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: 指令跟随 +29.0 / Relative gap: none clear
Relative edge: none clear / Relative gap: 指令跟随 -29.0
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 · 68.99
Best single
GLM-5 · τ²-Bench - Telecom 98.00
Modality coverage
GLM-5 · 1 modalities
Head to head
8
Benchmarks
7
Wins
0
Losses
+16.69
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.
8 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | GLM-5 | GLM-4.6 |
|---|---|---|
GPQA Diamond 综合评估 | 86.00Thinking Enabled | 82.90Thinking Enabled ｜ Tools |
HLE 综合评估 | 50.40Thinking Enabled ｜ Tools | 30.40Thinking Enabled ｜ Tools |
SWE-bench Verified 编程与软件工程 | 77.80Thinking Enabled | 68.00Standard Mode |
τ²-Bench Agent能力评测 | 89.70Thinking Enabled ｜ Tools | 75.90Thinking Enabled ｜ Tools |
τ²-Bench - Telecom Agent能力评测 | 98.00Thinking Enabled ｜ Tools | 71.00Thinking Enabled ｜ Tools |
2.10Standard Mode | 2.10Standard Mode | |
IF Bench 指令跟随 | 72.00Thinking Enabled ｜ Tools | 43.00Thinking Enabled |
BrowseComp AI Agent - 信息收集 | 75.90Thinking Enabled ｜ Tools | 45.10Thinking Enabled ｜ Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | GLM-5智谱AI | GLM-4.6智谱AI |
|---|---|---|
Core specsRelease | 2026-02-11 | 2025-09-30 |
Context length | 200K | 200K |
Parameters | 7440 | 3550 |
Active parameters | 400 | 320 |
Max output | 131072 | 131072 |
MoE | Yes | Yes |
Supported modes | No mode data | 常规模式（Non-Thinking Mode）思考模式（Thinking Mode） |
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-4.6: Advanced Agentic, Reasoning and Coding Capabilities |
GLM-4.6
智谱AI
