In AI image generation, 1K resolution means roughly 1,024 pixels on a side — most commonly a 1024×1024 square, sometimes ~1024×768 — about one megapixel total. It's a speed/cost tier label, not a strict standard: 1K models generate faster and cheaper than 2K (~2048px) or 4K (~4096px) tiers.
Read "1K" as shorthand for the ~1-megapixel output tier: the "K" counts pixels along one dimension in units of 1,024, so 1K ≈ 1024px, 2K ≈ 2048px, and 4K ≈ 4096px. In AI image tools the most common 1K shape is a 1024×1024 square, though rectangular variants like ~1024×768 also get labeled 1K — the tier describes total pixel budget, not one fixed dimension pair.
What matters practically is that 1K is a deliberate speed/cost trade-off, not a defect. A 1K image carries a quarter of the pixels of a 2K image and a sixteenth of a 4K image, which is exactly why 1K-tier models generate faster and cost less per image. Nano Banana 2 Lite is the clearest current example: it outputs at 1K by design, runs 2.5x faster than Nano Banana 2, and prices at roughly 3 cents per image — about 1,000 images for $30, one-quarter the cost of Nano Banana Pro. The 1K ceiling is what buys that speed and price, and Google's own benchmarks show the tier no longer implies bottom-rung quality.
Use the tier accordingly: 1K is sized for exploration — mood boards, concept variants, drafts, and pre-visualization frames, where you generate many options and judge composition rather than print-level detail. When a frame needs to survive close inspection or final delivery, regenerate or escalate it on a higher-resolution model such as Nano Banana Pro; inside invideo, the invideo agent handles that routing for you, running high-volume passes on the 1K tier and sending only selected frames to the premium model. This lower-res-first pattern is standard across AI image generation broadly — most models produce at a modest native resolution and rely on upscaling for larger outputs, so a 1K label on a model spec tells you where it sits in that pipeline, not whether its images are good.
Watch some of these to see what works for you:
the cheapest model is no longer the worst model
— invideo's creative team