GLM 5.2 vs Kimi K3
Price, context and benchmark scores side by side — every number from the live model catalogue.
| GLM 5.2z-ai | Kimi K3moonshotai | |
|---|---|---|
| Input / 1M tokens | $0.741 | $3.00 |
| Output / 1M tokens | $2.33 | $15.00 |
| 1M in + 300K out | $1.44 | $7.50 |
| Context window | 1.0M | 1.0M |
| Intelligence index | 51.1 | 57.1 |
| Coding index | 68.8 | 76.2 |
| Agentic index | 43.1 | 50.1 |
| Cheapest provider | StreamLake | BaseTen |
| Providers serving it | 29 | 6 |
| Weights | Open | Open |
| Image input | No | Yes |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
| Released | Jun 16, 2026 | Jul 16, 2026 |
Which one to pick
Pick GLM 5.2 if…
- Token cost matters: $2.33 per 1M output vs $15.00.
- You want provider redundancy: 29 providers serve it.
Pick Kimi K3 if…
- You want the higher general-intelligence score (57.1).
- Code quality is the priority — it leads on the coding index (76.2).
- You are running agent loops — higher agentic index (50.1).
- You need the bigger context window (1.0M).
FAQ
Is GLM 5.2 better than Kimi K3?
Kimi K3 scores higher on general intelligence (51.1 vs 57.1), while GLM 5.2 is 6.4× cheaper per output token ($2.33 vs $15.00). For code, Kimi K3 leads (76.2 coding index). Kimi K3 takes the larger context at 1.0M.
Which is cheaper, GLM 5.2 or Kimi K3?
GLM 5.2, at $2.33 per 1M output tokens versus $15.00. On a 1M input + 300K output workload that is $1.44 against $7.50.
Can I self-host GLM 5.2 or Kimi K3?
GLM 5.2: open weights (zai-org/GLM-5.2). Kimi K3: open weights (moonshotai/Kimi-K3).