Google Launches Nano Banana 2 Lite and Gemini Omni Flash

On June 30, 2026, Google DeepMind released Nano Banana 2 Lite (model ID gemini-3.1-flash-lite-image), the fastest and cheapest entry in its Nano Banana image family, generating a 1K-resolution image in about 4 seconds for $0.034. It slots below Nano Banana 2 (Gemini 3.1 Flash Image) and Nano Banana Pro (Gemini 3 Pro Image) in a three-tier lineup, and Google recommends it as the direct upgrade path for developers still on the original Nano Banana (gemini-2.5-flash-image), now called the "legacy model." Alongside it, Gemini Omni Flash (gemini-omni-flash-preview), first previewed at Google I/O, entered public preview for developers through the Gemini API and AI Studio, offering conversational video editing and generation from text, image, and video inputs at $0.10 per second of output, matching Veo 3.1 Fast pricing. Current limitations include a 10-second maximum video length, restricted audio-reference support, and imperfect character consistency across scene changes, according to Google's own release notes.

Nano Banana 2 Lite is rolling out simultaneously to consumer surfaces including AI Mode in Search, the Gemini app, NotebookLM, Google Photos, Stitch, Google Flow, and Google Ads. Google is promoting a specific chained workflow through demo apps like Anywhere, Space Lift, and Omni Product Studio: generate a still image with Nano Banana 2 Lite, then animate it with Omni Flash, preserving context across up to three sequential edits via the Interactions API. Independent reporting from TechCrunch confirms the pricing and positioning, noting the release lands three months after February's Nano Banana 2 launch and amid continued industry debate over AI-generated "slop" even as investment in generative media tooling accelerates. Both models use SynthID watermarking for content provenance.

Teams already on the original Nano Banana can swap in Nano Banana 2 Lite with no architecture changes for an immediate speed and cost improvement. The bigger design decision is whether to adopt the Interactions API pattern for multi-turn image-to-video pipelines, since Google is clearly optimizing its tooling and demo apps around that specific workflow rather than treating image and video generation as separate products.

Pricing pressure across the generative media market is intensifying as providers compete on cost per generation alongside quality, a dynamic likely to accelerate further price cuts or new tiered offerings from competing image and video model vendors over the coming months.