step3
About step3
Step3 is a cutting-edge multimodal reasoning model from StepFun. It is built on a Mixture-of-Experts (MoE) architecture with 321B total parameters and 38B active parameters. The model is designed end-to-end to minimize decoding costs while delivering top-tier performance in vision-language reasoning. Through the co-design of Multi-Matrix Factorization Attention (MFA) and Attention-FFN Disaggregation (AFD), Step3 maintains exceptional efficiency across both flagship and low-end accelerators. During pretraining, Step3 processed over 20T text tokens and 4T image-text mixed tokens, spanning more than ten languages. The model has achieved state-of-the-art performance for open-source models on various benchmarks, including math, code, and multimodality
Explore how Step3's advanced multimodal reasoning solves complex, real-world problems efficiently.
Multimodal Scientific Discovery
Accelerate research by analyzing complex datasets, interpreting visual data (graphs, images), generating proofs, and drafting papers with coherent, step-by-step reasoning.
Use Case Example:
"Assisted a materials scientist by interpreting electron microscopy images and correlating them with spectroscopic data to identify novel material properties, significantly speeding up experimental validation."
Advanced Code Analysis & Debugging
Analyze entire codebases, identify subtle logical errors, and suggest performance optimizations based on deep understanding of algorithms and system behavior, even from visual logs.
Use Case Example:
"Pinpointed a race condition in a high-concurrency Rust microservice by reasoning through its distributed logs and architectural diagrams, providing a precise fix that improved system stability."
Intelligent Financial Insights
Perform multi-step quantitative analysis on financial reports, market data, and visual trends, inferring causal relationships and generating detailed strategic recommendations.
Use Case Example:
"Analyzed a company's quarterly earnings reports, market sentiment from news articles, and stock chart patterns to produce a multi-page investment thesis, outlining risks and growth opportunities."
Multimodal System & Compliance Audits
Deploy AI to audit complex systems, legal contracts, or engineering schematics by reasoning through logical dependencies, identifying inconsistencies, and flagging potential issues from diverse data types.
Use Case Example:
"Reviewed industrial control system (ICS) schematics and operational logs, identifying a potential security vulnerability through logical deduction and suggesting a more robust configuration."
Visual Content Interpretation
Extract deep insights from images, videos, and complex diagrams by combining visual understanding with textual context for automated summarization and data extraction.
Use Case Example:
"Automatically summarized key findings from a medical research paper by interpreting embedded graphs, charts, and microscopy images, generating concise textual explanations."
Interactive Learning & Tutoring
Generate step-by-step solutions for complex problems, explain diagrams, and create interactive educational content by reasoning across visual and textual information.
Use Case Example:
"Developed an interactive tutorial for a geometry problem by analyzing a student's hand-drawn diagram, identifying errors, and providing a detailed, visually-aided solution path."
Metadata
Specification
State
Deprecated
Architecture
Calibrated
No
Mixture of Experts
Yes
Total Parameters
321B
Activated Parameters
38B
Reasoning
No
Precision
FP8
Context length
66K
Max Tokens
66K
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