StepFun: Step 3.5 Flash
stepfun's mid-tier model. Context window: 262K tokens.
Scores by test
Methodology →What you need to know
Step 3.5 Flash is optimized for high-precision technical tasks, specifically excelling in structured output, strategic analysis, and faithfulness. With a 262K context window and a perfect 5/5 internal score for long-context processing, this model is designed for reliability when extracting data or analyzing large documents without losing coherence.
The pricing is aggressive, with a blended cost of $0.247/MTok, making it a low-cost option for high-volume production environments. This creates a strong value proposition for developers who need a model that maintains persona consistency and multilingual accuracy without the cost overhead of larger frontier models.
The model's primary limitation is safety calibration, scoring 2/5, which suggests a higher risk of generating unfiltered or non-compliant responses. It also shows moderate weakness in constrained rewriting, indicating it may struggle with strict character counts or rigid formatting constraints during text transformation.
Use this model for complex data extraction, multilingual strategic analysis, and long-context RAG pipelines where cost-efficiency is a priority. Skip this model if your application requires strict safety guardrails or precise, constrained rewriting tasks.
Strengths — Top 3
Relative weaknesses — Bottom 3
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