Step 5 Preview

Step 5 Preview is StepFun's 600B sparse MoE frontier model for production-scale agents, activating 27B parameters per token. It is built for software engineering, long-horizon tool use, research, professional knowledge work, and finance, with native text, image, and video understanding and a 1M-token context window. ⚠️ Note: This model routes through StepFun, so privacy and logging guarantees may be limited.

  • Reasoning
  • Vision
  • Video Input
  • Tool Calling
  • Parallel Tool Calls
  • Structured Output

Added Sep 20, 2026

Pricing

Auto routing · per 1M tokens
Input
$1.00
Output
$2.70
Cache read
$0.050
Compare provider prices

Specifications

Context window
1M
Max output
1M
Parameters
600B / 27B
Total / active
Avg output (7d)
1.6K tokens
Longer than 85% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

43.7

Better than 95% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

51.0%

Better than 66% of models compared

AutomationBench-AA Tasks Completed

Fully completed workflows without guardrail violations

17.7%

Better than 20% of models compared

Harvey LAB-AA

Legal agentic work criterion pass rate

93.4%

Better than 89% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

1424 Elo

Better than 79% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1587 Elo

Better than 88% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

14.8%

Better than 56% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

88.3%

Better than 99% of models compared

MLCR-AA

Medical long-context reasoning

16.7%

Better than 56% of models compared

Reasoning

HLE

Humanity's Last Exam

46.5%

Better than 94% of models compared

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

33.3%

Better than 83% of models compared

SciCode

Python programming for scientific computing

58.9%

Better than 93% of models compared

Legacy benchmarks

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

88.3%

Better than 99% of models compared

Last updated Oct 10, 2026

Artificial Analysis

Providers

Auto routing is available for this model. Explicit provider selection is not available.

Loading provider options…