API cost decision in 10 seconds

NewPareto vs Nano Banana Pro (Gemini 3 Pro Image)

Pick Pareto 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 Pareto when budget and context both matter.

On the standard 1M input plus 500K output workload, Pareto is estimated at $6.25 vs $8 for Nano Banana Pro (Gemini 3 Pro Image), saving $1.75 (21.9% lower).

Cost-first pickPareto
Context-first pickPareto
Sample savings$1.7521.9%
10x traffic gap$17.5

Pareto is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $17.5. 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 Pro (Gemini 3 Pro Image), balanced workload favors Pareto, and output-heavy chatbot favors Pareto.

Workload shapeToken mixBetter pickParetoNano Banana Pro (Gemini 3 Pro Image)
Input-heavy / RAG5M input + 500K outputNano Banana Pro (Gemini 3 Pro Image)$16.25$16
Balanced workload1M input + 1M outputPareto$10$14
Output-heavy chatbot1M input + 5M outputPareto$40$62
Cheaper input Nano Banana Pro (Gemini 3 Pro Image) $2.5 vs $2 / 1M

Nano Banana Pro (Gemini 3 Pro Image) is $0.5 cheaper per 1M input tokens (20% lower; 1.25x difference).

Cheaper output Pareto $7.5 vs $12 / 1M

Pareto is $4.5 cheaper per 1M output tokens (37.5% lower; 1.6x difference).

Larger context Pareto 262.14K vs 131.07K

Pareto has 131.07K more context (2x larger).

Sample workload Pareto $6.25 vs $8

Pareto is $1.75 cheaper on the standard workload (21.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Pareto Calculating… Estimated API cost
Nano Banana Pro (Gemini 3 Pro Image) 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 Pro (Gemini 3 Pro Image) has the lower input price; Pareto has the lower output price; Pareto offers the larger context window. For the 1M input plus 500K output sample, Pareto is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $6.25 for Pareto and $8 for Nano Banana Pro (Gemini 3 Pro Image).

Best Fit

Choose Pareto when you care most about lower output-token price, and larger context window.

Choose Nano Banana Pro (Gemini 3 Pro Image) when you care most about lower input-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Pareto is estimated at $6.25 vs $8 for Nano Banana Pro (Gemini 3 Pro Image), saving $1.75 (21.9% lower).
  • Pareto is $1.75 cheaper on the standard workload (21.9% lower).
  • Nano Banana Pro (Gemini 3 Pro Image) is $0.5 cheaper per 1M input tokens (20% lower; 1.25x difference).
  • Pareto is $4.5 cheaper per 1M output tokens (37.5% lower; 1.6x difference).
  • Pareto has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureNewPareto
(unbiased)
Nano Banana Pro (Gemini 3 Pro Image)
(Google)
Input Price
prompt tokens per 1M
$2.5$2
Completion Price
per 1M tokens
$7.5$12
Sample Workload Cost
1M input + 500K output
$6.25$8
Context Window262.14K131.07K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionParetoOn the standard 1M input plus 500K output workload, Pareto is estimated at $6.25 vs $8 for Nano Banana Pro (Gemini 3 Pro Image), saving $1.75 (21.9% lower).
High-volume input processingNano Banana Pro (Gemini 3 Pro Image)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsParetoLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workParetoA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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

Cheaper alternatives

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Larger context alternatives

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

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Provider catalogs

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unbiased catalog

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

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Google catalog

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

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Pareto

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.

Nano Banana Pro (Gemini 3 Pro Image)

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...