See key specs and per-benchmark scores for each model/mode. Scroll horizontally for all columns. 当前对比 2 个模型的评测数据与核心参数。

GLM-5.2
智谱AI

Step 3.7 Flash
StepFunAI
Each axis is a category average, normalized to a 100-point radar.
Relative edge: AI Agent - 工具使用 +21.5 / Relative gap: none clear
Relative edge: none clear / Relative gap: AI Agent - 工具使用 -21.5
Method: for each model and benchmark, the chart first averages all scores in the current mode scope instead of taking the best score, then averages those benchmark scores within each category. Only benchmarks with at least two selected models scored are included; missing values are not counted as zero.
Best overall
GLM-5.2 · 65.93
Best single
GLM-5.2 · Terminal-Bench 2.1 81.00
Modality coverage
Step 3.7 Flash · 3 modalities
Head to head
3
Benchmarks
3
Wins
0
Losses
+11.60
Average diff
Compare benchmark results across thinking modes and tool usage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Complete scores for each model/mode across selected benchmarks.
3 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | GLM-5.2 | Step 3.7 Flash |
|---|---|---|
HLE 综合评估 | 54.70Thinking Enabled | Tools | 47.20Thinking Enabled | Tools |
SWE-Bench Pro - Public 编程与软件工程 | 62.10Thinking Enabled | Tools | 56.30Thinking Enabled | Tools |
Terminal-Bench 2.1 AI Agent - 工具使用 | 81.00Thinking Level · High | Tools | 59.50Thinking Enabled | Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | GLM-5.2智谱AI | Step 3.7 FlashStepFunAI |
|---|---|---|
Core specsRelease | 2026-06-13 | 2026-05-29 |
Context length | 1M | 256K |
Parameters | 7533.3 | 1980 |
Active parameters | 400 | 110 |
Max output | 128000 | Not provided |
MoE | Yes | Yes |
Supported modes | No mode data | 常规模式(Non-Thinking Mode)思考模式(Thinking Mode)深度思考(Deeper Thinking Mode) |
LicenseCode Open Source | Closed Source | Not provided |
Weights Open Source | Closed Source | Not provided |
Commercial use | 免费商用授权 | 免费商用授权 |
Modality supportText Input/Output | / | / |
Image Input/Output | Not provided | / |
Video Input/Output | Not provided | / |
ResourcesPaper / report | GLM-5: from Vibe Coding to Agentic Engineering | Step 3.7 Flash — A high-efficiency Flash model for Real-World Agents |