Qwen3.5-122B-A10B is $1.74 cheaper per 1M input tokens (87% lower; 7.69x difference).
API cost decision in 10 seconds
Qwen3.5-122B-A10B vs Nano Banana Pro (Gemini 3 Pro Image Preview)
Pick Qwen3.5-122B-A10B when budget and context both matter.
Budget verdict
Pick Qwen3.5-122B-A10B when budget and context both matter.
On the standard 1M input plus 500K output workload, Qwen3.5-122B-A10B is estimated at $1.3 vs $8 for Nano Banana Pro (Gemini 3 Pro Image Preview), saving $6.7 (83.8% lower).
Qwen3.5-122B-A10B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $67. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.5-122B-A10B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.5-122B-A10B | Nano Banana Pro (Gemini 3 Pro Image Preview) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.5-122B-A10B | $2.34 | $16 |
| Balanced workload | 1M input + 1M output | Qwen3.5-122B-A10B | $2.34 | $14 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.5-122B-A10B | $10.66 | $62 |
Qwen3.5-122B-A10B is $9.92 cheaper per 1M output tokens (82.7% lower; 5.77x difference).
Qwen3.5-122B-A10B has 196.61K more context (4x larger).
Qwen3.5-122B-A10B is $6.7 cheaper on the standard workload (83.8% 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
Qwen3.5-122B-A10B has the lower input price; Qwen3.5-122B-A10B has the lower output price; Qwen3.5-122B-A10B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5-122B-A10B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.3 for Qwen3.5-122B-A10B and $8 for Nano Banana Pro (Gemini 3 Pro Image Preview).
Choose Qwen3.5-122B-A10B when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Nano Banana Pro (Gemini 3 Pro 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, Qwen3.5-122B-A10B is estimated at $1.3 vs $8 for Nano Banana Pro (Gemini 3 Pro Image Preview), saving $6.7 (83.8% lower).
- Qwen3.5-122B-A10B is $6.7 cheaper on the standard workload (83.8% lower).
- Qwen3.5-122B-A10B is $1.74 cheaper per 1M input tokens (87% lower; 7.69x difference).
- Qwen3.5-122B-A10B is $9.92 cheaper per 1M output tokens (82.7% lower; 5.77x difference).
- Qwen3.5-122B-A10B has 196.61K more context (4x larger).
| Feature | Qwen3.5-122B-A10B (Qwen) | Nano Banana Pro (Gemini 3 Pro Image Preview) (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.26 | $2 |
| Completion Price per 1M tokens | $2.08 | $12 |
| Sample Workload Cost 1M input + 500K output | $1.3 | $8 |
| Context Window | 262.14K | 65.54K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3.5-122B-A10B | On the standard 1M input plus 500K output workload, Qwen3.5-122B-A10B is estimated at $1.3 vs $8 for Nano Banana Pro (Gemini 3 Pro Image Preview), saving $6.7 (83.8% lower). |
| High-volume input processing | Qwen3.5-122B-A10B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.5-122B-A10B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.5-122B-A10B | 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 Qwen3.5-122B-A10B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.5-122B-A10B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.5-122B-A10B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.5-122B-A10B when lower sample workload cost matters most: $0.11.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- GPT-5.4 offers 1.05M context with $10 sample workload cost.
- No popular competitor is currently available.
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 hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsGoogle catalog
Check other Google models with comparable pricing, context, or release timing.
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