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StepFun · Chat and reasoning · 600B parameters · 27B active · StepFun Model License 1.0

Step 5 Preview

Needs 781 GB at FP8 / INT8. The smallest real configuration today is 4× MI325X at Cyfuture AI, $12.29 per hour, about $8,972 a month at 730 hours.

Parameters600B27B active per token
Context1M tokensmaximum published
Checkpoint650 GBFP8, as published
LicenseStepFun Model License 1.0check before commercial use
ReleasedOct 15, 2026documented date
Smallest configuration · FP8 / INT8
4× MI325X1024 GB VRAM · 76% used
Per hour
$12.29
Per month
$8,972
Cheapest at
Cyfuture AI
All MI325X offers →

What is documented about Step 5 Preview

news checked 2026-10-27

StepFun's largest open release. Card: '600B total parameters, 27B active', up to 1M context, text and image input (the intro also mentions video). HF counts 604.3B. The model was announced around 18-20 Sept; the open weights were published 2026-10-15 (StepFun X post, MarkTechPost). The HF repo was created 2026-09-20. 352 experts, top-8; 72 sliding + 23 full-attention entries, including 3 MTP layers. Card serving guidance: FP8 runs on 4x B300 or 8x H200, BF16 on 8x B300 or 16x H200.

  • https://huggingface.co/stepfun-ai/Step-5-Preview
  • https://huggingface.co/stepfun-ai/Step-5-Preview/raw/main/config.json
  • https://huggingface.co/api/models/stepfun-ai/Step-5-Preview?blobs=true
Memory · 2 precisions · 6 context lengths

How much VRAM it needs

Weights plus runtime overhead, then the KV cache that grows with the context you serve.

PrecisionWeightsWeights + headroom4k context32k context128k context256k context1M context
FP8published checkpoint650 GB781 GB787 GB815 GB912 GB1,040 GB1,813 GB
INT4 / MXFP4estimated360 GB432 GB438 GB467 GB563 GB692 GB1,465 GB
KV cacheone sequence, FP16 cache, included above——6 GB35 GB131 GB260 GB1,033 GB
Cross-checked on Hugging Face Oct 28, 2026: 604.3B parameters in the safetensors headers, 650.3 GB of weight files, attention layout from config.json (92 layers, 64 KV heads × 192, 72 sliding-window layers). Method: weights as published at the native precision, verified on Hugging Face 2026-10-28; other precisions estimated at 1 (8-bit) and 0.6 (4-bit) bytes per parameter; × 1.2 runtime headroom; KV cache = 49152 bytes per token per layer × 20 full-attention layers + 72 sliding-window layers capped at 512 tokens (FP16 cache, one sequence).config.json ↗
Smallest configuration per GPU · 110 GPUs · cheapest eligible on-demand offer per GPU count, every provider on file

What it costs to run, GPU by GPU

The fewest GPUs of one type whose total memory fits the model at short context, priced from the cheapest eligible on-demand offer for exactly that count (45-day window, newest reading per provider), with the next providers beside it. Monthly = 730 hours.

GPUSmallest configVRAM used$ / hour$ / monthCheapest at
MI325XBest fit4× 256 GB1024 GB total76%$12.29$8,972Cyfuture AInot scored · read Nov 1 · receipt
MI300X8× 192 GB1536 GB total51%$13.68$9,986TensorWaveTrust 64 · read Nov 1 · receipt · also Cyfuture AI $22.38, AtmosCompute $26.77
H2008× 141 GB1128 GB total69%$21.04$15,359Airon AInot scored · read Nov 1 · receipt · also Geodd $21.76, Vast.ai $22.11
B3004× 288 GB1152 GB total68%$23.29$17,004UpCloudTrust 75 · read Nov 1 · receipt · also FPT AI Factory $27.96, Vast.ai $37.50
MI355X8× 288 GB2304 GB total34%$23.60$17,228TensorWaveTrust 64 · read Nov 1 · receipt
H200 NVL8× 141 GB1128 GB total69%$26.09$19,042IONOSnot scored · read Nov 1 · receipt · also Geodd $27.12, Vast.ai $39.47
B2008× 180 GB1440 GB total54%$32.91$24,026UpCloudTrust 75 · read Nov 1 · receipt · also Airon AI $33.04, Deep Infra $39.12
B300 CC4× 288 GB1152 GB total68%$46.31$33,806VerdaTrust 81 · read Nov 1 · receipt
GB3004× 288 GB1152 GB total68%$52.21$38,113VerdaTrust 81 · read Nov 1 · receipt
B200 CC8× 180 GB1440 GB total54%$72.37$52,830VerdaTrust 81 · read Nov 1 · receipt