Ideogram 4.5 vs Nano Banana 2: Testing the Claim Ideogram Made in Its Own Launch Video

Ideogram 4.5 launched on 30 September 2026 with an unusual piece of marketing: it names the competition. The model page runs a side-by-side of the same edits applied to Ideogram 4.5, GPT Image 2.5 Sunburst, Nano Banana Pro and Nano Banana 2, the last of which is Nano Banana 2, the Gem​in 3.1 Flash Image checkpoint, in production since 26 February 2026. The verdict Ideogram prints under the video is blunt — "GPT Image and Nano Banana outputs become unusable within a few edits, while Ideogram 4.5 stays clean edit after edit." Naming a rival in your own launch asset is a commitment. It means the claim is checkable, and it means the model that gets checked is the one people already have wired into Gem​in, Search and Flow. This is what that claim looks like against the public record.

The claim, and what is offered to support it

Strip the video away and the claim has two parts, and they have very different evidentiary status.

The measurable part is drift. Ideogram's framing is that every edit introduces "pixel shifts, color changes, and texture artifacts," and that 4.5 "reduces this drift, preserving details across multi-turn edits." That is a property a benchmark could score — apply the same six edits in sequence, measure how far the pixels walk from the original at each turn — and nobody currently does. Artificial Analysis scores single-edit quality in its editing arena and single-generation quality in its text-to-image arena. Multi-turn drift is not an axis on either board, which is why "unusable within a few edits" cannot be checked by anyone outside the two labs today.

The checkable part is that Ideogram's comparison is prompt-matched and judge-free. The same edits are applied to four models, the outputs are shown, and the reader is asked to agree. That is a legitimate demo format and it is how most image-model launches argue. It is not a measurement, and the honest reading of it is that Ideogram has shown its model holding up better than three named competitors on a prompt set it chose — which is worth something, and is not the same thing as a benchmark result.

What Nano Banana 2 actually is now

G​oogle's model is the incumbent in this matchup and it is worth stating precisely, because the Ideogram page compares against it while it has been in production for seven months.

Nano Banana 2 is the consumer name for Gemini 3.1 Flash Image. It shipped to the public on 26 February 2026 and reached general availability for developers with the model identifier gemini-3.1-flash-image; it is the default image generator across the G​emini app, G​oogle Search's Lens and AI Mode surfaces, Flow, and G​oogle Ads. That distribution is the part Ideogram's video does not engage with. Whatever the edit quality difference is, Nano Banana 2 is not a model you adopt — it is a model your users already have, and the question for a team is usually whether to pay for something better rather than whether to switch.

Its capability sheet is a generalist's: up to five consistent characters and fourteen objects in one prompt, 4K output with the extreme 1:4 and 1:8 ratio presets that banner formats need, in-image text translation into other languages with layout preserved, web-grounded generation, configurable thinking levels, SynthID watermarking and C2PA provenance metadata on every output. G​oogle prices it in output tokens, which resolves to roughly $0.067 per 1024×1024 image, about $0.101 at 2048×2048 and around $0.151 at 4K, with batch mode at approximately half and text input billed separately at $0.25 per million tokens.

The two models, line by line

• Released — Ideogram 4.5 on 30 September 2026; Nano Banana 2 (Gemini 3.1 Flash Image) on 26 February 2026

• Price per image — Ideogram 4.5 from $0.008 at Very Low to $0.22 at High with a source image, splitting $0.03 Low, $0.06 Medium, $0.10 High; Nano Banana 2 about $0.067 at 1024, $0.101 at 2048 and $0.151 at 4K

• Pricing basis — Ideogram charges per image by rendering speed and output size, with resolution from 1K to 2K changing nothing; G​oogle charges in output tokens, so cost scales with pixels delivered

• Independent editing rank — Nano Banana 2 eighth at Elo 1,108 from 15,644 samples; Ideogram 4.5 (High) twenty-third at 1,064 from 2,382 samples

• Independent text-to-image rank — Nano Banana 2 sixth at Elo 1,125 from 18,454 samples; Ideogram 4.5 (High) thirty-fourth at Elo 1,014 from 2,247 samples

• Demonstrated edit resolution — Ideogram shows a colourway edit inside a 4,016 × 6,016 pixel, 24.2-megapixel source with crop edges preserved for stitching back; G​oogle's ceiling is 4K output, which is a generation spec rather than an in-place edit claim

• Distribution — Nano Banana 2 is the default image engine of G​emini, G​oogle Search and Flow; Ideogram 4.5 is delivered through Ideogram's own app, its API endpoints and launch partners

• Reference images — Nano Banana 2 up to five consistent characters and fourteen objects; Ideogram 4.5 accepts source images on every tier, at no extra charge below High

The price comparison, done properly

Comparing these two rate cards naively favours Ideogram 4.5, and doing it properly does not.

