Kimi K2.5 is $0.06 cheaper per 1M input tokens (13.8% lower; 1.16x difference).
API cost decision in 10 seconds
🔥MiMo-V2.5-Pro vs Kimi K2.5
Pick MiMo-V2.5-Pro when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiMo-V2.5-Pro when budget and context both matter.
On the standard 1M input plus 500K output workload, MiMo-V2.5-Pro is estimated at $0.87 vs $1.39 for Kimi K2.5, saving $0.52 (37.3% lower).
Cost-first pickMiMo-V2.5-Pro
Context-first pickMiMo-V2.5-Pro
Sample savings$0.5237.3%
10x traffic gap$5.17
MiMo-V2.5-Pro is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $5.17. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiMo-V2.5-Pro stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiMo-V2.5-Pro | Kimi K2.5 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2.5-Pro | $2.61 | $2.89 |
| Balanced workload | 1M input + 1M output | MiMo-V2.5-Pro | $1.3 | $2.4 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2.5-Pro | $4.78 | $10.5 |
MiMo-V2.5-Pro is $1.15 cheaper per 1M output tokens (57% lower; 2.33x difference).
MiMo-V2.5-Pro has 786.43K more context (4x larger).
MiMo-V2.5-Pro is $0.52 cheaper on the standard workload (37.3% 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
Kimi K2.5 has the lower input price; MiMo-V2.5-Pro has the lower output price; MiMo-V2.5-Pro offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2.5-Pro is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.87 for MiMo-V2.5-Pro and $1.39 for Kimi K2.5.
Choose MiMo-V2.5-Pro when you care most about lower output-token price, and larger context window.
Choose Kimi K2.5 when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, MiMo-V2.5-Pro is estimated at $0.87 vs $1.39 for Kimi K2.5, saving $0.52 (37.3% lower).
- MiMo-V2.5-Pro is $0.52 cheaper on the standard workload (37.3% lower).
- Kimi K2.5 is $0.06 cheaper per 1M input tokens (13.8% lower; 1.16x difference).
- MiMo-V2.5-Pro is $1.15 cheaper per 1M output tokens (57% lower; 2.33x difference).
- MiMo-V2.5-Pro has 786.43K more context (4x larger).
| Feature | 🔥MiMo-V2.5-Pro (Xiaomi) | Kimi K2.5 (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.435 | $0.375 |
| Completion Price per 1M tokens | $0.87 | $2.025 |
| Sample Workload Cost 1M input + 500K output | $0.87 | $1.39 |
| Context Window | 1.05M | 262.14K |
| Release Date | ||
| Popularity | #17 | #38 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiMo-V2.5-Pro | On the standard 1M input plus 500K output workload, MiMo-V2.5-Pro is estimated at $0.87 vs $1.39 for Kimi K2.5, saving $0.52 (37.3% lower). |
| High-volume input processing | Kimi K2.5 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiMo-V2.5-Pro | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiMo-V2.5-Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- MiMo-V2.5 can replace MiMo-V2.5-Pro when lower sample workload cost matters most: $0.24.
- MiMo-V2-Flash can replace MiMo-V2.5-Pro when lower sample workload cost matters most: $0.25.
- Kimi K2.6 (free) can replace Kimi K2.5 when lower sample workload cost matters most: $0.
- Kimi K2.7 Code (free) can replace Kimi K2.5 when lower sample workload cost matters most: $0.
- Llama 4 Scout offers 10M context with $0.25 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- MiMo-V2.5 · Xiaomi · #3
- MiniMax M3 · MiniMax · #4
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Open provider hubsXiaomi catalog
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Open MoonshotAI modelsMiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...