API cost decision in 10 seconds
Kimi K2 Thinking vs MiniMax M2
Pick MiniMax M2 for lower cost; pick Kimi K2 Thinking 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 for lower cost; pick Kimi K2 Thinking only if the larger context window matters more.
On the standard 1M input plus 500K output workload, MiniMax M2 is estimated at $0.76 vs $1.85 for Kimi K2 Thinking, saving $1.1 (59.2% lower).
Cost-first pickMiniMax M2
Context-first pickKimi K2 Thinking
Sample savings$1.159.2%
10x traffic gap$10.95
Kimi K2 Thinking has more context, but MiniMax M2 saves $1.1 on the standard workload. At 10x that traffic, the same price gap is about $10.95. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiniMax M2 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Kimi K2 Thinking | MiniMax M2 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiniMax M2 | $4.25 | $1.77 |
| Balanced workload | 1M input + 1M output | MiniMax M2 | $3.1 | $1.25 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M2 | $13.1 | $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 has the lower output price, and Kimi K2 Thinking offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.85 for Kimi K2 Thinking and $0.76 for MiniMax M2.
Choose Kimi K2 Thinking when you care most about larger context window.
Choose MiniMax M2 when you care most about lower input-token price, and lower output-token price.
| Feature | Kimi K2 Thinking (MoonshotAI) | MiniMax M2 (MiniMax) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.6 | $0.26 |
| Completion Price per 1M tokens | $2.5 | $1 |
| Sample Workload Cost 1M input + 500K output | $1.85 | $0.76 |
| Context Window | 262.14K | 204.8K |
| Release Date | 2025-11-06 | 2025-10-23 |
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...
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 $1.85 for Kimi K2 Thinking, saving $1.1 (59.2% 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 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Kimi K2 Thinking | A larger context window leaves more room for retrieved passages and source files. |