Step 3.7 Flash Thinking
Step 3.7 Flash Thinking is StepFun's high-efficiency multimodal MoE model with visible reasoning enabled for deeper agentic coding, long-context reasoning, tool use, and native image/video understanding. ⚠️ Note: This model routes through StepFun, so privacy and logging guarantees may be limited.
- Reasoning
- Vision
- Video Input
- Tool Calling
- Structured Output
Added May 29, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.20
- Output
- $1.15
- Cache read
- $0.040
Specifications
- Context window
- 262.1K
- Max output
- 256K
- Parameters
- 198B / 11B
- Total / active
- Avg output (7d)
- 3K tokens
- Longer than 97% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
19.5
Coding Index
39.6
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
98.5%
Better than 98% of models compared
Harvey LAB-AA
Legal agentic work criterion pass rate
72.7%
Better than 18% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
860 Elo
Better than 39% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
73.7%
Better than 70% of models compared
Reasoning
HLE
Humanity's Last Exam
21.4%
Better than 68% of models compared
IFBench
Instruction-following benchmark
67.3%
Better than 80% of models compared
CritPt
Research-level physics reasoning
2.3%
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
35.6%
Better than 81% of models compared
SciCode
Python programming for scientific computing
43.9%
Better than 35% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
25.8%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
85.0%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
80.9%
Better than 68% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
73.7%
Better than 70% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
17.8%
Last updated Oct 13, 2026, 12:01 AM
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