Step 3.7 Flash Benchmark Details

Step 3.7 Flash currently shows benchmark results led by HLE (46 / 197, score 47.20), SimpleVQA (1 / 3, score 79.20), SWE-Bench Pro - Public (28 / 62, score 56.30). This page also compares it with 3 competitor models and 2 predecessor or same-series models, including performance and pricing views when available.

Benchmark Results

Step 3.7 Flash

Benchmark Results

General Knowledge

1 evaluations

Benchmark / mode

Score

Rank/total

HLE

Thinking EnabledTools

47.20

46 / 197

Multimodal Understanding

1 evaluations

Benchmark / mode

Score

Rank/total

SimpleVQA

Thinking EnabledTools

79.20

1 / 3

Coding and Software Engineer

1 evaluations

Benchmark / mode

Score

Rank/total

SWE-Bench Pro - Public

Thinking EnabledTools

56.30

28 / 62

AI Agent - Information Search

1 evaluations

Benchmark / mode

Score

Rank/total

BrowseComp

Thinking EnabledTools

75.82

27 / 57

Text Embedding

3 evaluations

Benchmark / mode

Score

Rank/total

Context Arena

Thinking Level · Low

33.97

108 / 126

Context Arena

Thinking Level · Medium

37.65

101 / 126

Context Arena

Thinking Level · High

35.33

104 / 126

AI Agent - Tool Usage

1 evaluations

Benchmark / mode

Score

Rank/total

Terminal-Bench 2.1

Thinking EnabledTools

59.50

45 / 53

Compare with other models

Competitor Comparison

Benchmark scores for Step 3.7 Flash compared against top models in its class

Step 3.7 FlashGLM-5.2 MiniMax M3 Qwen3.6-35B-A3B

Benchmark categories:

The chart shows each model’s highest score per benchmark within the current filter. Out-of-100 benchmarks use raw heights; out-of-range benchmarks are scaled within that benchmark while labels keep the original scores.

5 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.

Benchmark	Step 3.7 FlashCurrent	GLM-5.2	MiniMax M3	Qwen3.6-35B-A3B
HLE Accuracy 综合评估	47.20Thinking Enabled ｜ Tools	54.70Thinking Enabled ｜ Tools	--	21.40Thinking Enabled
SWE-Bench Pro - Public Accuracy 编程与软件工程	56.30Thinking Enabled ｜ Tools	62.10Thinking Enabled ｜ Tools	59.00Thinking Enabled ｜ Tools	49.50Thinking Enabled
BrowseComp Accuracy AI Agent - 信息收集	75.82Thinking Enabled ｜ Tools	--	83.50Thinking Enabled ｜ Tools	--
Context Arena Accuracy (8 needles, 4K-128K context) 文本向量检索	37.65Thinking Level · Medium	72.34Thinking Level · High	51.15Thinking Enabled	83.53Thinking Enabled
Terminal-Bench 2.1 Accuracy AI Agent - 工具使用	59.50Thinking Enabled ｜ Tools	81.00Thinking Level · High ｜ Tools	66.00Thinking Enabled ｜ Tools	--

Standard API Pricing: Step 3.7 Flash vs. Peer Models

Shows standard text input and output pricing side by side for each model. If extended-context pricing exists, the chart keeps the base rate and explains the threshold below.

Source: DataLearnerAI. Standard text prices shown here use the default supplier.

These models use different currencies or billing units, so the page falls back to raw price values instead of a shared bar chart.

Step 3.7 Flash

Supplier: StepFunAI

Standard input: ¥1.35 / 1M tokens

Standard output: ¥8.1 / 1M tokens

GLM-5.2

Supplier: 智谱AI

Standard input: $1.4 / 1M tokens

Standard output: $4.4 / 1M tokens

MiniMax M3

Supplier: MiniMaxAI

Standard input: ¥2.1 / 1M tokens

Standard output: ¥8.4 / 1M tokens

Model	Supplier	Standard input	Standard output	Base price applies to
Step 3.7 Flash	StepFunAI	¥1.35 / 1M tokens	¥8.1 / 1M tokens	—
GLM-5.2	智谱AI	$1.4 / 1M tokens	$4.4 / 1M tokens	—
MiniMax M3	MiniMaxAI	¥2.1 / 1M tokens	¥8.4 / 1M tokens	—

Version History

How each version of the Step 3.7 Flash series stacks up on benchmark tests

Step 3.7 FlashStep 3.5 Flash Step3

Benchmark categories:

2 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.· Click a row to view its trend chart.

Benchmark	Step 3.7 FlashCurrent	Step 3.5 Flash	Step3
SimpleVQA Accuracy 多模态理解	79.20Thinking Enabled ｜ Tools	--	62.20Standard Mode
BrowseComp Accuracy AI Agent - 信息收集	75.82Thinking Enabled ｜ Tools	69.00Thinking Enabled ｜ Tools	--

Single-Benchmark Version Trend

Viewing: SimpleVQA · 多模态理解

Benchmark

NormalNormal + ToolsThinkingThinking + ToolsDeepDeep + Tools

X-axis shows model and release date, Y-axis shows score; solid lines connect the same mode across versions, while dotted guides align modes within the same generation.

Standard API Pricing Across the Step 3.7 Flash Series

Shows standard text input and output pricing side by side for each model. If extended-context pricing exists, the chart keeps the base rate and explains the threshold below.

Source: DataLearnerAI. Standard text prices shown here use the default supplier. · CNY / 1M tokens

Model	Supplier	Standard input	Standard output	Base price applies to
Step 3.7 Flash	StepFunAI	¥1.35 / 1M tokens	¥8.1 / 1M tokens	—