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Step 3.5 Flash 2603

stepfun-ai/step-3.5-flash-2603
Provider logo

Step 3.5 Flash 2603

stepfun-ai/step-3.5-flash-2603

Step 3.5 Flash 2603 is optimized for high-frequency agentic and coding workflows with improved token efficiency and faster reasoning. NOTE: This model runs via StepFun, which may log and train on your prompts.

Added Apr 14, 2026

Context Window

256.0K

Max Output

256.0K

Avg output tokens (7d)

3.2K tokens

97%

Input Price (Auto)

$0.10/1M

Output Price (Auto)

$0.30/1M

Cache Read (Auto)

$0.050/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

87.4%

Better than 81% of models compared

Document reasoning

AA-LCR (unversioned / legacy)

Legacy fallback · Long context reasoning evaluation

63.0%

Better than 57% of models compared

Reasoning

HLE

Humanity's Last Exam

24.5%

Better than 76% of models compared

IFBench

Instruction-following benchmark

66.5%

Better than 79% of models compared

CritPt

Research-level physics reasoning

2.3%

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

32.6%

Better than 77% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

24.6%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

91.3%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

82.6%

Better than 71% of models compared

Last updated Sep 5, 2026, 12:00 AM

Artificial Analysis

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