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HomeModelsNano Banana Pro (Gemini 3 Pro Image Preview)
GoogleBalanced

Nano Banana Pro (Gemini 3 Pro Image Preview)

A capable image-first multimodal model held back by a small context window and preview-stage instability.

62
Coding
70
Writing
72
Research
88
Images
55
Value
30
Long Context
Use this when

Teams needing robust image analysis, visual question answering, and multimodal workflows at a mid-range price point.

Skip this if

You need stable production-grade reliability, long document processing beyond 65K tokens, or best-in-class code generation.

Pricing
$2.00/1M in
$12.00/1M out
→0%since May 2026
Context
66k tokens
Speed
Balanced

This is a preview model — API behavior, pricing, and availability may change before general release. The 65K context window is unusually constrained for a Gemini Pro-tier model; double-check if your use case requires longer contexts before committing.

How to access
API
$2/1M input tokens
Subscription = chat interface. API = build with it. Compare all subscription plans
Switch to instead if...
Best overall
GPT-6 Astra
Cheaper option
Gemini 3.1 Flash
Faster option
Nano Banana (Gemini 2.5 Flash Image)

Strengths

Strong native image understanding including scene description, OCR, and visual reasoning

Multimodal input handling combining text and images in a single prompt

Competitive $2/$12 pricing for a vision-capable flagship preview model

Backed by Google's image training pipeline, excelling at charts, diagrams, and document visuals

Weaknesses

65K context window is notably smaller than competitors like Gemini 3 Pro (1M+), limiting long document workflows

Preview status means stability and feature completeness are not yet guaranteed for production use

Code generation and pure text reasoning lag behind GPT-5.4 and Claude Sonnet 4.6

Real-world use cases

What people actually use Nano Banana Pro (Gemini 3 Pro Image Preview) for.

Analyzing product images and generating structured descriptions for e-commerce catalogs

Parsing financial charts and diagrams to extract key data points for research reports

Visual QA on architectural blueprints or technical schematics

How Nano Banana Pro (Gemini 3 Pro Image Preview) compares

The nearest models people weigh against it, and what actually separates them.

vs Gemini 3.1 Flash — Against Gemini 3.1 Flash (Google), Nano Banana Pro (Gemini 3 Pro Image Preview) costs about 75% more per token, gives up 15.3x on context and answers slower. Gemini 3.1 Flash is the one to check first if the price difference matters more than the ceiling.

vs Nano Banana (Gemini 2.5 Flash Image) — Against Nano Banana (Gemini 2.5 Flash Image) (Google), Nano Banana Pro (Gemini 3 Pro Image Preview) costs about 80% more per token, takes 2x the context and answers slower. Nano Banana (Gemini 2.5 Flash Image) is the one to check first if the price difference matters more than the ceiling.

vs Claude Fable 5 — Against Claude Fable 5 (Anthropic), Nano Banana Pro (Gemini 3 Pro Image Preview) runs about 77% cheaper per token, gives up 15.3x on context and answers faster. Take Nano Banana Pro (Gemini 3 Pro Image Preview) unless you specifically need what Claude Fable 5 does better.

Price History

Nano Banana Pro (Gemini 3 Pro Image Preview) pricing over time

→0% since May 30

$2.16$2.08$2.00$1.92$1.84May 30Jun 17Jul 9Jul 26Aug 13Sep 7

90 data points · tracked daily since May 30, 2026

Ready to try it?

Start using Nano Banana Pro (Gemini 3 Pro Image Preview)

Teams needing robust image analysis, visual question answering, and multimodal workflows at a mid-range price point.. Start free — no card required.

Try Nano Banana Pro (Gemini 3 Pro Image Preview) freeCompare alternatives

Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.

Compare alternatives

Similar models worth checking before you commit.

All Nano Banana Pro (Gemini 3 Pro Image Preview) alternatives →
GoogleBudget

Gemini 3.1 Flash

Fast, low-cost model with a 1M token context window — the best budget default for teams running high prompt volumes.

Verdict
Best cheap AI for broad day-to-day work — now with 1M context.
Quality score
75%
Pricing
$0.50/1M in
$3.00/1M out
Speed
Very fast
5/5 speed
Context
1M tokens
The default budget pick for startups watching cost. The 1M context at this price is unmatched.
Best budgetFast1M contextScalable
Best for
High-volume everyday AI usage where speed and cost both matter
View model
GoogleBudget

Nano Banana (Gemini 2.5 Flash Image)

A budget-tier image-capable variant of Gemini 2.5 Flash, optimized for cost-effective multimodal tasks involving image understanding. Despite the whimsical internal name, it delivers Gemini 2.5 Flash's vision capabilities at a low price point.

Verdict
A scrappy budget image model that's fast and cheap on ingestion but constrained by a tiny context window.
Quality score
42%
Pricing
$0.30/1M in
$2.50/1M out
Speed
Very fast
5/5 speed
Context
33k tokens
The 32,768 token context window is unusually small even for a budget model — verify this limit hasn't changed before deploying in production. The 'Nano Banana' name appears to be an internal or experimental identifier; confirm model availability and stability via Google AI Studio or Vertex AI before relying on it in critical workflows.
budgetimage-analysismultimodalflashgoogle
Best for
Budget-conscious teams needing fast image analysis and visual question answering without flagship pricing.
View model
AnthropicPremium

Claude Fable 5

Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.

Verdict
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1M tokens
Launched June 9, 2026 as the public, Mythos-class release. Available on the Claude API, Microsoft Foundry, and Google Vertex AI. Free for all users until June 22, 2026. Same underlying model as Claude Mythos 5, with safeguards that block specific high-risk cyber responses.
Coding leaderSWE-Bench Pro #1Mythos-classParallel subagentsAgenticLong contextPremiumNew
Best for
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
View model

Change history

Pricing moves, ranking shifts, and capability updates.

New ModelMar 27, 2026

Google: Nano Banana Pro (Gemini 3 Pro Image Preview) — added to UseRightAI

Google: Nano Banana Pro (Gemini 3 Pro Image Preview) (Google) is now indexed. A capable image-first multimodal model held back by a small context window and preview-stage instability.

View model

FAQ

How much does Nano Banana Pro (Gemini 3 Pro Image Preview) cost?

Nano Banana Pro (Gemini 3 Pro Image Preview) costs $2 per million input tokens and $12 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $44.00 at list price, before any batch or caching discounts.

What is Nano Banana Pro (Gemini 3 Pro Image Preview) best for?

Nano Banana Pro (Gemini 3 Pro Image Preview) is best for teams needing robust image analysis, visual question answering, and multimodal workflows at a mid-range price point.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.

When should I avoid Nano Banana Pro (Gemini 3 Pro Image Preview)?

You need stable production-grade reliability, long document processing beyond 65K tokens, or best-in-class code generation.

What is a cheaper alternative to Nano Banana Pro (Gemini 3 Pro Image Preview)?

Gemini 3.1 Flash (Google) at $0.50/1M/1M input against Nano Banana Pro (Gemini 3 Pro Image Preview)'s $2.00/1M/1M — roughly 75% less per token all in. Best cheap AI for broad day-to-day work — now with 1M context. Compare it first if Nano Banana Pro (Gemini 3 Pro Image Preview)'s pricing is the thing stopping you.

What is a faster alternative to Nano Banana Pro (Gemini 3 Pro Image Preview)?

Nano Banana (Gemini 2.5 Flash Image) — very fast against Nano Banana Pro (Gemini 3 Pro Image Preview)'s balanced, with 33k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.

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