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.
- Reasoning
Added Apr 14, 2026
Pricing
Auto routing · per 1M tokens- Input
- $0.10
- Output
- $0.30
Specifications
- Context window
- 256K
- Max output
- 256K
- Parameters
- 196B / 11B
- Total / active
- Avg output (7d)
- 2.1K tokens
- Longer than 93% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
17.0
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 v1.1
Long context reasoning with updated grading
63.0%
Better than 53% of models compared
Reasoning
HLE
Humanity's Last Exam
24.5%
Better than 72% 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 76% 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
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
63.0%
Better than 53% of models compared
Last updated Oct 15, 2026
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