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 weights

Pricing

Auto routing · per 1M tokens
Input
$0.20
Output
$1.15
Cache read
$0.040
Compare provider prices

Specifications

Context window
262.1K
Max output
256K
Parameters
198B / 11B
Total / active
Avg output (7d)
3K tokens
Longer than 97% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

19.5

Better than 67% of models compared

Coding Index

39.6

Better than 46% of models compared

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

Artificial Analysis

Providers

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