API cost decision in 10 seconds

Nano Banana (Gemini 2.5 Flash Image) vs Qwen3 235B A22B

Pick Qwen3 235B A22B when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3 235B A22B when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3 235B A22B is estimated at $1.36 vs $1.55 for Nano Banana (Gemini 2.5 Flash Image), saving $0.19 (11.9% lower).

Cost-first pickQwen3 235B A22B
Context-first pickQwen3 235B A22B
Sample savings$0.1911.9%
10x traffic gap$1.85

Qwen3 235B A22B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.85. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Nano Banana (Gemini 2.5 Flash Image), balanced workload favors Qwen3 235B A22B, and output-heavy chatbot favors Qwen3 235B A22B.

Workload shapeToken mixBetter pickNano Banana (Gemini 2.5 Flash Image)Qwen3 235B A22B
Input-heavy / RAG5M input + 500K outputNano Banana (Gemini 2.5 Flash Image)$2.75$3.19
Balanced workload1M input + 1M outputQwen3 235B A22B$2.8$2.27
Output-heavy chatbot1M input + 5M outputQwen3 235B A22B$12.8$9.55
Cheaper input Nano Banana (Gemini 2.5 Flash Image) $0.3 vs $0.455 / 1M

Nano Banana (Gemini 2.5 Flash Image) is $0.16 cheaper per 1M input tokens (34.1% lower; 1.52x difference).

Cheaper output Qwen3 235B A22B $2.5 vs $1.82 / 1M

Qwen3 235B A22B is $0.68 cheaper per 1M output tokens (27.2% lower; 1.37x difference).

Larger context Qwen3 235B A22B 32.77K vs 131.07K

Qwen3 235B A22B has 98.3K more context (4x larger).

Sample workload Qwen3 235B A22B $1.55 vs $1.36

Qwen3 235B A22B is $0.19 cheaper on the standard workload (11.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nano Banana (Gemini 2.5 Flash Image) Calculating… Estimated API cost
Qwen3 235B A22B Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

Nano Banana (Gemini 2.5 Flash Image) has the lower input price; Qwen3 235B A22B has the lower output price; Qwen3 235B A22B offers the larger context window. For the 1M input plus 500K output sample, Qwen3 235B A22B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.55 for Nano Banana (Gemini 2.5 Flash Image) and $1.36 for Qwen3 235B A22B.

Best Fit

Choose Nano Banana (Gemini 2.5 Flash Image) when you care most about lower input-token price.

Choose Qwen3 235B A22B when you care most about lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3 235B A22B is estimated at $1.36 vs $1.55 for Nano Banana (Gemini 2.5 Flash Image), saving $0.19 (11.9% lower).
  • Qwen3 235B A22B is $0.19 cheaper on the standard workload (11.9% lower).
  • Nano Banana (Gemini 2.5 Flash Image) is $0.16 cheaper per 1M input tokens (34.1% lower; 1.52x difference).
  • Qwen3 235B A22B is $0.68 cheaper per 1M output tokens (27.2% lower; 1.37x difference).
  • Qwen3 235B A22B has 98.3K more context (4x larger).
Head-to-Head Specs
FeatureNano Banana (Gemini 2.5 Flash Image)
(Google)
Qwen3 235B A22B
(Qwen)
Input Price
prompt tokens per 1M
$0.3$0.455
Completion Price
per 1M tokens
$2.5$1.82
Sample Workload Cost
1M input + 500K output
$1.55$1.36
Context Window32.77K131.07K
Release Date
Popularity#121#131

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 235B A22BOn the standard 1M input plus 500K output workload, Qwen3 235B A22B is estimated at $1.36 vs $1.55 for Nano Banana (Gemini 2.5 Flash Image), saving $0.19 (11.9% lower).
High-volume input processingNano Banana (Gemini 2.5 Flash Image)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3 235B A22BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3 235B A22BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Gemma 4 31B (free) can replace Nano Banana (Gemini 2.5 Flash Image) when lower sample workload cost matters most: $0.
  • Gemma 4 26B A4B (free) can replace Nano Banana (Gemini 2.5 Flash Image) when lower sample workload cost matters most: $0.
  • Lyria 3 Clip Preview can replace Nano Banana (Gemini 2.5 Flash Image) when lower sample workload cost matters most: $0.
  • Lyria 3 Pro Preview can replace Nano Banana (Gemini 2.5 Flash Image) when lower sample workload cost matters most: $0.
Larger context near this budget

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Google catalog

Review all tracked Google models before deciding whether this matchup is the right shortlist.

Open Google models

Qwen catalog

Check other Qwen models with comparable pricing, context, or release timing.

Open Qwen models
Nano Banana (Gemini 2.5 Flash Image)

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,...

Qwen3 235B A22B

Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...