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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
Kimi K2.5
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
Performance benchmarks
Compare benchmark results across thinking modes and tool usage.
Best Overall
GLM-5 · 67.56
Best Single
GLM-5 · AIME 2026 92.70
Thinking Mode (Default)
GLM-5 · 1 All Modes
Higher is usually better; “—” means no score.
Complete scores for each model/mode across selected benchmarks.
Higher is usually better; “—” means no score.
| Benchmark | GL GLM-5智谱AI | KI Kimi K2.5Moonshot AI |
|---|---|---|
| 综合评估 | ||
GPQA Diamond | 86.00 | 87.60 |
HLE | 30.50 | 30.10 |
| 编程与软件工程 | ||
SWE-bench Verified | 77.80 | 76.80 |
| AI Agent - 信息收集 | ||
BrowseComp | 62.00 | 60.60 |
| 数学推理 | ||
AIME 2026 | 92.70 | 92.50 |
IMO-AnswerBench | 82.50 | 81.80 |
| 生产力知识 | ||
GDPval-AA | 46.00 | 40.00 |
| 长上下文能力 | ||
AA-LCR | 63.00 | 65.00 |
Feature compare
Licensing, MoE architecture, and multi-modality support.
| Features & specs | GL GLM-5智谱AI | KI Kimi K2.5Moonshot AI |
|---|---|---|
Model snapshots | ||
Organization | 智谱AI | Moonshot AI |
模型全名 | GLM-5 | Kimi K2.5 |
模型简介 | Not provided | Not provided |
模型类型 | 聊天大模型 | 多模态大模型 |
模型代号 | glm-5 | kimi-k2-5 |
Release | 2026-02-11 | 2026-01-27 |
MoE | Yes | Yes |
规格与性能 | ||
Context length | 200K | 256K |
Parameters | 7440 | 10000 |
激活参数量 | 400 | 320 |
模型规模 | 100b | 100b |
模型大小 | 1.51TB | 595GB |
推理速度 | ||
推理等级 | ||
最大输出 | 131072 | 16384 |
Supported modes | 常规模式（Non-Thinking Mode）思考模式（Thinking Mode） | 常规模式（Non-Thinking Mode）思考模式（Thinking Mode） |
开源与许可 | ||
Code Open Source | Not provided | Not provided |
Weights Open Source | Closed Source | Not provided |
Commercial use | 免费商用授权 | 免费商用授权 |
Modality support | ||
Text Input/Output | / | / |
Image Input/Output | Not provided | / |
Audio Input/Output | Not provided | / |
Video Input/Output | Not provided | / |
Embedding Input/Output | Not provided | / |
API 接口详情 | ||
Text 价格 | Input: $1 / 1M tokensOutput: $3.2 / 1M tokensCache: $0.2 / 1M tokens | Input: 0.6 美元/100 万tokensOutput: 3 美元/100 万tokensCache: 0.1 美元/100 万tokens |
Image API pricing | Not provided | Input: 0.6 美元/100 万tokensCache: 0.1 美元/100 万tokens |
Audio API pricing | Not provided | Not provided |
Video API pricing | Not provided | Not provided |
Embedding API pricing | Not provided | Not provided |
Resources | ||
GitHub | Repo | Repo |
Hugging Face | Model Page | Model Page |
Official Page | Not provided | Not provided |
Guides | Not provided | Not provided |
Papers | GLM-5: From Vibe Coding to Agentic Engineering | Kimi K2.5: Visual Agentic Intelligence |
DataLearnerAI | Not provided | 重磅！Kimi K2.5发布，依然免费开源！原生多模态MoE架构，全球最大规模参数的开源模型之一，官方评测结果比肩诸多闭源模型！可以驱动100个子Agent执行！ |
API pricing
Side-by-side input/output token pricing