Nano Banana 2 Lite

Machina Muse published a comparative engineering benchmark on July 3, 2026, contrasting Gemini Nano Banana 2 with Nano Banana 2 Lite. Per its specification matrix, Nano Banana 2 operates at 2K with dynamic 9:16 support, around 15s average latency, and high typography, targeting high-budget anime keyframes and complex m The post places Nano Banana 2 Lite in a broader visual-generation landscape alongside FLUX Dev Schnell (1024x1024 / 2K, 25s, exceptional typography) and Z-Image Turbo (1024x1024, 12s, standard typography). It frames Nano Banana 2 Lite as the speed-optimized sibling of Nano Banana 2 rather than a replacement, which is c

Nano Banana 2 Lite was announced on June 30, 2026 as the speed-and-cost tier of Google's Nano Banana image family, sitting below full Nano Banana 2 and Nano Banana Pro. According to eesel.ai, Google's DeepMind model page frames it as built to deliver high-speed generation and editing at the lowest cost yet, producing a The eesel.ai pricing breakdown details Gemini API rates for Nano Banana 2 Lite: input $0.25 per 1M tokens, text/thinking output $1.50 per 1M tokens, and image output $30 per 1M tokens on the Standard paid tier, with the Batch tier priced at exactly half across every line item ($0.125, $0.75, and $15 per 1M tokens). The

Google released Nano Banana 2 Lite on June 30, 2026, positioning it as a faster and cheaper image generator than its predecessor within the Nano Banana family (which itself sits on Gemini 3.1 Flash). The model is optimized for high-volume, rapid workflows rather than maximum per-image fidelity, in contrast to Nano Bana The TechCrunch write-up explicitly names Nano Banana 2 Lite and traces its lineage to the original Nano Banana (Gemini 3.1 Flash, summer 2025) and Nano Banana 2 (February 2026), confirming the variant identity for the subject model. Quoted performance and pricing figures are paraphrased from Google's own claims via the

K-Dense published an independent scientific-figure benchmark of Nano Banana 2 Lite on June 30, 2026, evaluating 240 generated figures across four image models, 20 prompts, and three samples per prompt with identical prompts and blind rubric scoring. Median latency for a 1K scientific figure was approximately 3.8 second Under K-Dense's explicit overall score weighting of 70% quality and 30% speed, Nano Banana 2 Lite ranked first overall at 76.9, reflecting its strength as a repeated-call tool in research workflows even though it is not the strongest single-figure generator. The benchmark positions Nano Banana 2 Lite as the combined sp

Developer Guillaume Laforge published a hands-on Java tutorial on June 30, 2026, demonstrating how to invoke Nano Banana 2 Lite and Gemini Omni Flash via the Gemini Interactions API Java SDK. The model identifier for Nano Banana 2 Lite is given as gemini-3.1-flash-lite-image, matching the subject's exact API name. Imag Laforge also notes that Omni Flash (gemini-omni-flash-preview) handles video via the VIDEO response modality and requires at least SDK version 1.0.0-RC3. The tutorial confirms the announcement alongside Google's own blog post and provides the first third-party confirmation of the gemini-3.1-flash-lite-image identifier

Synthszr's product ranking page matches the exact API designation gemini-3.1-flash-lite-image and confirms Nano Banana 2 Lite is Google's fastest and most cost-effective image generation model in the Nano Banana family, based on the Gemini 3.1 Flash-Lite architecture. It generates images in approximately 4 seconds at 1 The Synthszr excerpt also lists reported key benchmarks — GPQA Diamond 86.9%, MMMU Pro 76.8%, text-model Arena Elo 1432, and text-to-image Elo 1251 for Nano Banana 2 Lite — alongside multimodal support (text, image, video, audio, and PDF as input; image output capped at 1K resolution across 14 aspect ratios), pricing o