DeepSeek V3.2 is $0.03 cheaper per 1M input tokens (9.7% lower; 1.11x difference).
API cost decision in 10 seconds
MiniMax M2.7 vs DeepSeek V3.2
Pick DeepSeek V3.2 for lower cost; pick MiniMax M2.7 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 DeepSeek V3.2 for lower cost; pick MiniMax M2.7 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $0.88 for MiniMax M2.7, saving $0.44 (49.8% lower).
Cost-first pickDeepSeek V3.2
Context-first pickMiniMax M2.7
Sample savings$0.4449.8%
10x traffic gap$4.38
MiniMax M2.7 has more context, but DeepSeek V3.2 saves $0.44 on the standard workload. At 10x that traffic, the same price gap is about $4.38. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
DeepSeek V3.2 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiniMax M2.7 | DeepSeek V3.2 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek V3.2 | $2 | $1.45 |
| Balanced workload | 1M input + 1M output | DeepSeek V3.2 | $1.48 | $0.63 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V3.2 | $6.28 | $2.14 |
DeepSeek V3.2 is $0.82 cheaper per 1M output tokens (68.5% lower; 3.17x difference).
MiniMax M2.7 has 73.73K more context (1.56x larger).
DeepSeek V3.2 is $0.44 cheaper on the standard workload (49.8% 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
DeepSeek V3.2 has the lower input price; DeepSeek V3.2 has the lower output price; MiniMax M2.7 offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V3.2 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 $0.44 for DeepSeek V3.2.
Choose MiniMax M2.7 when you care most about larger context window.
Choose DeepSeek V3.2 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $0.88 for MiniMax M2.7, saving $0.44 (49.8% lower).
- DeepSeek V3.2 is $0.44 cheaper on the standard workload (49.8% lower).
- DeepSeek V3.2 is $0.03 cheaper per 1M input tokens (9.7% lower; 1.11x difference).
- DeepSeek V3.2 is $0.82 cheaper per 1M output tokens (68.5% lower; 3.17x difference).
- MiniMax M2.7 has 73.73K more context (1.56x larger).
| Feature | MiniMax M2.7 (MiniMax) | DeepSeek V3.2 (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.279 | $0.252 |
| Completion Price per 1M tokens | $1.2 | $0.378 |
| Sample Workload Cost 1M input + 500K output | $0.88 | $0.44 |
| Context Window | 204.8K | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V3.2 | On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $0.88 for MiniMax M2.7, saving $0.44 (49.8% lower). |
| High-volume input processing | DeepSeek V3.2 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | DeepSeek V3.2 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiniMax M2.7 | 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
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 hubsMiniMax catalog
Review all tracked MiniMax models before deciding whether this matchup is the right shortlist.
Open MiniMax modelsDeepSeek catalog
Check other DeepSeek models with comparable pricing, context, or release timing.
Open DeepSeek modelsMiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...