Step 5 Preview

Language StepFun Verified Preview
  • In Input modalities: TextImageVideo Out Output modalities: Text
  • Reasoning· low, medium, high
  • Tool use
  • Structured output
  • Open weights

Prices

2 offerings · prices as listed
StepFun API (opens in a new tab) Official Preview Global · USD step-5-preview
Conditions/ 1M tokensInputCache readOutput
Standard $1.00$0.10$2.70

Prices from StepFun: pricing details (opens in a new tab) (checked Oct 31, 2026)

StepFun API (opens in a new tab) Official Preview China · CNY step-5-preview
Conditions/ 1M tokensInputCache readOutput
Standard ¥7.00¥0.70¥20.00

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

Licence
StepFun Model License 1.0
Family
step
Model ID

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

Run locally

Weights: stepfun-ai/Step-5-Preview
  • Parameters 604.3B
  • Dense
  • Native precision BF16
  • Layers 92
  • KV cache per token 276 KB
  • API context 977K (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
≈ 316.1 GB (weights 299.0 + KV cache 2.2 + overhead 15.0)
Usable
21.6 GB (90% of its memory)
Try
it’s too large for this hardware; see the smallest that runs it below
PrecisionWeightsNeeds at 8KOn your hardwareLongest context
BF16 (native)maker’s file605.6 GB≈ 638.1Doesn’t fit—
Q8_0598.0 GB≈ 630.1Doesn’t fit—
FP8562.8 GB≈ 593.1Doesn’t fit—
Q6_K462.2 GB≈ 487.5Doesn’t fit—
Q5_K_M400.3 GB≈ 422.5Doesn’t fit—
Q5_0386.9 GB≈ 408.5Doesn’t fit—
Q4_K_M341.9 GB≈ 361.2Doesn’t fit—
NVFP4maker’s file367.1 GB≈ 387.6Doesn’t fit—
Q4_0316.6 GB≈ 334.6Doesn’t fit—
IQ4_XS299.0 GB≈ 316.1Doesn’t fit—
Q3_K_Mquality drops275.1 GB≈ 291.0Doesn’t fit—
IQ3_XXSquality drops215.3 GB≈ 228.2Doesn’t fit—
Q2_Kquality drops211.1 GB≈ 223.8Doesn’t fit—
IQ2_XXSquality drops144.9 GB≈ 154.3Doesn’t fit—

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): no single listed GPU; unified memory Apple M5 Ultra (80-core GPU) · 512 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≈ 9008.5 GBDoesn’t fit your hardware
LoRA≈ 1129.8 GBDoesn’t fit your hardware
QLoRA≈ 320.7 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 1,448

    #53 of 163 listed models · CI 1,442–1,455 · 11,355 votes

  • LMArena Text · Chinese 1,507

    #38 of 161 listed models · CI 1,488–1,527 · 921 votes

  • LMArena Text · Coding 1,506

    #47 of 163 listed models · CI 1,494–1,517 · 2,721 votes

  • LMArena Text · Creative writing 1,411

    #57 of 163 listed models · CI 1,398–1,425 · 2,359 votes

  • LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · License · as of Oct 19 – 28, 2026
  • changes we made
  1. Cache read price raised 100% ¥0.35 → ¥0.70 / 1M tokens · StepFun API, China
  2. Cache read price raised 100% $0.050 → $0.10 / 1M tokens · StepFun API

Sources

StepFun · China · stepfun.com

Snapshots, the same family and other models from this provider