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 Opus 5
Anthropic
Each axis is a category average, normalized to a 100-point radar.
Relative edge: 编程与软件工程 +1.9 / Relative gap: AI Agent - 工具使用 -22.2
Relative edge: AI Agent - 工具使用 +22.2 / Relative gap: 编程与软件工程 -1.9
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
Claude Opus 5 · 505.13
Best single
Claude Opus 5 · GDPval-AA v2 1861.00
Modality coverage
Claude Opus 5 · 2 modalities
Head to head
4
Benchmarks
3
Wins
1
Losses
+18.47
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.
4 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | Claude Opus 5 | GLM-5.3 |
|---|---|---|
HLE 综合评估 | 64.70Thinking Level · High | Tools | 62.50Thinking Level · High | Tools |
DeepSWE 编程与软件工程 | 68.80Thinking Level · High | Tools | 66.90Thinking Level · High | Tools |
Automation Bench AI Agent - 工具使用 | 26.00Thinking Level · High | Tools | 48.20Thinking Level · High | Tools |
GDPval-AA v2 生产力知识 | 1861.00Thinking Level · High | Tools | 1769.00Thinking Level · High | Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | Claude Opus 5Anthropic | GLM-5.3智谱AI |
|---|---|---|
Core specsRelease | 2026-07-24 | 2026-08-14 |
Context length | 1M | 1M |
Parameters | — | 7533.3 |
Max output | 128000 | 128000 |
MoE | No | Yes |
LicenseCode Open Source | Not provided | Not provided |
Weights Open Source | Not provided | Not provided |
Commercial use | 不开源 | Not provided |
Modality supportText Input/Output | / | / |
Image Input/Output | / | Not provided |
ResourcesPaper / report | Introducing Claude Opus 5 | GLM-5.3: Frontier Coding with Emergent Cyber Capabilities |

GLM-5.3
智谱AI