对比 · 2026-06-29
Kimi K2 Thinking vs GLM-4.7
并排对比 Kimi K2 Thinking（Moonshot AI）与 GLM-4.7（Z.AI / Zhipu）的定价、上下文窗口与能力。
| Kimi K2 Thinking | GLM-4.7 | |
|---|---|---|
| 厂商 | Moonshot AI | Z.AI / Zhipu |
| 输入价格 / 1M token | $0.600 | $0.600 |
| 输出价格 / 1M token | $2.50 | $2.20 |
| 1M token 合计（输入 + 输出） | $3.10 | $2.80 |
| 上下文长度 | 262K | 205K |
| 最大输出 token | 262K | 131K |
| 工具调用 | ✓ 是 | ✓ 是 |
| 结构化输出 | 未公开 | 未公开 |
| 推理 | ✓ 是 | ✓ 是 |
| 图像输入 | ✗ 否 | ✗ 否 |
| 开放权重 | ✓ 是 | ✓ 是 |
| 渠道可用性 | 24 家渠道 | 36 家渠道 |
| 发布日期 | 2025-11-06 | 2025-12-22 |
| 知识截止 | 2024-08 | 2025-04 |
一句话结论
- GLM-4.7 在每百万 token（输入 + 输出合计）成本上便宜约 1.1 倍。
- Kimi K2 Thinking 的上下文窗口更长（262K，对比 205K）。
- GLM-4.7 在更多提供商处可用（36 家 vs 24 家）。
How to read this comparison
This page compares Kimi K2 Thinking and GLM-4.7 on the dimensions that matter most for production LLM selection: per-token cost, context window, declared capabilities (tool calling, structured output, reasoning, vision), and provider availability.
Green highlights in the table indicate which model leads on a given row. "Leads" means lower price or higher context/capability — not necessarily "better for your use case". A model that costs 3× more may still be the right choice if it unlocks a capability you need.
What this comparison does NOT tell you
- Quality / accuracy — we have no benchmark data. Declared capabilities ≠ measured performance.
- Latency — time-to-first-token varies by provider, region and load. Test with your actual traffic.
- Prompt caching savings — if you reuse system prompts, the cheaper model on headline rate may not be cheapest in practice.
- Fine-tuning availability — not all models can be fine-tuned, even if they are open-weight.
Data is refreshed daily. If a model's capabilities or pricing change, this page updates automatically on the next build cycle.
Frequently asked questions
Kimi K2 Thinking 是否比 GLM-4.7 便宜？
Kimi K2 Thinking 的输入价为 $0.600/百万 token + 输出价为 $2.50/百万 token；GLM-4.7 为 $0.600/百万 token（输入）+ $2.20/百万 token（输出）。综合每百万 token 成本更低的是 GLM-4.7。
Kimi K2 Thinking 与 GLM-4.7 谁的上下文更长？
Kimi K2 Thinking 的上下文窗口更长——约 262,144 token vs 204,800 token。
在哪里可以运行 Kimi K2 Thinking 和 GLM-4.7？
Kimi K2 Thinking 在 24 家提供商可用；GLM-4.7 在 36 家提供商可用。完整列表请参见各模型详情页。
Explore more
最近更新：
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.