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。

DeepSeek-V4-Pro
DeepSeek-AI

GLM 5.1
智谱AI
Each axis is a category average, normalized to a 100-point radar.
Relative edge: AI Agent - 信息收集 +2.6 / Relative gap: 数学推理 -12.8
Relative edge: 数学推理 +12.8 / Relative gap: AI Agent - 信息收集 -2.6
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
DeepSeek-V4-Pro · 72.47
Best single
DeepSeek-V4-Pro · GPQA Diamond 90.10
Modality coverage
DeepSeek-V4-Pro · 2 modalities
Head to head
6
Benchmarks
4
Wins
2
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.
6 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | DeepSeek-V4-Pro | GLM 5.1 |
|---|---|---|
GPQA Diamond 综合评估 | 90.10Thinking Level · High | 86.20Thinking Enabled |
HLE 综合评估 | 48.20Thinking Level · Extra High | Tools | 52.30Thinking Enabled | Tools |
SWE-Bench Pro - Public 编程与软件工程 | 55.40Thinking Level · Extra High | Tools | 58.40Thinking Enabled | Tools |
BrowseComp AI Agent - 信息收集 | 83.40Thinking Level · Extra High | Tools | 79.30Thinking Enabled | Tools |
Terminal Bench 2.0 AI Agent - 工具使用 | 67.90Thinking Level · Extra High | Tools | 63.50Thinking Enabled | Tools |
IMO-AnswerBench 数学推理 | 89.80Thinking Level · High | 83.80Thinking Enabled |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | DeepSeek-V4-ProDeepSeek-AI | GLM 5.1智谱AI |
|---|---|---|
Core specsRelease | 2026-04-24 | 2026-03-27 |
Context length | 1M | 200K |
Parameters | 16000 | 754 |
Active parameters | 490 | 40 |
Max output | 384000 | 128000 |
MoE | Yes | Yes |
LicenseCode Open Source | Closed Source | 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 | / | / |
Image Input/Output | / | Not provided |
ResourcesPaper / report | DeepSeek-V4 Technical Report | GLM-5.1: Towards Long-Horizon Tasks |