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Step 5 Preview(阶跃星辰 StepFun) Step 5 Preview (StepFun)

Step 5 Preview (StepFun)

阶跃星辰 2026-09-20 发布的新旗舰,官方定位「面向 agentic 工作」:软件工程、Agent 任务、专业知识工作,尤其强调金融。官方称稀疏 MoE、600B 总参数 / 每 token 27B 活跃、1M 上下文、原生图像输入;当日经产品与 API 开放,开源权重定档 2026-10-15。第三方榜:Artificial Analysis Intelligence Index 44(AA 榜单数据,非本库复跑)。注意:Hugging Face 上的 stepfun-ai/Step-5-Preview-BF16 今晚返回 401 / 仅占位,权重尚不可下载。 StepFun’s new flagship, announced 2026-09-20 and pitched by the vendor as a model “for agentic work”: software engineering, agentic tasks, professional knowledge work, with particular emphasis on finance. Vendor claims: sparse MoE with 600B total / 27B active parameters per token, a 1M-token context window, and native image input; available the same day via StepFun’s products and API, with open weights scheduled for 2026-10-15. Third-party board: Artificial Analysis Intelligence Index 44 (AA’s figure, not re-run here). Note: the Hugging Face repo stepfun-ai/Step-5-Preview-BF16 returned 401 / a placeholder tonight — weights are not downloadable yet.

预览:Playwright 实拍 stepfun.com/step-5-preview 首屏 Preview: Playwright capture of stepfun.com/step-5-preview above the fold

来源Sources

为什么推荐Why we recommend it 收录理由:9/20 当日发布的中国厂商前沿旗舰,官方页信息完整(架构、上下文、基准表、可用性与开源排期),HN 与第三方榜同日有据可查,是今晚 Models 看板的头条卡。核实边界:参数量、上下文、基准分、开源日期一律为官方自述(取自 stepfun.com/step-5-preview 页面原文),本库未复跑任何基准;Intelligence Index 44、tok/s、$1 / $2.70 定价与 95% 缓存折扣来自 Artificial Analysis 第三方榜(官方公告页未列价,定价以阶跃 API 平台当日页为准);OrcaRouter 博文是第三方产品博客,只作「权重仓为占位」这一事实的旁证,不为其路由产品背书。本库未实测 API 与 Studio。整理质量 4 星(信息齐、边界清),不代表基准分。 Why: a Chinese lab’s frontier flagship launched today (9/20) with a complete official page (architecture, context, benchmark table, availability, open-weights schedule), plus same-day HN and third-party-board coverage — tonight’s headline card on the Models board. Boundary: parameter counts, context window, benchmark scores, and the open-weights date are all vendor claims quoted from stepfun.com/step-5-preview; no benchmark was re-run here. Intelligence Index 44, tok/s, the $1 / $2.70 pricing, and the 95% cache discount come from the Artificial Analysis third-party board (the announcement page lists no prices; treat pricing per StepFun’s API platform page on the day). The OrcaRouter post is a third-party product blog, cited only as corroboration that the weights repo is a placeholder — no endorsement of its routing product. API and Studio were not tested here.

核验记录:来源、抓取与截图说明Verification log: sources, checks, and captures

四条来源 URL(官方页、AA、OrcaRouter、HN item 49772532)于 2026-09-20 均核到 200;Hugging Face 仓库 stepfun-ai/Step-5-Preview-BF16 返回 401 / 空仓,故不列为来源——权重尚不可下载,10-15 为厂商排期。预览为 Playwright 实拍官方页首屏裁 3:2 WebP。 HN 讨论:item 49772532。All four source URLs (official page, AA, OrcaRouter, HN item 49772532) returned 200 on 2026-09-20; the Hugging Face repo stepfun-ai/Step-5-Preview-BF16 returned 401 / empty and is therefore not listed as a source — weights are not downloadable yet, and 10-15 is a vendor schedule. Preview is a Playwright capture of the official page above the fold, cropped to 3:2 WebP. 4 stars for curation quality (complete info, clear boundaries) — not a benchmark rating. HN: item 49772532.

