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.
Added May 29, 2026
Model weightsContext Window
262.1K
Max Output
256.0K
Avg output tokens (7d)
5.0K tokens
Input Price (Auto)
$0.20/1M
Output Price (Auto)
$1.15/1M
Cache Read (Auto)
$0.040/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
30.9
Coding Index
39.6
Agentic Index
21.7
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
80.9%
Better than 77% of models compared
HLE
Humanity's Last Exam
21.4%
Better than 85% of models compared
IFBench
Instruction-following benchmark
67.3%
Better than 81% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
98.5%
Better than 98% of models compared
AA-LCR
Long context reasoning evaluation
69.7%
Better than 95% of models compared
GDPval-AA
Economically valuable tasks
25.9%
CritPt
Research-level physics reasoning
2.3%
Coding
SciCode
Python programming for scientific computing
40.0%
Better than 78% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
35.6%
Better than 83% 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%
Last updated Aug 7, 2026, 12:00 PM
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