Anthropic Models

32 modelsGeneral models from $1/M inputUp to 1M context

Usage

Last 20 days · 2026-08-17 to 2026-09-11

Tokens

8.2B

Requests

160K

Models in use

6 of 32

Tokens per day, stacked by model

01.2B2.5B08-1708-2408-312026-08-17 — 53,773,280 tokens claude-sonnet-4-6: 52,205,321 claude-opus-4-5-20251101: 1,564,303 claude-opus-4-7: 1,392 claude-opus-4-6: 1,152 claude-haiku-4-5: 1,1122026-08-18 — 26,913,222 tokens claude-sonnet-4-6: 24,149,685 claude-opus-4-5-20251101: 1,155,983 claude-opus-4-6: 946,798 claude-opus-4-8: 651,312 claude-opus-4-7: 8,232 claude-haiku-4-5: 1,2122026-08-19 — 96,690,102 tokens claude-sonnet-4-6: 67,448,177 claude-opus-4-8: 14,956,765 claude-opus-4-6: 13,614,818 claude-opus-4-7: 535,723 claude-opus-4-5-20251101: 133,451 claude-haiku-4-5: 1,1682026-08-20 — 262,268,539 tokens claude-opus-4-8: 209,369,897 claude-sonnet-4-6: 40,099,486 claude-opus-4-6: 11,378,029 claude-opus-4-7: 718,165 claude-opus-4-5-20251101: 702,147 claude-haiku-4-5: 8152026-08-21 — 62,235,065 tokens claude-sonnet-4-6: 29,734,533 claude-opus-4-8: 23,792,887 claude-opus-4-6: 5,887,765 claude-opus-4-7: 1,639,533 claude-opus-4-5-20251101: 1,179,235 claude-haiku-4-5: 1,1122026-08-22 — 49,118,379 tokens claude-opus-4-8: 20,451,448 claude-opus-4-6: 16,085,441 claude-sonnet-4-6: 10,401,126 claude-opus-4-5-20251101: 1,173,108 claude-opus-4-7: 1,006,129 claude-haiku-4-5: 1,1272026-08-23 — 78,537,655 tokens claude-sonnet-4-6: 52,234,360 claude-opus-4-6: 19,139,654 claude-opus-4-8: 5,899,161 claude-opus-4-5-20251101: 728,087 claude-opus-4-7: 535,233 claude-haiku-4-5: 1,1602026-08-24 — 20,976,140 tokens claude-sonnet-4-6: 7,850,831 claude-opus-4-6: 7,029,834 claude-opus-4-8: 5,722,555 claude-opus-4-5-20251101: 342,035 claude-opus-4-7: 29,773 claude-haiku-4-5: 1,1122026-08-25 — 673,307 tokens claude-opus-4-8: 664,203 claude-sonnet-4-6: 5,266 claude-opus-4-7: 1,392 claude-opus-4-6: 1,344 claude-haiku-4-5: 1,1022026-08-26 — 872,938 tokens claude-opus-4-8: 440,906 claude-opus-4-7: 428,476 claude-opus-4-6: 1,288 claude-sonnet-4-6: 1,152 claude-haiku-4-5: 1,1162026-08-27 — 194,174,079 tokens claude-sonnet-4-6: 185,804,889 claude-opus-4-6: 7,548,002 claude-opus-4-5-20251101: 799,008 claude-opus-4-8: 10,686 claude-opus-4-7: 10,378 claude-haiku-4-5: 1,1162026-08-28 — 567,938,904 tokens claude-opus-4-8: 492,877,020 claude-opus-4-7: 74,978,502 claude-opus-4-6: 81,098 claude-sonnet-4-6: 1,215 claude-haiku-4-5: 1,0692026-08-29 — 480,767,315 tokens claude-opus-4-8: 330,453,800 claude-opus-4-7: 150,310,088 claude-opus-4-6: 1,200 claude-sonnet-4-6: 1,169 claude-haiku-4-5: 1,0582026-08-30 — 306,244,134 tokens claude-opus-4-8: 225,137,383 claude-opus-4-7: 81,103,337 claude-opus-4-6: 1,152 claude-sonnet-4-6: 1,139 claude-haiku-4-5: 1,1232026-08-31 — 2,488,912,280 tokens claude-opus-4-8: 1,224,426,973 claude-sonnet-4-6: 819,177,561 claude-opus-4-7: 361,042,257 claude-opus-4-6: 70,219,734 claude-opus-4-5-20251101: 14,044,658 claude-haiku-4-5: 1,0972026-09-01 — 731,693,545 tokens claude-opus-4-8: 293,849,680 claude-sonnet-4-6: 286,927,737 claude-opus-4-7: 102,994,550 claude-opus-4-6: 45,966,760 claude-opus-4-5-20251101: 1,953,771 claude-haiku-4-5: 1,0472026-09-02 — 3,268,324 tokens claude-opus-4-8: 1,835,045 claude-opus-4-6: 1,429,663 claude-opus-4-7: 1,392 claude-sonnet-4-6: 1,152 claude-haiku-4-5: 1,0722026-09-03 — 1,737,960,525 tokens claude-opus-4-8: 754,715,586 claude-sonnet-4-6: 517,824,912 claude-opus-4-7: 342,451,614 claude-opus-4-6: 112,310,573 claude-opus-4-5-20251101: 10,656,732 claude-haiku-4-5: 1,1082026-09-04 — 997,866,420 tokens claude-opus-4-8: 432,491,588 claude-sonnet-4-6: 345,010,522 claude-opus-4-6: 108,388,665 claude-opus-4-7: 67,077,975 claude-opus-4-5-20251101: 44,896,972 claude-haiku-4-5: 6982026-09-11 — 0 tokens
  • claude-opus-4-8
  • claude-sonnet-4-6
  • claude-opus-4-7
  • claude-opus-4-6
  • claude-opus-4-5-20251101
  • claude-haiku-4-5

