
Ideogram Vector 1.0 vs Nano Banana 2: Why "Just Trace It Later" Costs More Than It Looks
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Search for how to get vector artwork out of an AI image model and you will find the same advice on a dozen sites: generate in Nano Banana 2, then run the result through a tracer. It sounds free, it sounds fast, and it is the single most expensive shortcut in design workflows — not because the trace costs money, but because of what it silently throws away. Ideogram Vector 1.0, released on October 22, 2026, is the first model from a major vendor that skips the workaround entirely and emits SVG directly.
The workaround is not stupid. Until this month it was the only option, because Nano Banana 2 — Google's Gemini 3.1 Flash Image — has never produced vector output at any tier. What changed is that there is now a second path, and the comparison people should be making is not image quality. It is what survives the conversion.
Where the advice comes from
Nano Banana 2 arrived as a preview on February 26, 2026 and reached general availability in the middle of the year. It is a strong generalist image model: up to fourteen reference images, Google Image Search grounding, configurable thinking levels, video-to-image input including YouTube URLs, and a context window around 131,000 tokens. Outputs carry SynthID watermarks and C2PA metadata. On Artificial Analysis's editing leaderboard the base Nano Banana 2 row sits mid-table at 1,124 Elo across 16,583 samples, while the newer Nano Banana 2.1 — released in October 2026 — sits fourth at 1,152 Elo on 6,800 samples.
None of that includes an SVG. So the ecosystem filled the gap with tracers: VectoSolve, Illustrator's Image Trace, Inkscape's Potrace, a dozen web tools that will convert a PNG to SVG in one click. They work. They just do not produce the thing most people think they produce.
What an autotrace actually produces
A tracer finds regions of similar colour and fits curves around them. That is the whole algorithm. It has no concept of a letterform, a logo mark, a gradient mesh or a design layer, because none of that information survives rasterisation in the first place.
The consequences are specific and predictable:
• Text becomes outlines. Every letter is a closed path. The wordmark "NORTH" is no longer five characters; it is a few dozen anchor points that happen to look like characters. Typo fixes become node surgery.
• Layers become one layer. A tracer emits a flat soup of paths, sometimes grouped by colour, never by meaning. You cannot select the icon independently of the background because the concept of "icon" does not exist in the output.
• Gradients become bands or meshes. A smooth two-stop gradient either flattens into a solid or is approximated by dozens of stepping shapes. At small sizes it looks fine; at a metre wide the banding is obvious.
• Curves get noisy. Tracing a 1,600-pixel source produces wobbly edges that a human would have drawn as a clean arc. Designers then spend their time simplifying nodes, which is the opposite of what vector was supposed to buy.
• File size balloons. A traced logo routinely lands in the hundreds of kilobytes of path data for something that a real vector file expresses in a few hundred bytes.
The result is technically a vector file. It is not a design asset. If all you needed was a scalable silhouette — a sticker, a single-colour cut file, a watermark — the trace is genuinely sufficient and you should keep doing it.

What the direct path contains instead
Ideogram Vector 1.0's text-to-vector endpoint, POST /v2/svg/generate/ideogram-vector-1, takes a prompt of up to 9,500 characters with optional reference images and returns SVG. Ideogram claims the output arrives as individually movable, rotatable and recolourable elements with gradients and typography preserved. That is the vendor's description and it has not been independently tested — but the architectural difference is not in dispute: a model composing in vector space can assign meaning to a shape, and a tracer working backwards from pixels cannot.
The API details worth knowing before you build on it:
• Quality tiers — low, medium and high, defaulting to medium, at $0.13, $0.16 and $0.20 per generated SVG. High quality with reference images is $0.32.
• Aspect ratio — defaults to auto with eighteen enumerated values.
• Dry run — dry_run: true returns a price quote without generating or billing. Useful for estimating a batch before you commit.
• Conversion — POST /v2/svg/vectorize/ideogram-vector-1 takes a JPEG, PNG or WEBP up to 50 MB, with mode set to simple for fewer shapes or default for finer detail, at a flat $0.10.
The honest case for Nano Banana 2
Comparing a general image model to a vector generator on vector output is a rigged fight. Here is where Google's model is simply better, and where the trace workaround is the correct answer.
• Photographic realism — people, products, scenes, lighting. Ideogram Vector 1.0 is not in this business and makes no attempt to be.
• Reference fidelity at scale — fourteen reference images against Ideogram's handful, with grounding through Google Image Search for real-world subjects.
• Resolution — up to 4K in preview, against a native SVG whose fidelity at large scale depends entirely on how clean the geometry is, not on a pixel count.
• Provenance tooling — SynthID and C2PA are baked in, which matters if your organisation has an AI-content disclosure policy.
• Ecosystem — it is the default image model across Gemini surfaces and has been in production for most of 2026, which is more than can be said for a model released yesterday.
If the deliverable is a photograph, a hero image, a storyboard frame or a mockup, use Nano Banana 2 and never think about SVG again.

Price, done properly
Google bills Nano Banana 2 by token, at roughly $0.50 per million input and $3.00 per million output tokens, with the per-image cost depending heavily on resolution. Artificial Analysis's price column lists $670 per thousand images for the Nano Banana 2 row it tested — a figure that reflects the resolution and settings of that test, not a flat rate. For the newer 2.1 row, the same column shows $33.60 per thousand. Treat any single per-image number for this family as conditional.
Ideogram Vector 1.0 is simpler: a fixed price per file, published per tier. At medium quality that is $0.16.
Now add the invisible line item. A designer cleaning up a traced logo — simplifying nodes, rebuilding text, separating layers — spends between fifteen minutes and an hour. Call it $15 to $60 at a $60 hourly rate. The trace saved sixteen cents and cost twenty to sixty dollars, and that is before the second revision round when the client wants the wordmark in a different weight.
That is the whole economic argument, and it does not require the vector model to be cheaper per generation, because it is not. It requires you to count the hour after the file arrives.
The ten-minute test
Do not take either vendor's word for any of this. Run it.
• Generate a wordmark in Nano Banana 2 at 2K. Trace it with whatever tool you already have. Open the SVG in Illustrator or Figma and count the objects.
• Click a letter. See whether you selected a character or a path.
• Change one fill colour. Time how long it takes and note whether the change is exact.
• Scale both versions to a metre wide and compare the curves at 200 percent zoom.
• Generate the same brief in Ideogram Vector 1.0 at high quality, thirty-two cents with a reference, and repeat the four checks.
Two files, twenty cents, ten minutes. You will know which workflow your team should standardise on, and you will know it for your brief rather than for a benchmark's.

What this means if you already run Nano Banana 2
You should probably keep it. The realistic setup for most teams is not a migration, it is a split: generate and iterate where the model is strong, produce final vector assets where the format is strong, and stop pretending one model does both. Conversion at ten cents a file is cheap enough to test on real work, and the layer-grouping limitation means it is a bridge for single assets rather than a foundation for a design system.
Nano Banana 2 is available through OrcaRouter as Gemini 3.1 Flash Image, on the same key as 200-plus other models at provider list price with 0% markup — which is the useful property here: you can run the raster half of this workflow without adding a vendor, and still call Ideogram's vector API directly for the file. Automatic failover matters more than usual on the raster side, where a preview-tier model can be throttled at the worst possible moment.
The workaround was reasonable when there was no alternative. There is one now, it costs sixteen cents, and the honest thing to do is measure whether it actually saves you the hour.
