intern-ai Models

2 modelsGeneral models free to startUp to 262K context

Usage

Last 30 days · 2026-10-02 to 2026-10-31

Tokens

184M

Requests

5.6K

Models in use

2 of 2

Tokens per day, stacked by model

011.2M22.4M10-0210-0910-1610-2310-302026-10-02 — 2,164,055 tokens agents-a1-free: 1,377,200 intern-s2-free: 786,8552026-10-03 — 2,851,890 tokens agents-a1-free: 1,786,110 intern-s2-free: 1,065,7802026-10-04 — 7,761,090 tokens agents-a1-free: 6,966,470 intern-s2-free: 794,6202026-10-05 — 22,379,940 tokens agents-a1-free: 18,371,285 intern-s2-free: 4,008,6552026-10-06 — 16,197,170 tokens agents-a1-free: 14,742,165 intern-s2-free: 1,455,0052026-10-07 — 3,397,400 tokens agents-a1-free: 3,185,325 intern-s2-free: 212,0752026-10-08 — 866,405 tokens agents-a1-free: 807,260 intern-s2-free: 59,1452026-10-09 — 16,768,125 tokens agents-a1-free: 16,581,385 intern-s2-free: 186,7402026-10-10 — 11,394,945 tokens agents-a1-free: 11,081,025 intern-s2-free: 313,9202026-10-11 — 1,335,080 tokens agents-a1-free: 1,106,865 intern-s2-free: 228,2152026-10-12 — 2,323,115 tokens agents-a1-free: 1,755,680 intern-s2-free: 567,4352026-10-13 — 7,331,080 tokens agents-a1-free: 4,677,770 intern-s2-free: 2,653,3102026-10-14 — 3,172,500 tokens agents-a1-free: 2,739,115 intern-s2-free: 433,3852026-10-15 — 1,812,855 tokens agents-a1-free: 1,742,670 intern-s2-free: 70,1852026-10-16 — 6,607,440 tokens intern-s2-free: 5,865,540 agents-a1-free: 741,9002026-10-17 — 2,584,020 tokens agents-a1-free: 1,355,915 intern-s2-free: 1,228,1052026-10-18 — 977,225 tokens agents-a1-free: 661,230 intern-s2-free: 315,9952026-10-19 — 2,195,300 tokens agents-a1-free: 1,733,880 intern-s2-free: 461,4202026-10-20 — 4,835,100 tokens agents-a1-free: 2,896,695 intern-s2-free: 1,938,4052026-10-21 — 2,392,150 tokens intern-s2-free: 1,301,425 agents-a1-free: 1,090,7252026-10-22 — 10,571,260 tokens intern-s2-free: 5,990,440 agents-a1-free: 4,580,8202026-10-23 — 3,258,215 tokens intern-s2-free: 1,717,580 agents-a1-free: 1,540,6352026-10-24 — 12,208,655 tokens agents-a1-free: 9,897,890 intern-s2-free: 2,310,7652026-10-25 — 6,922,430 tokens agents-a1-free: 4,847,795 intern-s2-free: 2,074,6352026-10-26 — 3,872,060 tokens agents-a1-free: 3,428,475 intern-s2-free: 443,5852026-10-27 — 6,576,970 tokens agents-a1-free: 6,060,330 intern-s2-free: 516,6402026-10-28 — 6,622,700 tokens agents-a1-free: 3,587,870 intern-s2-free: 3,034,8302026-10-29 — 5,416,700 tokens agents-a1-free: 4,218,565 intern-s2-free: 1,198,1352026-10-30 — 3,703,035 tokens agents-a1-free: 2,932,715 intern-s2-free: 770,3202026-10-31 — 5,520,185 tokens agents-a1-free: 3,764,725 intern-s2-free: 1,755,460
  • agents-a1-free
  • intern-s2-free

Which models that traffic went to

  1. Agents A1 (free)76.2%140M
  2. Intern S2 (free)23.8%43.8M

Share of 184M 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 30 days, counting the 2 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 2 intern-ai Models

Open in model list
intern-ai 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
agents-a1-freeTakes text, vision, returns text.262KFreeFree/M
intern-s2-freeTakes text, vision, returns text.262KFreeFree/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.

Common Comparisons

agents-a1-free vs intern-s2-freeagents-a1-free vs qwen3.8-max-previewagents-a1-free vs kimi-k3agents-a1-free vs glm-5.2agents-a1-free vs grok-4.5

intern-ai on AIHubMix

Which intern-ai model should I start with?

agents-a1-free is free on input — the cheapest entry here that declares a token price, and it carries a 262K context. Move up to intern-s2-free when answer quality matters more than cost.

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.

Do I need a separate intern-ai 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.

Other Model Authors

See all model authors →
Qwen
154 modelsOpenAI
144 modelsGoogle
90 modelsZ.AI
72 modelsLlama
53 models

Start calling intern-ai in one line

One key, one endpoint, 941 models across 46 model authors.

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