ricursiveAI/Ripple-65B-Preview is $1.3 cheaper per 1M input tokens (86.7% lower; 7.5x difference).
API cost decision in 10 seconds
NewricursiveAI/Ripple-65B-Preview vs Nano Banana 2.1
Pick ricursiveAI/Ripple-65B-Preview for lower cost; pick Nano Banana 2.1 only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick ricursiveAI/Ripple-65B-Preview for lower cost; pick Nano Banana 2.1 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, ricursiveAI/Ripple-65B-Preview is estimated at $0.5 vs $5.25 for Nano Banana 2.1, saving $4.75 (90.5% lower).
Cost-first pickricursiveAI/Ripple-65B-Preview
Context-first pickNano Banana 2.1
Sample savings$4.7590.5%
10x traffic gap$47.5
Nano Banana 2.1 has more context, but ricursiveAI/Ripple-65B-Preview saves $4.75 on the standard workload. At 10x that traffic, the same price gap is about $47.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
ricursiveAI/Ripple-65B-Preview stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | ricursiveAI/Ripple-65B-Preview | Nano Banana 2.1 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | ricursiveAI/Ripple-65B-Preview | $1.3 | $11.25 |
| Balanced workload | 1M input + 1M output | ricursiveAI/Ripple-65B-Preview | $0.8 | $9 |
| Output-heavy chatbot | 1M input + 5M output | ricursiveAI/Ripple-65B-Preview | $3.2 | $39 |
ricursiveAI/Ripple-65B-Preview is $6.9 cheaper per 1M output tokens (92% lower; 12.5x difference).
Nano Banana 2.1 has 49.15K more context (4x larger).
ricursiveAI/Ripple-65B-Preview is $4.75 cheaper on the standard workload (90.5% 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
ricursiveAI/Ripple-65B-Preview has the lower input price; ricursiveAI/Ripple-65B-Preview has the lower output price; Nano Banana 2.1 offers the larger context window. For the 1M input plus 500K output sample, ricursiveAI/Ripple-65B-Preview is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.5 for ricursiveAI/Ripple-65B-Preview and $5.25 for Nano Banana 2.1.
Choose ricursiveAI/Ripple-65B-Preview when you care most about lower input-token price, and lower output-token price.
Choose Nano Banana 2.1 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, ricursiveAI/Ripple-65B-Preview is estimated at $0.5 vs $5.25 for Nano Banana 2.1, saving $4.75 (90.5% lower).
- ricursiveAI/Ripple-65B-Preview is $4.75 cheaper on the standard workload (90.5% lower).
- ricursiveAI/Ripple-65B-Preview is $1.3 cheaper per 1M input tokens (86.7% lower; 7.5x difference).
- ricursiveAI/Ripple-65B-Preview is $6.9 cheaper per 1M output tokens (92% lower; 12.5x difference).
- Nano Banana 2.1 has 49.15K more context (4x larger).
| Feature | NewricursiveAI/Ripple-65B-Preview (ricursiveai) | Nano Banana 2.1 (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.2 | $1.5 |
| Completion Price per 1M tokens | $0.6 | $7.5 |
| Sample Workload Cost 1M input + 500K output | $0.5 | $5.25 |
| Context Window | 16.38K | 65.54K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | ricursiveAI/Ripple-65B-Preview | On the standard 1M input plus 500K output workload, ricursiveAI/Ripple-65B-Preview is estimated at $0.5 vs $5.25 for Nano Banana 2.1, saving $4.75 (90.5% lower). |
| High-volume input processing | ricursiveAI/Ripple-65B-Preview | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | ricursiveAI/Ripple-65B-Preview | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Nano Banana 2.1 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
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Open Google modelsRipple-65B-Preview by ricursiveAI, a 65B model with native tool calling, served in BF16.
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