Which models that traffic went to

  1. Claude Opus 4.849.5%4B
  2. Claude Sonnet 4.629.9%2.4B
  3. Claude Opus 4.714.5%1.2B
  4. Claude Opus 4.65.1%420M
  5. Claude Opus 4.5 202511011.0%79.3M
  6. Claude Haiku 4.5<0.1%20.4K

Share of 8.2B tokens.

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 20 days, counting the 32 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 32 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-4-6Takes text, vision, PDF, returns text.1M128K$3$15/M$0.3/M$3.75/M
claude-opus-4-6Takes text, vision, PDF, returns text.1M128K$5$25/M$0.5/M$6.25/M
claude-opus-4-6-thinkTakes text, vision, PDF, returns text.1M128K$5$25/M$0.5/M$6.25/M
claude-opus-4-7Takes text, vision, PDF, returns text.1M128K$5$25/M$0.5/M$6.25/M
claude-opus-4-7-thinkTakes text, vision, PDF, returns text.1M128K$5$25/M$0.5/M$6.25/M
claude-opus-4-8Takes text, vision, PDF, returns text.1M128K$5$25/M$0.5/M$6.25/M
claude-3-haiku-20240229Takes text, vision, returns text.200K$0.25$0.25/M
claude-3-haiku@20240307Takes text, vision, returns text.200K$0.25$1.25/M67 tok/s0.80 s
claude-3-5-haikuTakes text, vision, returns text.200K$1$5/M62 tok/s1.00 s
claude-haiku-4-5Takes text, vision, PDF, returns text.200K64K$1$5/M$0.1/M16 tok/s2.51 s
claude-3-5-sonnetTakes text, vision, returns text.200K$3$15/M57 tok/s0.60 s
claude-3-5-sonnet-20240620Takes text, vision, returns text.200K$3$15/M
claude-3-7-sonnetTakes text, vision, returns text.200K$3$15/M57 tok/s0.63 s
claude-3-sonnet-20240229Takes text, vision, returns text.200K$3$15/M
claude-sonnet-4-0Takes text, vision, returns text.200K$3$15/M$0.3/M72 tok/s2.12 s
claude-sonnet-4-5Takes text, vision, PDF, returns text.200K64K$3$15/M$0.3/M95 tok/s2.45 s
claude-sonnet-4-5-thinkTakes text, vision, PDF, returns text.200K64K$3$15/M$0.3/M
claude-opus-4-5Takes text, vision, PDF, returns text.200K64K$5$25/M$0.5/M
claude-opus-4-5-thinkTakes text, vision, PDF, returns text.200K64K$5$25/M$0.5/M
claude-opus-4-0Takes text, vision, returns text.200K$15$75/M23 tok/s1.95 s
claude-opus-4-1Takes text, vision, returns text.200K$15$75/M41 tok/s1.69 s
claude-3-haiku-20240307Takes text, vision, returns text.$0.25$1.25/M
claude-instant-1.2$0.8$3.6/M
claude-instant-1$1.63$1.63/M
claude-3-5-sonnet@20240620$3$15/M
claude-opus-4-5-20251101$5$25/M$0.5/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$15$75/M
claude-3-opus@20240229$15$75/M
claude-sonnet-4-5-proTakes text, vision, returns text.$60$240/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-3-5-haiku at $1/M input — the cheapest entry here that declares tool calling, and it carries a 200K context. Move up to claude-sonnet-4-5-pro when answer quality matters more than cost, or to claude-sonnet-4-6 for long-form reasoning.

Which of these models reason before answering?

15 of the 32 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-opus-4-5 bills cache hits at 10% of the input rate and claude-opus-4-5-20251101 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 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, 750 models across 29 model authors.