MiMo-V2-Omni is $0.1 cheaper per 1M input tokens (20% lower; 1.25x difference).
API cost decision in 10 seconds
MiMo-V2-Omni vs Nano Banana 2 (Gemini 3.1 Flash Image Preview)
Pick MiMo-V2-Omni 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-Omni when budget and context both matter.
On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview), saving $0.6 (30% lower).
Cost-first pickMiMo-V2-Omni
Context-first pickMiMo-V2-Omni
Sample savings$0.630%
10x traffic gap$6
MiMo-V2-Omni is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $6. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiMo-V2-Omni stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | MiMo-V2-Omni | Nano Banana 2 (Gemini 3.1 Flash Image Preview) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2-Omni | $3 | $4 |
| Balanced workload | 1M input + 1M output | MiMo-V2-Omni | $2.4 | $3.5 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2-Omni | $10.4 | $15.5 |
MiMo-V2-Omni is $1 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
MiMo-V2-Omni has 131.07K more context (2x larger).
MiMo-V2-Omni is $0.6 cheaper on the standard workload (30% 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-Omni has the lower input price; MiMo-V2-Omni has the lower output price; MiMo-V2-Omni offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2-Omni is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.4 for MiMo-V2-Omni and $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview).
Choose MiMo-V2-Omni when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Nano Banana 2 (Gemini 3.1 Flash Image Preview) 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-Omni is estimated at $1.4 vs $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview), saving $0.6 (30% lower).
- MiMo-V2-Omni is $0.6 cheaper on the standard workload (30% lower).
- MiMo-V2-Omni is $0.1 cheaper per 1M input tokens (20% lower; 1.25x difference).
- MiMo-V2-Omni is $1 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
- MiMo-V2-Omni has 131.07K more context (2x larger).
| Feature | MiMo-V2-Omni (Xiaomi) | Nano Banana 2 (Gemini 3.1 Flash Image Preview) (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $0.5 |
| Completion Price per 1M tokens | $2 | $3 |
| Sample Workload Cost 1M input + 500K output | $1.4 | $2 |
| Context Window | 262.14K | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiMo-V2-Omni | On the standard 1M input plus 500K output workload, MiMo-V2-Omni is estimated at $1.4 vs $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview), saving $0.6 (30% lower). |
| High-volume input processing | MiMo-V2-Omni | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiMo-V2-Omni | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiMo-V2-Omni | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- MiMo-V2-Flash can replace MiMo-V2-Omni when lower sample workload cost matters most: $0.25.
- Gemma 4 26B A4B (free) can replace Nano Banana 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
- Gemma 4 31B (free) can replace Nano Banana 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
- Lyria 3 Pro Preview can replace Nano Banana 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
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- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
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Open Google modelsMiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with agentic capability - visual grounding, multi-step...
Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines...