, returns text.200K64K$5$25/M$0.5/M$6.25/M49 tok/s1.19 s
claude-opus-4-5-thinkTakes text, vision, PDF, returns text.200K64K$5$25/M$0.5/M$6.25/M53 tok/s1.92 s
claude-opus-4-1Takes text, vision, returns text.200K32K$16.5$82.5/M——41 tok/s1.69 s
claude-3-haiku-20240307Takes text, vision, returns text.——$0.275$1.375/M——48 tok/s1.22 s
claude-instant-1.2——$0.88$3.96/M————
claude-instant-1——$1.793$1.793/M————
claude-2——$8.8$8.8/M————
claude-2.0——$8.8$39.6/M————
claude-2.1——$8.8$39.6/M————
claude-3-opus-20240229——$16.5$82.5/M————
claude-3-opus@20240229——$16.5$82.5/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.

Anthropic on AIHubMix

Which Anthropic model should I start with?

claude-haiku-4-5 at $1.1/M input — the cheapest entry here that declares tool calling, and it carries a 200K context. Move up to claude-opus-4-1 when answer quality matters more than cost, or to claude-sonnet-5 for long-form reasoning.

Which of these models reason before answering?

20 of the 33 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-), 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 claude-fable-5-1 bills cache hits at 2.5% of the input rate and claude-opus-5-5 bills cache hits at 5% 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 Anthropic 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 Anthropic in one line

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