vs
One table to see how kimi-k2-thinking (Moonshot AI) and glm-5.3-flash (Z.AI) differ. On EasyAPI both use the same endpoint and the same key; only the model name changes.
Quick verdict
- glm-5.3-flash has the lower input price, 76% cheaper than kimi-k2-thinking.
- glm-5.3-flash has the lower output price, 81% cheaper than kimi-k2-thinking.
Specs and pricing side by side
| Dimension | kimi-k2-thinking | glm-5.3-flash |
|---|---|---|
| Provider | Moonshot AI | Z.AI |
| Type | Text | Text |
| Input price | ¥3.4119 | ¥0.8028 |
| Output price | ¥14.2163 | ¥2.676 |
| Cache read | ¥0.853 | ¥0.1606 |
| Cache write | ¥0 | — |
| Capabilities | 文本 | 文本 · 多模态 |
| Endpoints | 1 | 1 |
Platform prices per million tokens (image / video models use their own units); your invoice is authoritative.
kimi-k2-thinking
开源思考型模型，擅长长链推理与连续工具调用，可稳定执行数百步自主研究、编码与多轮智能体任务，适合复杂分析与 Agent 工作流。
glm-5.3-flash
GLM-5.3 系列 Flash 档，原生多模态，面向高效编程与长链路 Agent，长上下文稳定，适合生产级应用。
FAQ
- Which is cheaper, kimi-k2-thinking or glm-5.3-flash?
- glm-5.3-flash has the lower input price, 76% cheaper than kimi-k2-thinking.
- Can I call kimi-k2-thinking and glm-5.3-flash 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.