Nano Banana (Gemini 2.5 Flash Image) is $0.09 cheaper per 1M input tokens (23.1% lower; 1.3x difference).
API cost decision in 10 seconds
Qwen3.5 397B A17B vs Nano Banana (Gemini 2.5 Flash Image)
Pick Nano Banana (Gemini 2.5 Flash Image) for lower cost; pick Qwen3.5 397B A17B only if the larger context window matters more.
Budget verdict
Pick Nano Banana (Gemini 2.5 Flash Image) for lower cost; pick Qwen3.5 397B A17B only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nano Banana (Gemini 2.5 Flash Image) is estimated at $1.55 vs $1.56 for Qwen3.5 397B A17B, saving $0.01 (0.6% lower).
Qwen3.5 397B A17B has more context, but Nano Banana (Gemini 2.5 Flash Image) saves $0.01 on the standard workload. At 10x that traffic, the same price gap is about $0.1. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Nano Banana (Gemini 2.5 Flash Image), balanced workload favors Qwen3.5 397B A17B, and output-heavy chatbot favors Qwen3.5 397B A17B.
| Workload shape | Token mix | Better pick | Qwen3.5 397B A17B | Nano Banana (Gemini 2.5 Flash Image) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nano Banana (Gemini 2.5 Flash Image) | $3.12 | $2.75 |
| Balanced workload | 1M input + 1M output | Qwen3.5 397B A17B | $2.73 | $2.8 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.5 397B A17B | $12.09 | $12.8 |
Qwen3.5 397B A17B is $0.16 cheaper per 1M output tokens (6.4% lower; 1.07x difference).
Qwen3.5 397B A17B has 229.38K more context (8x larger).
Nano Banana (Gemini 2.5 Flash Image) is $0.01 cheaper on the standard workload (0.6% 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
Nano Banana (Gemini 2.5 Flash Image) has the lower input price; Qwen3.5 397B A17B has the lower output price; Qwen3.5 397B A17B offers the larger context window. For the 1M input plus 500K output sample, Nano Banana (Gemini 2.5 Flash Image) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.56 for Qwen3.5 397B A17B and $1.55 for Nano Banana (Gemini 2.5 Flash Image).
Choose Qwen3.5 397B A17B when you care most about lower output-token price, and larger context window.
Choose Nano Banana (Gemini 2.5 Flash Image) when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, Nano Banana (Gemini 2.5 Flash Image) is estimated at $1.55 vs $1.56 for Qwen3.5 397B A17B, saving $0.01 (0.6% lower).
- Nano Banana (Gemini 2.5 Flash Image) is $0.01 cheaper on the standard workload (0.6% lower).
- Nano Banana (Gemini 2.5 Flash Image) is $0.09 cheaper per 1M input tokens (23.1% lower; 1.3x difference).
- Qwen3.5 397B A17B is $0.16 cheaper per 1M output tokens (6.4% lower; 1.07x difference).
- Qwen3.5 397B A17B has 229.38K more context (8x larger).
| Feature | Qwen3.5 397B A17B (Qwen) | Nano Banana (Gemini 2.5 Flash Image) (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.39 | $0.3 |
| Completion Price per 1M tokens | $2.34 | $2.5 |
| Sample Workload Cost 1M input + 500K output | $1.56 | $1.55 |
| Context Window | 262.14K | 32.77K |
| Release Date | ||
| Popularity | #53 | #121 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nano Banana (Gemini 2.5 Flash Image) | On the standard 1M input plus 500K output workload, Nano Banana (Gemini 2.5 Flash Image) is estimated at $1.55 vs $1.56 for Qwen3.5 397B A17B, saving $0.01 (0.6% lower). |
| High-volume input processing | Nano Banana (Gemini 2.5 Flash Image) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.5 397B A17B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.5 397B A17B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.5 397B A17B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.5 397B A17B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.5 397B A17B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.5 397B A17B when lower sample workload cost matters most: $0.11.
- 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 offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 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 Google modelsThe Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,...