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Comparison of clip-vit-base-patch32, Google: Nano Banana 2.1
2 modelsopenaiclip-vit-base-patch32Remove ×googleGoogle: Nano Banana 2.1Remove ×
What’s differentThe CLIP model was developed by OpenAI to investigate the robustness of computer vision models. It uses a Vision Transformer architecture and was trained on a large dataset of image-caption pairs. The model…Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization,...
DateMay 2, 2023ListedOct 6, 2026Released
Listed rateSee provider quotes

$30.00/ 1M output tokens

Google AI Studio · via OpenRouter · Conditional · Output only

Provider endpoints0 endpoints →2 endpoints →
AA Image ↗2.1Not reported1,175.56 ↗Text-to-image · all categoriesIndependent result95% CI 1,163.56–1,187.56 · n=6,210
Context window—65.5K
Max output—59K
Parameters——
Tool callingNot reportedSupported
Structured outputNot reportedSupported
Image inputNot reportedSupported
ReasoningNot reportedSupported

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