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Model details

Step 5 Preview

Step 5 Preview is a StepFun model introduced under the heading "Advancing the Pareto Frontier," indicating an effort to push the balance between capability and efficiency in the StepFun line. Third-party tracking attributes the creator to StepFun via the announcement link on stepfun.com, positioning the model as a preview release from that organization rather than as a finished production system.

Independent benchmark aggregators flag Step 5 Preview as a contender in grounded multimodal rankings, with particular strength noted for screenshots, documents, charts, and other grounded image understanding workflows. Practitioners evaluating the model can lean on these aggregate views to gauge fit for visually grounded reasoning tasks, while keeping in mind that public benchmark coverage for the preview remains partial and should be validated against primary StepFun documentation before deployment decisions.

AIHubMixstep-5-preview

Quick Info

Powered by
Provider
AIHubMix
Model key
step-5-preview
Release date
Sep 16, 2026
Last updated
Sep 20, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.08
Output token cost
$3.0888

Limits

Input tokens
1,000,000 tokens
Output tokens
1,000,000 tokens
Context window
1,000,000 tokens

Latest news about Step 5 Preview

AIHubMix

CoverageBenchmark

eesel AI's analysis confirms Step 5 Preview is a frontier model for complex and agentic tasks from Shanghai lab StepFun, with a particular lean toward software engineering and finance. The piece independently corroborates the sparse MoE architecture (600B total, 27B active per token) and notes StepFun's framing as adva The review restates the 65% lower cost claim versus GLM-5.3 and Kimi K3 at comparable intelligence and notes StepFun's healthy open-weights footprint on Hugging Face for earlier Step family models. The author treats the cost chart as a vendor pitch rather than verified verdict, evaluating Step 5 Preview from a practica

AIHubMix

CoveragePreview

Flowtivity confirms StepFun released Step 5 Preview on September 20, 2026, priced at $1.00 per million input tokens and $2.70 per million output tokens, for a 600B-parameter sparse MoE model scoring 44 on the Artificial Analysis Intelligence Index. Per AI Weekly, the score matches Kimi K3 Max and arrives at roughly one The analysis details the 92-layer sparse MoE architecture with 27B active parameters per token, positioned for long-horizon agentic workloads such as software engineering, coding agents, and financial analysis requiring large codebases or document sets held in context. Flowtivity contextualizes StepFun as a Shanghai-ba

AIHubMix

CoveragePreview

MarkTechPost covers StepFun's launch of Step 5 Preview, the new flagship for agentic work targeting software engineering, professional knowledge work, and finance. The model is presented as a sparse Mixture-of-Experts design with approximately 600B total parameters and 27B active per token, roughly 4.5% of weights per The piece confirms the model is deployable as a hosted API and on the StepFun platform, with self-hosting pending open weights on October 15, 2026. Supported features include streaming, tool calling, JSON Mode, JSON Schema, and prompt caching. MarkTechPost notes that 600B parameters require approximately 1.2 TB in BF16

AIHubMix

CoveragePreview

Wealth Engine reports StepFun shipped Step 5 Preview on September 20, 2026, as a 600B-parameter sparse mixture-of-experts model with 27B active parameters per token, priced at $1 per million input tokens and $2.70 per million output tokens. The piece confirms text and image input, a 1M-token context window, and Artific The coverage cites Pandaily's reporting on a 92-layer narrow-deep architecture tuned for long-horizon agent runs, and Artificial Analysis measurements of 99.8 output tokens per second with 2.96 seconds to first token. OrcaRouter's check of the Hugging Face repository found only a .gitattributes file at the time, with n

AIHubMix

CoverageBenchmark

CellCog's detailed breakdown confirms StepFun announced Step 5 Preview at 03:15 UTC on September 20, 2026, with model ID step-5-preview priced and documented. The piece confirms a 600B-parameter sparse mixture-of-experts design with 27B active per token, a 1M-token context window, 64k output tokens, and text, image, an CellCog documents official StepFun API pricing at $1.00 per million input tokens on cache miss, $0.05 on cache hit, and $2.70 per million output tokens, with reasoning tokens counted as output. The analysis notes Step 5 Preview runs level with Kimi K3 and GLM 5.3 on most benchmark rows and behind GPT-6 Astra and Claude

AIHubMix

CoverageBenchmark

MyClaw confirms Step 5 Preview's official documentation and pricing went live as of September 20, 2026, superseding earlier unannounced coverage. The article documents API model ID step-5-preview, a 1-million-token context window, text/image/video input, text output, tool calling, JSON Mode, JSON Schema, and reasoning The piece restates official API rates at $1 per million uncached input tokens, $0.05 for cached input, and $2.70 for output including reasoning tokens. MyClaw notes the model is callable via API subject to account permissions, with standard API usage and Step Plan having separate billing arrangements, and frames Step 5

AIHubMix

CoveragePreview

ExplainX frames Step 5 Preview as announced September 20, 2026, and analyzes the Pareto-frontier claim against Artificial Analysis methodology rather than raw leaderboard performance. The piece confirms a 600B total / 27B active MoE architecture, a 1-million-token context window with vision support, and a headline clai The analysis interprets StepFun's launch chart plotting Artificial Analysis Intelligence Index against cost per task, placing Step 5 Preview at the boundary between efficient and workhorse bands. Open weights are stated to arrive October 15, 2026, with the hosted API accessible now via platform.stepfun.ai. Comparison p

AIHubMix

CoveragePreview

StepFun (阶跃星辰) officially announced Step 5 Preview as its new flagship model for agentic work, framing it as advancing the Pareto frontier for intelligence-versus-cost trade-offs. The page documents a sparse Mixture-of-Experts architecture with 600B total parameters and 27B active per token, a 1M-token context wind The StepFun product page provides an extensive benchmark comparison across DeepSWE v1.1 (67.7 High), StepCodeBench (49.0 High), ProgramBench (80.5 High), Terminal-Bench v4 (33.3 High), Agents' Last Exam ALE-CLI (29.5 High), GDPval-AA v2.1 (1566 High), FrontierFinance (66.4 High), and DRACO (83.3 High), measured against

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