GLM 4.7 Flash is $0.54 cheaper per 1M input tokens (90% lower; 10x difference).
API cost decision in 10 seconds
GLM 4.7 Flash vs Kimi K2 Thinking
Pick GLM 4.7 Flash for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GLM 4.7 Flash for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GLM 4.7 Flash is estimated at $0.26 vs $1.85 for Kimi K2 Thinking, saving $1.59 (85.9% lower).
Cost-first pickGLM 4.7 Flash
Context-first pickKimi K2 Thinking
Sample savings$1.5985.9%
10x traffic gap$15.9
Kimi K2 Thinking has more context, but GLM 4.7 Flash saves $1.59 on the standard workload. At 10x that traffic, the same price gap is about $15.9. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GLM 4.7 Flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GLM 4.7 Flash | Kimi K2 Thinking |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GLM 4.7 Flash | $0.5 | $4.25 |
| Balanced workload | 1M input + 1M output | GLM 4.7 Flash | $0.46 | $3.1 |
| Output-heavy chatbot | 1M input + 5M output | GLM 4.7 Flash | $2.06 | $13.1 |
GLM 4.7 Flash is $2.1 cheaper per 1M output tokens (84% lower; 6.25x difference).
Kimi K2 Thinking has 59.39K more context (1.29x larger).
GLM 4.7 Flash is $1.59 cheaper on the standard workload (85.9% 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
GLM 4.7 Flash has the lower input price; GLM 4.7 Flash has the lower output price; Kimi K2 Thinking offers the larger context window. For the 1M input plus 500K output sample, GLM 4.7 Flash is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.26 for GLM 4.7 Flash and $1.85 for Kimi K2 Thinking.
Choose GLM 4.7 Flash when you care most about lower input-token price, and lower output-token price.
Choose Kimi K2 Thinking when you care most about larger context window.
- On the standard 1M input plus 500K output workload, GLM 4.7 Flash is estimated at $0.26 vs $1.85 for Kimi K2 Thinking, saving $1.59 (85.9% lower).
- GLM 4.7 Flash is $1.59 cheaper on the standard workload (85.9% lower).
- GLM 4.7 Flash is $0.54 cheaper per 1M input tokens (90% lower; 10x difference).
- GLM 4.7 Flash is $2.1 cheaper per 1M output tokens (84% lower; 6.25x difference).
- Kimi K2 Thinking has 59.39K more context (1.29x larger).
| Feature | GLM 4.7 Flash (Z.ai) | Kimi K2 Thinking (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.06 | $0.6 |
| Completion Price per 1M tokens | $0.4 | $2.5 |
| Sample Workload Cost 1M input + 500K output | $0.26 | $1.85 |
| Context Window | 202.75K | 262.14K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GLM 4.7 Flash | On the standard 1M input plus 500K output workload, GLM 4.7 Flash is estimated at $0.26 vs $1.85 for Kimi K2 Thinking, saving $1.59 (85.9% lower). |
| High-volume input processing | GLM 4.7 Flash | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GLM 4.7 Flash | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Kimi K2 Thinking | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- GLM 4.5 Air (free) can replace GLM 4.7 Flash when lower sample workload cost matters most: $0.
- GLM 4 32B can replace GLM 4.7 Flash when lower sample workload cost matters most: $0.15.
- Kimi K2.5 can replace Kimi K2 Thinking when lower sample workload cost matters most: $1.35.
- Kimi K2 0711 can replace Kimi K2 Thinking when lower sample workload cost matters most: $1.72.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- No popular competitor is currently available.
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 modelsAs a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...