MiMo-V2.5 is $0.16 cheaper per 1M input tokens (53.3% lower; 2.14x difference).
API cost decision in 10 seconds
MiMo-V2.5 vs Nano Banana (Gemini 2.5 Flash Image)
Pick MiMo-V2.5 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 when budget and context both matter.
On the standard 1M input plus 500K output workload, MiMo-V2.5 is estimated at $0.28 vs $1.55 for Nano Banana (Gemini 2.5 Flash Image), saving $1.27 (81.9% lower).
Cost-first pickMiMo-V2.5
Context-first pickMiMo-V2.5
Sample savings$1.2781.9%
10x traffic gap$12.7
MiMo-V2.5 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $12.7. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiMo-V2.5 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiMo-V2.5 | Nano Banana (Gemini 2.5 Flash Image) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2.5 | $0.84 | $2.75 |
| Balanced workload | 1M input + 1M output | MiMo-V2.5 | $0.42 | $2.8 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2.5 | $1.54 | $12.8 |
MiMo-V2.5 is $2.22 cheaper per 1M output tokens (88.8% lower; 8.93x difference).
MiMo-V2.5 has 1.02M more context (32x larger).
MiMo-V2.5 is $1.27 cheaper on the standard workload (81.9% 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
MiMo-V2.5 has the lower input price; MiMo-V2.5 has the lower output price; MiMo-V2.5 offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2.5 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.28 for MiMo-V2.5 and $1.55 for Nano Banana (Gemini 2.5 Flash Image).
Choose MiMo-V2.5 when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Nano Banana (Gemini 2.5 Flash Image) when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, MiMo-V2.5 is estimated at $0.28 vs $1.55 for Nano Banana (Gemini 2.5 Flash Image), saving $1.27 (81.9% lower).
- MiMo-V2.5 is $1.27 cheaper on the standard workload (81.9% lower).
- MiMo-V2.5 is $0.16 cheaper per 1M input tokens (53.3% lower; 2.14x difference).
- MiMo-V2.5 is $2.22 cheaper per 1M output tokens (88.8% lower; 8.93x difference).
- MiMo-V2.5 has 1.02M more context (32x larger).
| Feature | MiMo-V2.5 (Xiaomi) | Nano Banana (Gemini 2.5 Flash Image) (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.14 | $0.3 |
| Completion Price per 1M tokens | $0.28 | $2.5 |
| Sample Workload Cost 1M input + 500K output | $0.28 | $1.55 |
| Context Window | 1.05M | 32.77K |
| Release Date | ||
| Popularity | #39 | #121 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiMo-V2.5 | On the standard 1M input plus 500K output workload, MiMo-V2.5 is estimated at $0.28 vs $1.55 for Nano Banana (Gemini 2.5 Flash Image), saving $1.27 (81.9% lower). |
| High-volume input processing | MiMo-V2.5 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiMo-V2.5 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiMo-V2.5 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- MiMo-V2-Flash can replace MiMo-V2.5 when lower sample workload cost matters most: $0.25.
- Gemma 4 31B (free) can replace Nano Banana (Gemini 2.5 Flash Image) when lower sample workload cost matters most: $0.
- Gemma 4 26B A4B (free) can replace Nano Banana (Gemini 2.5 Flash Image) when lower sample workload cost matters most: $0.
- Lyria 3 Clip Preview can replace Nano Banana (Gemini 2.5 Flash Image) when lower sample workload cost matters most: $0.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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 largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsXiaomi catalog
Review all tracked Xiaomi models before deciding whether this matchup is the right shortlist.
Open Xiaomi modelsGoogle catalog
Check other Google models with comparable pricing, context, or release timing.
Open Google modelsMiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...
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