API cost decision in 10 seconds
MiniMax M2.1 vs MiniMax M2
Pick MiniMax M2 when budget is the priority.
Budget verdict
Pick MiniMax M2 when budget is the priority.
On the standard 1M input plus 500K output workload, MiniMax M2 is estimated at $0.76 vs $0.76 for MiniMax M2.1, saving $0.01 (1.3% lower).
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.1. 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 MiniMax M2, balanced workload favors MiniMax M2.1, and output-heavy chatbot favors MiniMax M2.1.
| Workload shape | Token mix | Better pick | MiniMax M2.1 | MiniMax M2 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiniMax M2 | $1.92 | $1.77 |
| Balanced workload | 1M input + 1M output | MiniMax M2.1 | $1.24 | $1.25 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M2.1 | $5.04 | $5.25 |
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 has the lower input price, MiniMax M2.1 has the lower output price, and Tie offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.76 for MiniMax M2.1 and $0.76 for MiniMax M2.
Choose MiniMax M2.1 when you care most about lower output-token price.
Choose MiniMax M2 when you care most about lower input-token price.
| Feature | MiniMax M2.1 (MiniMax) | MiniMax M2 (MiniMax) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.29 | $0.26 |
| Completion Price per 1M tokens | $0.95 | $1 |
| Sample Workload Cost 1M input + 500K output | $0.76 | $0.76 |
| Context Window | 204.8K | 204.8K |
| Release Date | 2025-12-23 | 2025-10-23 |
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiniMax M2 | On the standard 1M input plus 500K output workload, MiniMax M2 is estimated at $0.76 vs $0.76 for MiniMax M2.1, saving $0.01 (1.3% lower). |
| High-volume input processing | MiniMax M2 | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | MiniMax M2.1 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages and source files. |