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。

Claude Sonnet 5
Anthropic

GLM-5.2
智谱AI
Each axis is a category average, normalized to a 100-point radar.
Relative edge: 编程与软件工程 +3.8 / Relative gap: 科学与综合推理 -6.1
Relative edge: 科学与综合推理 +6.1 / Relative gap: 编程与软件工程 -3.8
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 · 231.04
Best single
GLM-5.2 · Text Arena (Coding) 1593.25
Modality coverage
Claude Sonnet 5 · 2 modalities
Head to head
9
Benchmarks
4
Wins
4
Losses
-3.48
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.
9 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Claude Sonnet 5 | GLM-5.2 |
|---|---|---|
HLE 综合评估 | 57.40Thinking Level · Extra High | Tools | 54.70Thinking Enabled | Tools |
GPQA Diamond 科学与综合推理 | 90.53Thinking Level · Extra High | 91.86Thinking Level · High |
DeepSWE 编程与软件工程 | 54.00Deep Thinking Mode | Tools | 44.00Deep Thinking Mode | Tools |
Text Arena (Coding) 编程与软件工程 | 1544.16Thinking Level · High | 1593.25Thinking Level · High |
WeirdML v2 编程与软件工程 | 68.78Thinking Level · High | Tools | 67.31Thinking Level · High | Tools |
SimpleBench 常识推理 | 57.90Standard Mode | 58.80Standard Mode |
Terminal-Bench 2.1 AI Agent - 工具使用 | 80.40Thinking Level · Extra High | Tools | 81.00Thinking Level · High | Tools |
29.27Thinking Level · High | 29.27Thinking Level · High | |
FrontierMath v2 数学推理 | 65.61Thinking Level · High | 59.21Thinking Level · High |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | Claude Sonnet 5Anthropic | GLM-5.2智谱AI |
|---|---|---|
Core specsRelease | 2026-06-30 | 2026-06-13 |
Context length | 1M | 1M |
Parameters | — | 7533.3 |
Active parameters | Not provided | 400 |
Max output | 128000 | 128000 |
MoE | No | Yes |
Supported modes | 常规模式(Non-Thinking Mode)思考模式(Thinking Mode)深度思考(Deeper Thinking Mode) | No mode data |
LicenseCode Open Source | Not provided | Closed Source |
Weights Open Source | Not provided | Closed Source |
Commercial use | 不开源 | 免费商用授权 |
Modality supportText Input/Output | / | / |
Image Input/Output | / | Not provided |
ResourcesPaper / report | Introducing Claude Sonnet 5 | GLM-5: from Vibe Coding to Agentic Engineering |