Has Step 5 Preview been released?
Yes. StepFun announced it on September 20, 2026 and made it available the same day through its products and its open platform API as model id step-5-preview.
StepFun Step 5 Preview
Also known as: Step5 Preview / Step 5
Step 5 Preview is StepFun's flagship foundation model, released on September 20, 2026: a sparse MoE with 600B total and about 27B activated parameters across 92 layers, a 1M-token context window, and text, image and video input. It targets agentic coding and knowledge work, scoring 93.5% on GPQA Diamond, 85.0% on Terminal-Bench v2.1, 88.7% on BrowseComp and 76.0% on MMMU-Pro, with an Artificial Analysis Intelligence Index of 44. It is API-only at launch; StepFun says BF16 weights follow on October 15, 2026.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $1.00/ 1M tokens | $2.70/ 1M tokens |
| Type | TTL | Write | Read |
|---|---|---|---|
| Text | - | — | $0.050/ 1M tokens |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
Step 5 Preview currently shows benchmark results led by AA-LCR (2 / 171, score 88.30), HLE (9 / 565, score 59.40), GPQA Diamond (25 / 463, score 93.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
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Step 5 Preview is StepFun's new flagship foundation model, announced on September 20, 2026 and served the same day through StepFun's products and its open platform API under the model id step-5-preview. StepFun says it is built for real-world agentic work — coding, software engineering, professional knowledge work and financial analysis — where a task needs long context, repeated tool calls and continuous execution rather than a single answer.
StepFun's launch announcement describes a sparse mixture-of-experts model with 600B total parameters and roughly 27B activated per token, built "narrow and deep" across 92 transformer layers. The official platform documentation lists a 1M-token context window, text, image and video input with text output, a maximum output of 1M tokens, and three reasoning-effort levels (low, medium, high). Streaming, tool calling, JSON mode and JSON Schema structured output, and prompt caching are all supported.
StepFun's published results include GPQA Diamond 93.5%, Terminal-Bench v2.1 85.0%, BrowseComp 88.7% and MMMU-Pro 76.0%. Artificial Analysis independently scores it at 44 on its Intelligence Index, which StepFun cites as a top-three placing among open-weight models.
Weights were not published at launch: the model is API-only for now, and StepFun has said it will release BF16 weights on October 15, 2026. The licence that will apply to them has not been stated. StepFun's official price list charges CNY 7 per million input tokens (CNY 0.35 on a cache hit) and CNY 20 per million output tokens; Artificial Analysis recorded the equivalent as roughly $1.00 and $2.70 per million tokens.
Yes. StepFun announced it on September 20, 2026 and made it available the same day through its products and its open platform API as model id step-5-preview.
Not yet. The model is API-only at launch; StepFun has said it will publish BF16 weights on October 15, 2026, and has not stated which licence will apply.
StepFun's platform documentation lists a 1M-token context window, text, image and video input with text output, and a maximum output of 1M tokens.
StepFun's official price list charges CNY 7 per million input tokens, CNY 0.35 per million cached input tokens, and CNY 20 per million output tokens. Artificial Analysis recorded roughly $1.00 and $2.70 per million input and output tokens.
StepFun reports GPQA Diamond 93.5%, Terminal-Bench v2.1 85.0%, BrowseComp 88.7% and MMMU-Pro 76.0%. Artificial Analysis scores it 44 on its Intelligence Index, which StepFun cites as a top-three placing among open-weight models.
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