MiniMax M2.7 is $0.96 cheaper per 1M input tokens (80% lower; 5x difference).
API cost decision in 10 seconds
MiniMax M2.7 vs GLM 5 Turbo
Pick MiniMax M2.7 for lower cost; pick GLM 5 Turbo only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiniMax M2.7 for lower cost; pick GLM 5 Turbo only if the larger context window matters more.
On the standard 1M input plus 500K output workload, MiniMax M2.7 is estimated at $0.72 vs $3.2 for GLM 5 Turbo, saving $2.48 (77.5% lower).
Cost-first pickMiniMax M2.7
Context-first pickGLM 5 Turbo
Sample savings$2.4877.5%
10x traffic gap$24.8
GLM 5 Turbo has more context, but MiniMax M2.7 saves $2.48 on the standard workload. At 10x that traffic, the same price gap is about $24.8. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiniMax M2.7 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiniMax M2.7 | GLM 5 Turbo |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiniMax M2.7 | $1.68 | $8 |
| Balanced workload | 1M input + 1M output | MiniMax M2.7 | $1.2 | $5.2 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M2.7 | $5.04 | $21.2 |
MiniMax M2.7 is $3.04 cheaper per 1M output tokens (76% lower; 4.17x difference).
GLM 5 Turbo has 57.34K more context (1.28x larger).
MiniMax M2.7 is $2.48 cheaper on the standard workload (77.5% 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
MiniMax M2.7 has the lower input price; MiniMax M2.7 has the lower output price; GLM 5 Turbo offers the larger context window. For the 1M input plus 500K output sample, MiniMax M2.7 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.72 for MiniMax M2.7 and $3.2 for GLM 5 Turbo.
Choose MiniMax M2.7 when you care most about lower input-token price, and lower output-token price.
Choose GLM 5 Turbo when you care most about larger context window.
- On the standard 1M input plus 500K output workload, MiniMax M2.7 is estimated at $0.72 vs $3.2 for GLM 5 Turbo, saving $2.48 (77.5% lower).
- MiniMax M2.7 is $2.48 cheaper on the standard workload (77.5% lower).
- MiniMax M2.7 is $0.96 cheaper per 1M input tokens (80% lower; 5x difference).
- MiniMax M2.7 is $3.04 cheaper per 1M output tokens (76% lower; 4.17x difference).
- GLM 5 Turbo has 57.34K more context (1.28x larger).
| Feature | MiniMax M2.7 (MiniMax) | GLM 5 Turbo (Z.ai) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.24 | $1.2 |
| Completion Price per 1M tokens | $0.96 | $4 |
| Sample Workload Cost 1M input + 500K output | $0.72 | $3.2 |
| Context Window | 204.8K | 262.14K |
| Release Date | ||
| Popularity | #25 | #104 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiniMax M2.7 | On the standard 1M input plus 500K output workload, MiniMax M2.7 is estimated at $0.72 vs $3.2 for GLM 5 Turbo, saving $2.48 (77.5% lower). |
| High-volume input processing | MiniMax M2.7 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiniMax M2.7 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GLM 5 Turbo | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- MiniMax M2.5 (free) can replace MiniMax M2.7 when lower sample workload cost matters most: $0.
- MiniMax M2.5 can replace MiniMax M2.7 when lower sample workload cost matters most: $0.6.
- GLM 4.5 Air (free) can replace GLM 5 Turbo when lower sample workload cost matters most: $0.
- GLM 4 32B can replace GLM 5 Turbo when lower sample workload cost matters most: $0.15.
- Llama 4 Scout offers 10M context with $0.25 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- GPT-5.6 Luna Pro offers 1.05M context with $4 sample workload cost.
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