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。
Gemma 4 31B（稠密旗舰模型）
GLM-5
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
Best Overall
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Best Single
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Thinking Mode (Default)
GLM-5 · 1 Modality support
Higher is usually better; “—” means no score.
Complete scores for each model/mode across selected benchmarks.
Feature compare
Licensing, MoE architecture, and multi-modality support.
| Features & specs | GE Gemma 4 31BDeepMind | GL GLM-5智谱AI |
|---|---|---|
Model snapshots | ||
Organization | DeepMind | 智谱AI |
模型全名 | Gemma 4 31B（稠密旗舰模型） | GLM-5 |
模型简介 | Not provided | Not provided |
模型类型 | 聊天大模型 | 聊天大模型 |
模型代号 | google-gemma-4-31b | glm-5 |
Release | 2026-04-02 | 2026-02-11 |
MoE | No | Yes |
规格与性能 | ||
Context length | 256K | 200K |
Parameters | 31 | 7440 |
激活参数量 | 31 | 400 |
模型规模 | 3b | 100b |
模型大小 | Not provided | 1.51TB |
推理速度 | Not provided | |
推理等级 | Not provided | |
最大输出 | 32768 | 131072 |
Supported modes | No mode data | No mode data |
开源与许可 | ||
Code Open Source | Not provided | Not provided |
Weights Open Source | Not provided | Closed Source |
Commercial use | 免费商用授权 | 免费商用授权 |
Modality support | ||
Text Input/Output | Not provided | / |
Image Input/Output | Not provided | Not provided |
Audio Input/Output | Not provided | Not provided |
Video Input/Output | Not provided | Not provided |
Embedding Input/Output | Not provided | Not provided |
API 接口详情 | ||
Text 价格 | Not provided | Input: $1 / 1M tokensOutput: $3.2 / 1M tokensCache: $0.2 / 1M tokens |
Image API pricing | Not provided | Not provided |
Audio API pricing | Not provided | Not provided |
Video API pricing | Not provided | Not provided |
Embedding API pricing | Not provided | Not provided |
Resources | ||
GitHub | Not provided | Repo |
Hugging Face | Model Page | Model Page |
Official Page | Not provided | Not provided |
Guides | Not provided | Not provided |
Papers | Gemma 4: Byte for byte, the most capable open models | GLM-5: From Vibe Coding to Agentic Engineering |
DataLearnerAI | Google Gemma 4 正式开源：Apache 2.0 协议、手机端可运行、原生支持多模态和 Agent 工作流 | Not provided |
API pricing
Side-by-side input/output token pricing
