Step 3.5 Flash

Language StepFun Partly verified
  • In Input modalities: Text Out Output modalities: Text
  • Reasoning· low, high
  • Tool use
  • Open weights

Prices

2 offerings · prices as listed
StepFun API (opens in a new tab) Official Global · USD step-3.5-flash
Conditions/ 1M tokensInputCache readOutput
Standard $0.10$0.020$0.30

Prices from StepFun: pricing details (opens in a new tab) (checked Nov 2, 2026)

StepFun API (opens in a new tab) Official China · CNY step-3.5-flash
Conditions/ 1M tokensInputCache readOutput
Standard ¥0.70¥0.14¥2.10

Prices from 阶跃星辰:定价明细 (opens in a new tab) (checked Nov 2, 2026)

Standard: the price a request with no conditions pays (the headline price elsewhere on the site).

Details

Knowledge cutoff
Jan 2025
Licence
Apache 2.0
Family
step-flash
Model ID

Not stated on StepFun’s pages: max input, reasoning can be off, max thinking budget, structured output, built-in tools, aliases.

Run locally

Weights: stepfun-ai/Step-3.5-Flash
  • Parameters 199.4B
  • Active 11B · 288 experts, 8 per token
  • Native precision BF16
  • Layers 45
  • KV cache per token 180 KB
  • Config positions 256K (config.json max_position_embeddings)
  • API context 250K (maker’s API)
My hardware GeForce RTX 4090 24 GB · 1008 GB/s · 64 GB DDR5 dual channel · 89.6 GB/s
On your hardware · GeForce RTX 4090
Doesn’t fit IQ4_XS (automatic) 8K context
WeightsKV cacheOverheadUsable
Needs
≈ 105.0 GB (weights 98.6 + KV cache 1.4 + overhead 4.9)
Usable
21.6 GB (90% of its memory)
Try
IQ3_XXS runs (needs system memory), but below 4 bits quality drops noticeably
PrecisionWeightsNeeds at 8KOn your hardwareLongest context
BF16 (native)maker’s file371.4 GB≈ 391.4Doesn’t fit—
Q8_0197.3 GB≈ 208.6Doesn’t fit—
FP8maker’s file194.2 GB≈ 205.4Doesn’t fit—
Q6_K152.5 GB≈ 161.5Doesn’t fit—
Q5_K_M132.1 GB≈ 140.1Doesn’t fit—
Q5_0127.7 GB≈ 135.5Doesn’t fit—
Q4_K_M112.8 GB≈ 119.9Doesn’t fit—
Q4_0104.5 GB≈ 111.1Doesn’t fit—
IQ4_XS98.6 GB≈ 105.0Doesn’t fit—
Q3_K_Mquality drops90.8 GB≈ 96.7Doesn’t fit—
IQ3_XXSquality drops71.0 GB≈ 76.0Needs system memory 13–20 tok/s—
Q2_Kquality drops69.6 GB≈ 74.5Needs system memory 14–20 tok/s—
IQ2_XXSquality drops47.8 GB≈ 51.6Needs system memory 30–44 tok/s—

Click a row to choose a precision. “Maker’s file” sizes are the maker’s own files; others are parameters × bits per weight.

Compared with other hardware

Each at the highest precision it runs. Click one for details.

Smallest that runs it (Q4_K_M, 8K): GPU NVIDIA H200 SXM; unified memory Apple M5 Ultra (64-core GPU) · 256 GB.

Run commands

The maker publishes no files at this precision. Choose its native precision or one of its own builds, or quantise it yourself with llama.cpp.

Memory to fine-tune
Full≈ 2973.5 GBDoesn’t fit your hardware
LoRA≈ 374.2 GBDoesn’t fit your hardware
QLoRA≈ 107.3 GBDoesn’t fit your hardware

Batch 1, 2,048-token sequences, gradient checkpointing; LoRA and QLoRA train rank-16 adapters on the attention projections.

Estimates; facts from the maker’s Hugging Face repositories, as of 2026-11-06. How it’s estimated

Cited scores

From third-party leaderboards, not measured by us
  • LMArena Text 1,393

    #105 of 163 listed models · CI 1,390–1,397 · 60,305 votes

  • LMArena Text · Chinese 1,432

    #97 of 161 listed models · CI 1,421–1,442 · 3,667 votes

  • LMArena Text · Coding 1,449

    #96 of 163 listed models · CI 1,444–1,455 · 15,184 votes

  • LMArena Text · Creative writing 1,345

    #109 of 163 listed models · CI 1,338–1,352 · 9,760 votes

  • LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · License · as of Oct 28, 2026
  • changes we made

No changes recorded yet.

Sources

Some values on this page are still waiting to be checked against official pages: a filled dot is verified, a hollow one is not yet (with or without a source on file). How we verify data

StepFun · China · stepfun.com

Snapshots, the same family and other models from this provider