Kimi K2.6 is $0.02 cheaper per 1M input tokens (1.7% lower; 1.02x difference).
API cost decision in 10 seconds
🔥GLM 5.2 vs Kimi K2.6
Pick GLM 5.2 when budget and context both matter.
Budget verdict
Pick GLM 5.2 when budget and context both matter.
On the standard 1M input plus 500K output workload, GLM 5.2 is estimated at $2.48 vs $2.95 for Kimi K2.6, saving $0.47 (15.8% lower).
GLM 5.2 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4.66. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GLM 5.2 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GLM 5.2 | Kimi K2.6 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GLM 5.2 | $6.35 | $6.75 |
| Balanced workload | 1M input + 1M output | GLM 5.2 | $4 | $4.95 |
| Output-heavy chatbot | 1M input + 5M output | GLM 5.2 | $16.15 | $20.95 |
GLM 5.2 is $0.96 cheaper per 1M output tokens (24.1% lower; 1.32x difference).
GLM 5.2 has 786.43K more context (4x larger).
GLM 5.2 is $0.47 cheaper on the standard workload (15.8% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Kimi K2.6 has the lower input price; GLM 5.2 has the lower output price; GLM 5.2 offers the larger context window. For the 1M input plus 500K output sample, GLM 5.2 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $2.48 for GLM 5.2 and $2.95 for Kimi K2.6.
Choose GLM 5.2 when you care most about lower output-token price, and larger context window.
Choose Kimi K2.6 when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, GLM 5.2 is estimated at $2.48 vs $2.95 for Kimi K2.6, saving $0.47 (15.8% lower).
- GLM 5.2 is $0.47 cheaper on the standard workload (15.8% lower).
- Kimi K2.6 is $0.02 cheaper per 1M input tokens (1.7% lower; 1.02x difference).
- GLM 5.2 is $0.96 cheaper per 1M output tokens (24.1% lower; 1.32x difference).
- GLM 5.2 has 786.43K more context (4x larger).
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GLM 5.2 | On the standard 1M input plus 500K output workload, GLM 5.2 is estimated at $2.48 vs $2.95 for Kimi K2.6, saving $0.47 (15.8% lower). |
| High-volume input processing | Kimi K2.6 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GLM 5.2 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GLM 5.2 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- GLM 5.2 (free) can replace GLM 5.2 when lower sample workload cost matters most: $0.
- GLM 4.5 Air (free) can replace GLM 5.2 when lower sample workload cost matters most: $0.
- GLM 4 32B can replace GLM 5.2 when lower sample workload cost matters most: $0.15.
- GLM 4.7 Flash can replace GLM 5.2 when lower sample workload cost matters most: $0.26.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsZ.ai catalog
Review all tracked Z.ai models before deciding whether this matchup is the right shortlist.
Open Z.ai modelsMoonshotAI catalog
Check other MoonshotAI models with comparable pricing, context, or release timing.
Open MoonshotAI modelsGLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...