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Google: 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.
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
Best for budget-conscious teams needing fast image analysis and visual question answering without flagship pricing.
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.
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
Best for the hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
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
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.
What is Google: Nano Banana Pro (Gemini 3 Pro Image Preview) best for?
Google: 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 Google: 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 Google: Nano Banana Pro (Gemini 3 Pro Image Preview)?
Google: Nano Banana (Gemini 2.5 Flash Image) is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
What is a faster alternative to Google: Nano Banana Pro (Gemini 3 Pro Image Preview)?
Gemini 3.1 Flash is the better pick when response time matters more than maximum depth or premium quality.
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