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
智谱AI
Each axis is a category average, normalized to a 100-point radar.
Relative edge: none clear / Relative gap: AI Agent - 信息收集 -10.3
Relative edge: AI Agent - 信息收集 +10.3 / Relative gap: none clear
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 5.1 · 75.80
Best single
GLM 5.1 · AIME 2026 95.30
Modality coverage
GLM-5 · 1 modalities
Head to head
7
Benchmarks
0
Wins
7
Losses
-1.88
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.
7 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | GLM-5 | GLM 5.1 |
|---|---|---|
GPQA Diamond 综合评估 | 86.00Thinking Enabled | 86.20Thinking Enabled |
HLE 综合评估 | 50.40Thinking Enabled | Tools | 52.30Thinking Enabled | Tools |
LiveBench 综合评估 | 68.85Standard Mode | 70.18Standard Mode |
AIME 2026 数学推理 | 92.70Thinking Enabled | 95.30Thinking Enabled |
IMO-AnswerBench 数学推理 | 82.50Thinking Enabled | 83.80Thinking Enabled |
BrowseComp AI Agent - 信息收集 | 75.90Thinking Enabled | Tools | 79.30Thinking Enabled | Tools |
Terminal Bench 2.0 AI Agent - 工具使用 | 61.10Thinking Enabled | Tools | 63.50Thinking Enabled | Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | GLM-5智谱AI | GLM 5.1智谱AI |
|---|---|---|
Core specsRelease | 2026-02-11 | 2026-03-27 |
Context length | 200K | 200K |
Parameters | 7440 | 754 |
Active parameters | 400 | 40 |
Max output | 131072 | 128000 |
MoE | Yes | Yes |
LicenseCode Open Source | Not provided | Closed Source |
Weights Open Source | Closed Source | Closed Source |
Commercial use | 免费商用授权 | 免费商用授权 |
Modality supportText Input/Output | / | / |
ResourcesPaper / report | GLM-5: From Vibe Coding to Agentic Engineering | GLM-5.1: Towards Long-Horizon Tasks |

GLM 5.1
智谱AI