Comparison · 2026-06-29
Kimi K2 Thinking vs GLM-4.7
Side-by-side comparison of pricing, context window and capabilities for Kimi K2 Thinking (Moonshot AI) and GLM-4.7 (Z.AI / Zhipu).
| Kimi K2 Thinking | GLM-4.7 | |
|---|---|---|
| Vendor | Moonshot AI | Z.AI / Zhipu |
| Input price / 1M tokens | $0.600 | $0.600 |
| Output price / 1M tokens | $2.50 | $2.20 |
| Total per 1M (in + out) | $3.10 | $2.80 |
| Context window | 262K | 205K |
| Max output tokens | 262K | 131K |
| Tool calling | ✓ Yes | ✓ Yes |
| Structured output | Unknown | Unknown |
| Reasoning | ✓ Yes | ✓ Yes |
| Vision input | ✗ No | ✗ No |
| Open weights | ✓ Yes | ✓ Yes |
| Provider availability | 24 providers | 36 providers |
| Release date | 2025-11-06 | 2025-12-22 |
| Knowledge cutoff | 2024-08 | 2025-04 |
Quick takeaway
- GLM-4.7 is 1.1× cheaper per 1M tokens (input + output combined).
- Kimi K2 Thinking has a larger context window (262K vs 205K).
- GLM-4.7 is more widely available across providers (36 vs 24).
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
Is Kimi K2 Thinking cheaper than GLM-4.7?
Kimi K2 Thinking costs $0.600/1M tokens input + $2.50/1M tokens output, while GLM-4.7 costs $0.600/1M tokens input + $2.20/1M tokens output. GLM-4.7 is cheaper per combined 1M tokens.
Which model has a longer context window, Kimi K2 Thinking or GLM-4.7?
Kimi K2 Thinking supports a longer context window — 262,144 tokens vs 204,800 tokens.
Where can I run Kimi K2 Thinking and GLM-4.7?
Kimi K2 Thinking is available on 24 providers; GLM-4.7 is available on 36 providers. See each model's detail page for the full provider list.
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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.