要点(官方称 / 社区称)Highlights (vendor / community claims)

  • 官方称:面向 agentic 工作的新旗舰,稀疏 Mixture-of-Experts,600B 总参数、每 token 27B 活跃;支持 1M token 上下文与视觉输入;在软件工程、Agent 任务、专业知识工作与金融上「表现强劲」。 Vendor claim: a new flagship for agentic work built on a sparse Mixture-of-Experts — 600B total parameters with 27B active per token; 1M-token context and vision input; “performs strongly” across software engineering, agentic tasks, professional knowledge work, and finance.
  • 官方称:官方页列出对照 GPT-6 Astra / Claude Opus 5 / Claude Fable 5.1 / GLM-5.3 / Kimi K3 的基准表(DeepSWE v1.1 67.7、Terminal-Bench v4 33.3、GPQA Diamond 93.5%、FrontierFinance 66.4 等),多数项目排在 GPT-6 Astra 与 Claude Opus 5 之后;带 † 的 StepCodeBench / FinStepBench 为其内部基准。本库未复跑任何一项。 Vendor claim: the official page tabulates results against GPT-6 Astra / Claude Opus 5 / Claude Fable 5.1 / GLM-5.3 / Kimi K3 (e.g. DeepSWE v1.1 67.7, Terminal-Bench v4 33.3, GPQA Diamond 93.5%, FrontierFinance 66.4), landing behind GPT-6 Astra and Claude Opus 5 on most rows; the †-marked StepCodeBench / FinStepBench are StepFun’s in-house benchmarks. None re-run here.
  • 第三方榜(Artificial Analysis,非官方、非本库):Intelligence Index 44(AA 页面当晚显示排名 #24 / 200),输出约 99.8 tok/s,标价 $1.00 / 百万输入 token、$2.70 / 百万输出 token、缓存折扣 95%;AA 把该模型日期记为 2026-09-18,比官方公告早两天。定价以阶跃星辰 API 平台当日页为准,官方公告页本身未列价。 Third-party board (Artificial Analysis — neither vendor nor this library): Intelligence Index 44 (ranked #24 / 200 on the AA page tonight), ~99.8 output tok/s, listed at $1.00 per 1M input tokens / $2.70 per 1M output tokens with a 95% cache discount; AA dates the model 2026-09-18, two days before the vendor announcement. Treat pricing per StepFun’s API platform page on the day — the announcement page itself lists no prices.
  • 官方称:「Step 5 Preview 今天起可通过我们的产品与 API 使用,模型将于 10 月 15 日以开源权重发布」。截至今晚,Hugging Face 的 stepfun-ai/Step-5-Preview-BF16 仓库对本库返回 401;OrcaRouter 博文称该仓库只有一个 .gitattributes、无权重 / 许可 / 模型卡。开源日期是厂商排期,不是已发生的事实。 Vendor claim: “Step 5 Preview is available today through our products and API. The model will be released with open weights on October 15.” As of tonight the Hugging Face repo stepfun-ai/Step-5-Preview-BF16 returned 401 to this library; the OrcaRouter post says it holds a single .gitattributes with no weights, license, or model card. The open-weights date is a vendor schedule, not a shipped artifact.
  • 官方页 demo 自述(未核实):Room Planner 从卧室照片生成可编辑 3D 房间;Blender + Three.js 做 3D 资产与网页游戏;24 小时自动后训练把 Qwen3-30B-A3B 的 AIME24 从 53.3% 提到 60%;无专门优化下玩 Pokémon 超 3,000 回合、6M token。均为厂商展示,本库未复现。 Official-page demos, as described by the vendor (unverified): a Room Planner that turns a bedroom photo into an editable 3D room; Blender + Three.js for 3D assets and browser games; a 24-hour automated post-training run lifting Qwen3-30B-A3B’s AIME24 from 53.3% to 60%; a Pokémon run past 3,000 turns / 6M tokens without game-specific tuning. All vendor showcases, not reproduced here.

同板相关Related on this board

同一看板上互相关联的卡:社区 demo 指回它跑的模型,模型指向值得看的 demo。Cards linked on this board: a community demo points back to the model it ran on; the model points to demos worth a look.