Seedream 5.0 Lite vs Nano Banana 2: Same-Prompt Test

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Quick answer: in our five-prompt test, Nano Banana 2 was the more precise instruction follower: it was the only one to get "exactly three apples" right and it drew a recognisable bench scraper. Seedream 5.0 Lite was the more literal composer: it kept scenes as sparse as the prompt described, framed the close-up we asked for, and left the unedited parts of a product photo closer to the original. Both rendered every word of a label and a five-line menu correctly. Seedream 5.0 Lite also costs less per image. This is one run per prompt, so read it as each model's tendencies, not a ranking.

How we tested

We ran five prompts through each model on 28 September 2026, one generation each, with no retries or cherry-picking:

• Models: Seedream 5.0 Lite and Nano Banana 2 (Gemini 3.1 Flash Image), the model in Fuser's Seedream node and the default in its Gemini Image node. We called both through fal; Fuser's Gemini Image node calls the same model through Google's Gemini API.

• Matched settings: the same prompt and seed (4242) for both. Seedream 5.0 Lite used its landscape 4:3 preset and returned 3072 × 2304; Nano Banana 2 used 4:3 at 2K and returned 2400 × 1792. For the edit test, both got the same 1024 × 1024 input image and returned 2048 × 2048.

• What we checked: every word and number against the prompt, object counts and positions, and what each model added or changed that the prompt did not ask for.

Test 1: a short product label

The prompt asked for a kraft coffee bag with three lines of label copy: "KILN ROAST", "Ethiopia Guji · Washed" and "250 g" in the bottom right corner.

• Seedream 5.0 Lite set all three lines correctly, including the middle dot, on a plain counter against a plain wall, which is all the prompt described.

• Nano Banana 2 also set all three lines correctly, then dressed the set with a plant, a cup, a wooden spoon and a person working in the background.

Verdict: a tie on text. Choose on styling. Seedream 5.0 Lite gives you a clean packshot to composite; Nano Banana 2 gives you a lifestyle scene without being asked.

Test 2: a five-line menu with prices

A denser text test: a chalkboard titled "TODAY" with five items and right-aligned prices.

• Seedream 5.0 Lite got every item and price right, with the prices in their own right-hand column and the board filling most of the frame.

• Nano Banana 2 also got every item and price right. It added dot leaders between items and prices and built a full bakery around the board: bread baskets, racks and customers.

Verdict: a tie on accuracy. Nano Banana 2 made the more finished-looking scene, and Seedream 5.0 Lite made the more usable menu graphic. Google says Nano Banana 2 can generate "legible, stylized text for infographics, menus, diagrams, and marketing assets" (Gemini API docs); ByteDance highlights Seedream 5.0 Lite "accurately rendering attributes such as letters, time, numbers, and colors" (ByteDance Seed). Both held up here. For longer copy, see our text-in-images roundup.

Test 3: counting and placement

The prompt asked for exactly three red apples and two green pears on a plate, a glass of milk on the right and a spoon on the left.

• Seedream 5.0 Lite drew four apples and two pears. The glass and spoon were in the right places.

• Nano Banana 2 drew three apples and two pears, with the glass on the right and the spoon on the left.

Verdict: Nano Banana 2. When the brief has a count, such as a product lineup or an item list, check Seedream's output before you use it.

Test 4: hands and texture

A close-up of floured hands shaping a sourdough loaf, with a brass bench scraper on the left.

• Seedream 5.0 Lite framed a true close-up with heavily floured hands, a flour-covered bench and strong window light. Its "bench scraper" is a bent brass sheet that doesn't look like the tool.

• Nano Banana 2 framed a wider shot with lighter flour on the hands and a busy bakery behind, but drew a realistic scraper with a brass handle.

Verdict: split. Seedream 5.0 Lite followed the framing and texture more closely; Nano Banana 2 got the object right.

Test 5: editing one product photo

Both models got the same product photo and one instruction: change the blue stripe to forest green suede and swap the grey backdrop for a sunlit terracotta wall, keeping everything else as it was.

• Seedream 5.0 Lite made both changes, kept the shoes and camera angle, and left the concrete plinth close to its original grey. It interpreted "sunlit" as hard diagonal sun streaks across the wall.

• Nano Banana 2 made both changes and kept the shoes and camera angle. It relit the whole scene to match the warm wall, so the white leather and the plinth took on a warm tint.

Verdict: Seedream 5.0 Lite for strict preservation. Nano Banana 2's relight looks more natural, but it changes surfaces you asked it to keep. If you want that coherence, say so; if you don't, name what must keep its colour. For more editing models, see best AI image editing models.

What each model offers beyond this test

• Nano Banana 2 (Gemini 3.1 Flash Image): aspect ratios from 21:9 to 9:16, output from 512 px to 4K, up to 14 reference images in the Gemini API, and optional grounding in Google Search. Every image carries a SynthID watermark (Gemini API docs, Google). In Fuser, the Gemini Image node takes up to 10 input images, offers 1K, 2K or 4K, and has a Search Grounding toggle and an optional system prompt.

• Seedream 5.0 Lite: released by ByteDance Seed in February 2026 with multi-step reasoning and reference-based style transfer. ByteDance calls it a "relatively small model" with "room for improvement in structural stability, realism, and aesthetics" (ByteDance Seed). In Fuser, the Seedream node takes up to 10 input images and outputs at 2K by default, with 3K and 4K auto sizes and fixed presets.

• Price: on fal's list prices on the test date, Seedream 5.0 Lite was $0.035 per image and Nano Banana 2 was $0.08 per image at 1K, rising to 1.5 times that at 2K (fal: Seedream 5.0 Lite, fal: Nano Banana 2).

Run your own comparison

Your brief will separate these two models better than any general test. In Fuser, put the prompt in one text node and wire it into a Seedream node and a Gemini Image node side by side, as in the cover image. Fix the seed on the Seedream node (the Gemini Image node has no seed control), run both, and keep the one that fits. The winner can go straight into an image-to-video model or the Compositor on the same canvas. For model-specific prompting, see the Nano Banana prompt guide and the Seedream prompt guide; for other head-to-heads, see Nano Banana vs GPT Image and Flux vs Nano Banana.