vs
One table to see how kimi-k3.1-pro-highspeed (Moonshot AI) and glm-5.2 (Z.AI) differ. On EasyAPI both use the same endpoint and the same key; only the model name changes.
Quick verdict
- glm-5.2 has the lower input price, 83% cheaper than kimi-k3.1-pro-highspeed.
- glm-5.2 has the lower output price, 89% cheaper than kimi-k3.1-pro-highspeed.
Specs and pricing side by side
| Dimension | kimi-k3.1-pro-highspeed | glm-5.2 |
|---|---|---|
| Provider | Moonshot AI | Z.AI |
| Type | Text | Text |
| Context window | — | 1M |
| Input price | ¥21.32 | ¥3.5468 |
| Output price | ¥111.52 | ¥12.4139 |
| Cache read | ¥1.066 | ¥0.8867 |
| Cache write | ¥21.32 | ¥0 |
| Capabilities | 文本 | Text |
| Endpoints | 2 | 1 |
Platform prices per million tokens (image / video models use their own units); your invoice is authoritative.
kimi-k3.1-pro-highspeed
Kimi K3.1 Pro 是 Kimi K3.1 系列的首款模型，面向长程编程、3D 创作与金融研究等复杂任务。该模型在真实代码库中的问题修复、多步工具调用与端到端项目构建上表现突出，也可处理游戏引擎脚本、三维建模与交互式场景生成。该模型原生支持视觉理解并可接受视频输入，适合图文混合内容的分析与生成。其思考模式常开，允许按需调节推理强度，便于在需要多轮规划、外部工具协作与结果核验的智能体场景中使用。上下文窗口约 100 万 token，可用于大体量代码库、长文档与跨文档核对。该模型提供函数调用与结构化输出支持，可用于对返回格式有严格约束的自动化流程。
glm-5.2
GLM 5.2 is a large-scale reasoning model with a 1M-token context window, suited for long-horizon agents, repo-level coding, and multi-step automation.
FAQ
- Which is cheaper, kimi-k3.1-pro-highspeed or glm-5.2?
- glm-5.2 has the lower input price, 83% cheaper than kimi-k3.1-pro-highspeed.
- Can I call kimi-k3.1-pro-highspeed and glm-5.2 through the same API?
- Yes. Both are served through EasyAPI's OpenAI-compatible API. Point base_url at EasyAPI and swap the model name; no separate vendor accounts needed.
- What are the context windows of kimi-k3.1-pro-highspeed and glm-5.2?
- kimi-k3.1-pro-highspeed: —. glm-5.2: 1M.