MiniMax M2.7 is $0.72 cheaper per 1M input tokens (73.5% lower; 3.77x difference).
API cost decision in 10 seconds
🔥MiniMax M2.7 vs 🔥GLM 5.1
Pick MiniMax M2.7 for lower cost; pick GLM 5.1 only if the larger context window matters more.
Budget verdict
Pick MiniMax M2.7 for lower cost; pick GLM 5.1 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, MiniMax M2.7 is estimated at $0.86 vs $2.52 for GLM 5.1, saving $1.66 (65.9% lower).
GLM 5.1 has more context, but MiniMax M2.7 saves $1.66 on the standard workload. At 10x that traffic, the same price gap is about $16.6. Use the calculator below to replace the sample workload with your own token volume.
MiniMax M2.7 is $1.88 cheaper per 1M output tokens (61% lower; 2.57x difference).
GLM 5.1 has 6.14K more context (1.03x larger).
MiniMax M2.7 is $1.66 cheaper on the standard workload (65.9% 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
MiniMax M2.7 has the lower input price; MiniMax M2.7 has the lower output price; GLM 5.1 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 $0.86 for MiniMax M2.7 and $2.52 for GLM 5.1.
Choose MiniMax M2.7 when you care most about lower input-token price, and lower output-token price.
Choose GLM 5.1 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, MiniMax M2.7 is estimated at $0.86 vs $2.52 for GLM 5.1, saving $1.66 (65.9% lower).
- MiniMax M2.7 is $1.66 cheaper on the standard workload (65.9% lower).
- MiniMax M2.7 is $0.72 cheaper per 1M input tokens (73.5% lower; 3.77x difference).
- MiniMax M2.7 is $1.88 cheaper per 1M output tokens (61% lower; 2.57x difference).
- GLM 5.1 has 6.14K more context (1.03x larger).
| Feature | 🔥MiniMax M2.7 (MiniMax) | 🔥GLM 5.1 (Z.ai) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.26 | $0.98 |
| Completion Price per 1M tokens | $1.2 | $3.08 |
| Sample Workload Cost 1M input + 500K output | $0.86 | $2.52 |
| Context Window | 196.61K | 202.75K |
| Release Date | ||
| Popularity Rank current rank | #12 | #20 |
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 $0.86 vs $2.52 for GLM 5.1, saving $1.66 (65.9% 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 5.1 | 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: $0.72.
- MiniMax-01 can replace MiniMax M2.7 when lower sample workload cost matters most: $0.75.
- MiniMax M2 can replace MiniMax M2.7 when lower sample workload cost matters most: $0.76.
- Grok 4.1 Fast offers 2M context with $0.45 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Grok 4 Fast offers 2M context with $0.45 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Hy3 preview · Tencent · #1
- Claude Opus 4.7 · Anthropic · #2
- Claude Sonnet 4.6 · Anthropic · #3
- DeepSeek V4 Flash · DeepSeek · #4
Cheaper alternatives
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