API cost decision in 10 seconds

Nano Banana 2 (Gemini 3.1 Flash Image Preview) vs Qwen3 235B A22B Thinking 2507

Pick Qwen3 235B A22B Thinking 2507 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 Thinking 2507 when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3 235B A22B Thinking 2507 is estimated at $0.9 vs $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview), saving $1.1 (55.1% lower).

Cost-first pickQwen3 235B A22B Thinking 2507
Context-first pickQwen3 235B A22B Thinking 2507
Sample savings$1.155.1%
10x traffic gap$11.03

Qwen3 235B A22B Thinking 2507 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $11.03. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 235B A22B Thinking 2507 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNano Banana 2 (Gemini 3.1 Flash Image Preview)Qwen3 235B A22B Thinking 2507
Input-heavy / RAG5M input + 500K outputQwen3 235B A22B Thinking 2507$4$1.5
Balanced workload1M input + 1M outputQwen3 235B A22B Thinking 2507$3.5$1.64
Output-heavy chatbot1M input + 5M outputQwen3 235B A22B Thinking 2507$15.5$7.62
Cheaper input Qwen3 235B A22B Thinking 2507 $0.5 vs $0.1495 / 1M

Qwen3 235B A22B Thinking 2507 is $0.35 cheaper per 1M input tokens (70.1% lower; 3.34x difference).

Cheaper output Qwen3 235B A22B Thinking 2507 $3 vs $1.495 / 1M

Qwen3 235B A22B Thinking 2507 is $1.5 cheaper per 1M output tokens (50.2% lower; 2.01x difference).

Larger context Qwen3 235B A22B Thinking 2507 131.07K vs 262.14K

Qwen3 235B A22B Thinking 2507 has 131.07K more context (2x larger).

Sample workload Qwen3 235B A22B Thinking 2507 $2 vs $0.9

Qwen3 235B A22B Thinking 2507 is $1.1 cheaper on the standard workload (55.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nano Banana 2 (Gemini 3.1 Flash Image Preview) Calculating… Estimated API cost
Qwen3 235B A22B Thinking 2507 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

Qwen3 235B A22B Thinking 2507 has the lower input price; Qwen3 235B A22B Thinking 2507 has the lower output price; Qwen3 235B A22B Thinking 2507 offers the larger context window. For the 1M input plus 500K output sample, Qwen3 235B A22B Thinking 2507 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview) and $0.9 for Qwen3 235B A22B Thinking 2507.

Best Fit

Choose Nano Banana 2 (Gemini 3.1 Flash Image Preview) when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Qwen3 235B A22B Thinking 2507 when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3 235B A22B Thinking 2507 is estimated at $0.9 vs $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview), saving $1.1 (55.1% lower).
  • Qwen3 235B A22B Thinking 2507 is $1.1 cheaper on the standard workload (55.1% lower).
  • Qwen3 235B A22B Thinking 2507 is $0.35 cheaper per 1M input tokens (70.1% lower; 3.34x difference).
  • Qwen3 235B A22B Thinking 2507 is $1.5 cheaper per 1M output tokens (50.2% lower; 2.01x difference).
  • Qwen3 235B A22B Thinking 2507 has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureNano Banana 2 (Gemini 3.1 Flash Image Preview)
(Google)
Qwen3 235B A22B Thinking 2507
(Qwen)
Input Price
prompt tokens per 1M
$0.5$0.1495
Completion Price
per 1M tokens
$3$1.495
Sample Workload Cost
1M input + 500K output
$2$0.9
Context Window131.07K262.14K
Release Date
Popularity#129#133

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 235B A22B Thinking 2507On the standard 1M input plus 500K output workload, Qwen3 235B A22B Thinking 2507 is estimated at $0.9 vs $2 for Nano Banana 2 (Gemini 3.1 Flash Image Preview), saving $1.1 (55.1% lower).
High-volume input processingQwen3 235B A22B Thinking 2507Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3 235B A22B Thinking 2507Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3 235B A22B Thinking 2507A 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 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
  • Gemma 4 26B A4B (free) can replace Nano Banana 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
  • Lyria 3 Clip Preview can replace Nano Banana 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
  • Lyria 3 Pro Preview can replace Nano Banana 2 (Gemini 3.1 Flash Image Preview) when lower sample workload cost matters most: $0.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 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.

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Google catalog

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

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Qwen catalog

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

Open Qwen models
Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines...

Qwen3 235B A22B Thinking 2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...