StepFun Models

4 modelsGeneral models from $0.11/M inputUp to 256K context

Usage

Last 29 days · 2026-08-09 to 2026-09-07

Tokens

130M

Requests

5.3K

Models in use

4 of 4

Tokens per day, stacked by model

029.6M59.2M08-0908-1708-2408-3109-072026-08-09 — 1,355 tokens step-3.5-flash: 1,140 step-3.7-flash: 2152026-08-10 — 14,225 tokens step-3.7-flash: 10,510 step-3.5-flash: 3,7152026-08-11 — 198,685 tokens step-3.7-flash: 198,230 step-3.5-flash: 4552026-08-12 — 1,025 tokens step-3.7-flash: 810 step-3.5-flash: 2152026-08-13 — 1,514,710 tokens step-3.5-flash: 1,514,070 step-3.7-flash: 6402026-08-14 — 325,665 tokens step-3.7-flash: 325,520 step-3.5-flash: 1452026-08-15 — 89,300 tokens step-3.5-flash: 82,970 step-3.7-flash: 6,3302026-08-17 — 29,975 tokens step-3.7-flash: 29,385 step-3.5-flash: 5902026-08-18 — 185 tokens step-3.5-flash: 1852026-08-19 — 99,815 tokens step-3.5-flash: 99,110 step-3.7-flash: 7052026-08-20 — 91,800 tokens step-3.7-flash: 80,215 step-3.5-flash: 11,5852026-08-21 — 7,269,325 tokens step-3.7-flash: 7,269,3252026-08-22 — 981,510 tokens step-3.7-flash: 978,745 step-3.5-flash: 2,7652026-08-23 — 210 tokens step-3.7-flash: 105 step-3.5-flash: 1052026-08-24 — 56,410 tokens step-3.7-flash: 56,4102026-08-25 — 3,415 tokens step-3.7-flash: 3,4152026-08-26 — 91,965 tokens step-3.5-flash: 91,510 step-3.7-flash: 4552026-08-27 — 13,810 tokens step-3.5-flash: 13,8102026-08-28 — 60,865 tokens step-3.7-flash: 60,8652026-08-29 — 49,980 tokens step-3.7-flash: 49,9802026-08-30 — 5,648,760 tokens step-3.7-flash: 5,648,145 step-3.5-flash: 6152026-08-31 — 19,399,745 tokens step-3.7-flash: 19,398,620 step-3.5-flash: 1,1252026-09-01 — 59,158,085 tokens step-3.7-flash: 59,147,520 step-3.5-flash: 10,5652026-09-02 — 19,999,315 tokens step-3.7-flash: 19,994,160 step-3.5-flash: 5,1552026-09-03 — 1,128,680 tokens step-3.7-flash: 1,128,6802026-09-04 — 2,712,560 tokens step-3.7-flash: 2,677,740 step-3.5-flash: 34,8202026-09-05 — 3,986,160 tokens step-3.7-flash: 3,985,910 step-3.5-flash: 2502026-09-06 — 5,540,805 tokens step-3.7-flash: 5,441,150 step-3.5-flash: 99,6552026-09-07 — 1,501,730 tokens step-3.7-flash: 1,501,275 step-3.5-flash: 455
  • step-3.7-flash
  • step-3.5-flash

Which models that traffic went to

  1. Step 3.7 Flash98.5%128M
  2. Step 3.5 Flash1.5%2M

Share of 130M tokens. 2 models with traffic report no token counts and cannot be ranked here, including step-2-16k and stepfun-ai/step3 — 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 29 days, counting the 4 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 4 StepFun Models

Open in model list
StepFun 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
step-3.5-flashTakes text, vision, returns text.256K$0.11$0.33/M
step-3.7-flashTakes text, vision, returns text.256K$0.22$1.32/M$0.044/M
stepfun-ai/step3$1.1$2.75/M
step-2-16k$2$2/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.

StepFun on AIHubMix

Which StepFun model should I start with?

step-3.5-flash at $0.11/M input — the cheapest entry here that declares a token price, and it carries a 256K context. Move up to step-2-16k 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-), some are the open-weight repository form (stepfun-ai/…), 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 step-3.7-flash 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 StepFun 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 StepFun in one line

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