Agnes Models

5 modelsGeneral models from $0.03/M inputUp to 1M contextOfficial site

Usage

Last 28 days · 2026-08-11 to 2026-09-07

Tokens

503M

Requests

4.1K

Models in use

5 of 5

Tokens per day, stacked by model

037.4M74.9M08-1108-1808-2509-012026-08-11 — 3,810 tokens agnes-2.5-flash: 3,8102026-08-12 — 2,764,770 tokens agnes-2.5-flash: 2,471,815 agnes-2.5-pro: 292,005 agnes-2.5-pro-alpha: 9502026-08-13 — 2,406,935 tokens agnes-2.5-flash: 2,406,9352026-08-14 — 51,398,230 tokens agnes-2.5-flash: 51,071,770 agnes-2.5-pro: 307,500 agnes-2.5-pro-alpha: 18,9602026-08-15 — 36,125 tokens agnes-2.5-pro: 16,200 agnes-2.5-flash: 11,230 agnes-2.5-pro-alpha: 8,6952026-08-16 — 18,475 tokens agnes-2.5-flash: 18,4752026-08-17 — 44,762,900 tokens agnes-2.5-flash: 44,760,760 agnes-2.5-pro-alpha: 1,070 agnes-2.5-pro: 1,0702026-08-18 — 2,122,795 tokens agnes-2.5-flash: 2,111,525 agnes-2.5-pro-alpha: 5,635 agnes-2.5-pro: 5,6352026-08-19 — 26,497,180 tokens agnes-2.5-flash: 14,020,565 agnes-2.5-pro: 12,466,540 agnes-2.5-pro-alpha: 10,0752026-08-20 — 3,600,115 tokens agnes-2.5-pro: 2,754,120 agnes-2.5-flash: 840,175 agnes-2.5-pro-alpha: 5,8202026-08-21 — 8,441,260 tokens agnes-2.5-flash: 7,240,195 agnes-2.5-pro-alpha: 1,201,0652026-08-22 — 2,728,030 tokens agnes-2.5-flash: 2,720,465 agnes-2.5-pro: 4,530 agnes-2.5-pro-alpha: 3,0352026-08-23 — 5,799,205 tokens agnes-2.5-flash: 5,795,715 agnes-2.5-pro-alpha: 1,745 agnes-2.5-pro: 1,7452026-08-24 — 54,631,275 tokens agnes-2.5-flash: 41,952,770 agnes-2.5-pro-alpha: 12,596,160 agnes-2.5-pro: 82,3452026-08-25 — 6,010,555 tokens agnes-2.5-flash: 6,010,5552026-08-26 — 11,957,075 tokens agnes-2.5-flash: 4,432,400 agnes-2.5-pro-alpha: 4,010,540 agnes-2.5-pro: 3,514,1352026-08-27 — 66,226,175 tokens agnes-2.5-pro-alpha: 62,775,395 agnes-2.5-flash: 3,449,915 agnes-2.5-pro: 8652026-08-28 — 23,000,320 tokens agnes-2.5-flash: 15,223,995 agnes-2.5-pro-alpha: 7,775,150 agnes-2.5-pro: 1,1752026-08-29 — 1,382,505 tokens agnes-2.5-flash: 1,277,410 agnes-2.5-pro: 103,335 agnes-2.5-pro-alpha: 1,7602026-08-30 — 4,923,190 tokens agnes-2.5-flash: 3,578,405 agnes-2.5-pro: 1,342,705 agnes-2.5-pro-alpha: 2,0802026-08-31 — 639,725 tokens agnes-2.5-flash: 608,965 agnes-2.5-pro: 25,895 agnes-2.5-pro-alpha: 4,8652026-09-01 — 2,598,405 tokens agnes-2.5-flash: 2,594,715 agnes-2.5-pro-alpha: 1,880 agnes-2.5-pro: 1,8102026-09-02 — 25,678,180 tokens agnes-2.5-pro-alpha: 24,019,450 agnes-2.5-flash: 1,559,580 agnes-2.5-pro: 99,1502026-09-03 — 49,608,800 tokens agnes-2.5-pro-alpha: 49,604,640 agnes-2.5-pro: 4,1602026-09-04 — 74,866,705 tokens agnes-2.5-pro: 74,866,025 agnes-2.5-pro-alpha: 6802026-09-05 — 3,890 tokens agnes-2.5-pro-alpha: 1,945 agnes-2.5-pro: 1,9452026-09-06 — 1,640 tokens agnes-2.5-pro-alpha: 845 agnes-2.5-pro: 7952026-09-07 — 30,582,685 tokens agnes-2.5-pro-alpha: 30,582,685
  • agnes-2.5-flash
  • agnes-2.5-pro-alpha
  • agnes-2.5-pro

Which models that traffic went to

  1. Agnes 2.5 Flash42.6%214M
  2. Agnes 2.5 Pro Alpha38.3%193M
  3. Agnes 2.5 Pro19.1%95.9M

Share of 503M tokens. 2 models with traffic report no token counts and cannot be ranked here, including agnes-image-2.1-flash and agnes-3.0-flash — 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 28 days, counting the 5 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 5 Agnes Models

Open in model list
Agnes 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
agnes-2.5-proTakes text, vision, returns text.1M66K$0.45$0.9/M$0.0038/M20 tok/s0.76 s
agnes-2.5-pro-alphaTakes text, vision, returns text.1M66K$0.45$0.9/M$0.0038/M51 tok/s6.68 s
agnes-2.5-flashTakes text, vision, returns text.512K66K$0.03$0.15/M21 tok/s0.77 s
agnes-3.0-flashTakes text, vision, returns text.512K66K$0.03$0.15/M34 tok/s8.66 s
agnes-image-2.1-flashTakes text, vision, returns vision.$1$1/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.

Agnes on AIHubMix

Which Agnes model should I start with?

agnes-2.5-flash at $0.03/M input — the cheapest entry here that declares a token price, and it carries a 512K context. Move up to agnes-image-2.1-flash when answer quality matters more than cost, or to agnes-2.5-pro for long-form reasoning.

Which of these models reason before answering?

4 of the 5 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 agnes-2.5-pro bills cache hits at 0.84% of the input rate and agnes-2.5-pro-alpha bills cache hits at 0.84% 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 Agnes 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 Agnes in one line

One key, one endpoint, 880 models across 38 model authors.