Qwen3.5-27B is $0.08 cheaper per 1M input tokens (30.1% lower; 1.43x difference).
API cost decision in 10 seconds
MiniMax M2.7 vs Qwen3.5-27B
Pick MiniMax M2.7 for lower cost; pick Qwen3.5-27B 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 MiniMax M2.7 for lower cost; pick Qwen3.5-27B only if the larger context window matters more.
On the standard 1M input plus 500K output workload, MiniMax M2.7 is estimated at $0.88 vs $0.98 for Qwen3.5-27B, saving $0.1 (9.8% lower).
Cost-first pickMiniMax M2.7
Context-first pickQwen3.5-27B
Sample savings$0.19.8%
10x traffic gap$0.96
Qwen3.5-27B has more context, but MiniMax M2.7 saves $0.1 on the standard workload. At 10x that traffic, the same price gap is about $0.96. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Qwen3.5-27B, balanced workload favors MiniMax M2.7, and output-heavy chatbot favors MiniMax M2.7.
| Workload shape | Token mix | Better pick | MiniMax M2.7 | Qwen3.5-27B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.5-27B | $2 | $1.75 |
| Balanced workload | 1M input + 1M output | MiniMax M2.7 | $1.48 | $1.76 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M2.7 | $6.28 | $8 |
MiniMax M2.7 is $0.36 cheaper per 1M output tokens (23.1% lower; 1.3x difference).
Qwen3.5-27B has 57.34K more context (1.28x larger).
MiniMax M2.7 is $0.1 cheaper on the standard workload (9.8% 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
Qwen3.5-27B has the lower input price; MiniMax M2.7 has the lower output price; Qwen3.5-27B 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 $0.88 for MiniMax M2.7 and $0.98 for Qwen3.5-27B.
Choose MiniMax M2.7 when you care most about lower output-token price.
Choose Qwen3.5-27B when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, MiniMax M2.7 is estimated at $0.88 vs $0.98 for Qwen3.5-27B, saving $0.1 (9.8% lower).
- MiniMax M2.7 is $0.1 cheaper on the standard workload (9.8% lower).
- Qwen3.5-27B is $0.08 cheaper per 1M input tokens (30.1% lower; 1.43x difference).
- MiniMax M2.7 is $0.36 cheaper per 1M output tokens (23.1% lower; 1.3x difference).
- Qwen3.5-27B has 57.34K more context (1.28x larger).
| Feature | MiniMax M2.7 (MiniMax) | Qwen3.5-27B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.279 | $0.195 |
| Completion Price per 1M tokens | $1.2 | $1.56 |
| Sample Workload Cost 1M input + 500K output | $0.88 | $0.98 |
| Context Window | 204.8K | 262.14K |
| Release Date |
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 $0.88 vs $0.98 for Qwen3.5-27B, saving $0.1 (9.8% lower). |
| High-volume input processing | Qwen3.5-27B | 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 | Qwen3.5-27B | 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.
- 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
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Open provider hubsMiniMax catalog
Review all tracked MiniMax models before deciding whether this matchup is the right shortlist.
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