Both models report the same input price at $1.5 per 1M tokens.
API cost decision in 10 seconds
NewGemini Omni 1.2 Flash vs Nano Banana 2.1
Pick Nano Banana 2.1 for lower cost; pick Gemini Omni 1.2 Flash only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Nano Banana 2.1 for lower cost; pick Gemini Omni 1.2 Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nano Banana 2.1 is estimated at $5.25 vs $6 for Gemini Omni 1.2 Flash, saving $0.75 (12.5% lower).
Cost-first pickNano Banana 2.1
Context-first pickGemini Omni 1.2 Flash
Sample savings$0.7512.5%
10x traffic gap$7.5
Gemini Omni 1.2 Flash has more context, but Nano Banana 2.1 saves $0.75 on the standard workload. At 10x that traffic, the same price gap is about $7.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nano Banana 2.1 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Gemini Omni 1.2 Flash | Nano Banana 2.1 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nano Banana 2.1 | $12 | $11.25 |
| Balanced workload | 1M input + 1M output | Nano Banana 2.1 | $10.5 | $9 |
| Output-heavy chatbot | 1M input + 5M output | Nano Banana 2.1 | $46.5 | $39 |
Nano Banana 2.1 is $1.5 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
Gemini Omni 1.2 Flash has 65.54K more context (2x larger).
Nano Banana 2.1 is $0.75 cheaper on the standard workload (12.5% 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
both models tie on input price; Nano Banana 2.1 has the lower output price; Gemini Omni 1.2 Flash offers the larger context window. For the 1M input plus 500K output sample, Nano Banana 2.1 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $6 for Gemini Omni 1.2 Flash and $5.25 for Nano Banana 2.1.
Choose Gemini Omni 1.2 Flash when you care most about larger context window.
Choose Nano Banana 2.1 when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, Nano Banana 2.1 is estimated at $5.25 vs $6 for Gemini Omni 1.2 Flash, saving $0.75 (12.5% lower).
- Nano Banana 2.1 is $0.75 cheaper on the standard workload (12.5% lower).
- Both models report the same input price at $1.5 per 1M tokens.
- Nano Banana 2.1 is $1.5 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
- Gemini Omni 1.2 Flash has 65.54K more context (2x larger).
| Feature | NewGemini Omni 1.2 Flash (Google) | Nano Banana 2.1 (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.5 | $1.5 |
| Completion Price per 1M tokens | $9 | $7.5 |
| Sample Workload Cost 1M input + 500K output | $6 | $5.25 |
| Context Window | 131.07K | 65.54K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nano Banana 2.1 | On the standard 1M input plus 500K output workload, Nano Banana 2.1 is estimated at $5.25 vs $6 for Gemini Omni 1.2 Flash, saving $0.75 (12.5% lower). |
| High-volume input processing | Tie | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nano Banana 2.1 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Gemini Omni 1.2 Flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
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- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
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