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Google Gemini Nano Banana 2 Lite interface displaying a generated image of a banana with pricing details, alongside…

Google Launches $0.034 Image Model, Video API for Gemini

Google launched Nano Banana 2 Lite ($0.034/image, 4-second generation) and Gemini Omni Flash ($0.10/second video API), targeting high-throughput developer pipelines.

·13h ago·4 min read··12 views·AI-Generated·Report error
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Source: the-decoder.comvia the_decoderSingle Source
What new AI models did Google launch for image and video generation?

Google released Nano Banana 2 Lite ($0.034/image at 1K resolution, 4-second generation) and Gemini Omni Flash ($0.10/second for up to 10-second video clips via API). The models target high-throughput developer pipelines and conversational video editing.

TL;DR

Nano Banana 2 Lite: $0.034/image, 4-second generation. · Gemini Omni Flash API: $0.10/second for video generation. · Google recommends chaining both models for image-to-video.

Google launched Nano Banana 2 Lite on June 30, 2026, generating images in four seconds at $0.034 per image. The company also released Gemini Omni Flash, its first API-native video generation model, at $0.10 per second of output.

Key facts

  • Nano Banana 2 Lite costs $0.034 per image at 1K resolution.
  • Image generation takes four seconds.
  • Gemini Omni Flash costs $0.10 per second of video output.
  • Video clips are limited to ten seconds.
  • Audio references and scene extensions are not supported yet.

Google released two new generative AI models on June 30: Nano Banana 2 Lite for fast text-to-image generation and Gemini Omni Flash for video generation and editing via the API. According to The Decoder

Nano Banana 2 Lite: Speed Over Quality

Nano Banana 2 Lite, accessible via the API as gemini-3.1-flash-lite-image, generates a 1K-resolution image in four seconds at a cost of $0.034 per image. Google positions it for "fast ideation and high-throughput developer pipelines," not for premium output. The model brings the Nano Banana family to three production tiers: Lite (speed), Nano Banana 2 (balanced), and Nano Banana Pro (quality). Google explicitly considers the original Nano Banana (Gemini 2.5 Flash Image) outdated.

The model is rolling out across Google's consumer products, including AI Mode in Google Search, the Gemini app, NotebookLM, Google Photos, Stitch, Google Flow, and Google Ads. Despite the speed focus, Google claims reliable prompt following, consistent character rendering, and readable text in generated images — unverified claims given the lack of independent benchmark scores in the announcement.

Gemini Omni Flash: First Video API from Google

First shown at Google I/O, Gemini Omni Flash is now available to developers through the Gemini API and Google AI Studio. It combines Gemini's multimodal reasoning with video generation and editing at $0.10 per second of output, matching Veo 3.1 Fast pricing. The model supports conversational video editing via natural language and can mix input formats (text, images, video).

Nano Banana 2 Lite replaces the original Nano Banana model, which was based on Gemini 2.5. | Image: Google

Limitations are significant: Gemini Omni Flash currently only generates ten-second clips. Audio references and scene extensions aren't supported in the API yet. The API schema accepts video references but Google did not disclose latency or resolution details. Google recommends chaining Nano Banana 2 Lite with Gemini Omni Flash to go from a static image to an animated video.

Developer Implications

The pricing undercuts most competitors for image generation: OpenAI's DALL-E 3 costs roughly $0.04 per image at standard resolution, while Stable Diffusion 3.5 on Replicate runs about $0.008 per image but requires self-hosting for throughput. At $0.034 per image, Nano Banana 2 Lite is positioned for high-volume use cases where four-second latency is acceptable. For video, $0.10 per second matches Veo 3.1 Fast but undercuts OpenAI's Sora Turbo ($0.20 per second) and Runway Gen-3 Alpha ($0.15 per second). The ten-second clip limit, however, restricts use to short-form content — social media ads, product demos, or animated thumbnails.

The broader signal: Google is commoditizing image generation while opening the video API floodgates. The chaining recommendation suggests a pipeline play — generate cheap images, animate them into videos — which could reshape how developers build media generation workflows. Google's $11 billion per year SpaceX compute commitment (announced June 21) and its 3 million TPU booking with Intel (June 25) provide the infrastructure backbone for this push.

Unique Take

Google's strategy here is volume-first, not quality-first. By offering a $0.034 image model and a $0.10/second video model with explicit chaining, Google is betting that developer pipelines will optimize for cost and speed rather than output fidelity. This contrasts with OpenAI and Anthropic, which prioritize model quality and safety guardrails over raw throughput. The ten-second video cap is a deliberate constraint — it forces developers to treat video as a short-form additive layer, not a standalone production tool. Watch for Google to raise the clip length once it captures API share.

Image description

What to watch

Watch for Google to extend Gemini Omni Flash beyond ten-second clips, likely by Q4 2026, and for independent latency/quality benchmarks on Nano Banana 2 Lite. The chaining workflow adoption rate — how many developers actually use both models together — will signal whether Google's pipeline strategy gains traction.


Source: the-decoder.com


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AI-assisted reporting. Generated by gentic.news from 2 verified sources, fact-checked against the Living Graph of 4,300+ entities. Edited by Ala SMITH.

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AI Analysis

Google's dual-model launch is a deliberate commoditization play. By pricing image generation at $0.034 and video at $0.10/second, Google is forcing competitors into a race to the bottom on cost per output. The chaining recommendation is the clever part: developers who adopt Nano Banana 2 Lite for images are naturally inclined to use Gemini Omni Flash for animation, creating a vendor lock-in effect. This mirrors Google's strategy with TPU pricing — low margin on individual outputs, high volume across integrated services. Nano Banana 2 Lite's positioning as an "outdated" replacement for the original Nano Banana is notable. Google is iterating model families at a pace that makes prior versions obsolete within months, similar to its Gemini Flash cadence. For developers, this means constant migration risk but lower costs. The lack of independent benchmarks in the announcement is a red flag — Google is asking developers to trust its quality claims without third-party validation. The ten-second video cap is a strategic constraint, not a technical one. Google wants to own the short-form video generation market (TikTok clips, social ads, product demos) while leaving longer-form production to specialized tools. If developers accept the cap for the price, Google wins API share; if they demand longer clips, Google can extend the limit as a competitive moat.
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