At the bottom of Ideogram's ladder a Very Low render costs $0.008 and a Low render $0.03 — both well under G​oogle's $0.067 at 1024. At the top, a High generation with a source image costs $0.22, or 3.3× G​oogle's 1024 price. So the answer to "which is cheaper" is entirely a function of which tier your pipeline can accept, and Ideogram's tiers are rendering speed, not capability levels. A team that can ship a Low render pays less than half of G​oogle's price for the same nominal 2K output. A team doing precision work on a real asset pays three times as much, and the resolution and drift claims are what they are buying with it.

The subtlety is what each vendor's price does as the image gets bigger. Ideogram charges the same $0.10 for High at 1K and at 2K, and the same $0.008 for Very Low at either size — output size is free within the tier. G​oogle charges in output tokens, so 4K costs roughly 2.25× the 1024 price. If your workload is large-format and you can live with a faster render, that inversion is where Ideogram 4.5's ladder earns its keep.

The boards, and the one number that flatters nobody

On Artificial Analysis's text-to-image leaderboard, where both models are measured on the same votes, Nano Banana 2 is sixth at 1,125 from 18,454 samples and Ideogram 4.5 (High) is thirty-fourth at 1,014 from 2,247. On the editing board the gap narrows: 1,108 against 1,064. G​oogle's error bars are tight and Ideogram's are not — 1,002 to 1,025 at the text-to-image end — which is what one day of voting looks like.

Two things are worth saying plainly about that. First, the ordering is real: the intervals do not overlap on either board. Second, it is provisional in a direction that matters, because a model's Elo on a day-old entry typically moves as votes accumulate and the initial sample skews toward whoever was paying attention on launch day. Ideogram 4.5 might close some of that gap. It is not going to close twenty-three points of editing Elo on the strength of the sort of comparison its own page runs, but the number is not settled.

The number that flatters nobody is the price on the board itself. Artificial Analysis lists Ideogram 4.5 (High) at $220 per thousand images on the editing board — which is exactly Ideogram's own $0.22 High-with-source tier — and Nano Banana 2 at $67. So the independent board agrees with both rate cards and still places the cheaper model higher on the edit axis. That is the crux of this matchup: as of today, the measured editor is the budget one, and the model claiming the editing crown is charging three times as much to be measured twenty-three points below it.

Calling either of them

This is the rare case in this series where one of the two models is routable, and it is the one the subject model is measured against. G​oogle's image model is on OrcaRouter as google/gemini-3.1-flash-image-preview at $0.151 a call, provider list price passed through at 0% markup, so a G​oogle price change is live on our side the same day it happens. The routed identifier is G​oogle's preview snapshot; G​oogle's GA id for the same model is gemini-3.1-flash-image, and the rest of the G​emini image line is here too — google/gemini-3-pro-image-preview at $0.24, which is Nano Banana Pro — alongside the GPT-Image models and grok/grok-imagine-image, all behind one OpenAI-compatible endpoint.

Ideogram 4.5 is not on the catalogue. It is available through Ideogram's own app and API — the endpoints are /v2/image/generate/ideogram-4-5 and /v2/image/precise-edit/ideogram-4-5 — and through launch partners, and we would rather say that than imply a route that does not exist.

The reason that arrangement is useful rather than awkward is that this matchup is a test you should run yourself, and the cheap side of it is already on one key. Automatic failover means a comparison harness pointed at Nano Banana 2 does not fall over when a single provider wobbles mid-run, and the routing DSL pins the model per request, so a bake-off between a model you can call today and one you have to sign up for separately can at least hold its baseline constant. One caveat worth carrying into that test: the editing board scores single edits, so a head-to-head that measures what Ideogram actually claims — whether the image survives six edits in a row — is a harness you write, not one you can borrow.

Which one belongs in your pipeline

For most teams the answer is Nano Banana 2, and not because it is better at editing — because it is already everywhere. It is the default engine of the G​emini app and G​oogle Search, it takes five characters and fourteen objects in one prompt, it grounds on the web, it stamps SynthID and C2PA on output, and it is measured ahead of Ideogram 4.5 on both independent boards at three times less per image at the top of Ideogram's ladder. If your requirement is "generate this well, at volume, with provenance," the seven-month-old incumbent is the boring correct answer.

Ideogram 4.5 earns its place on one specific job: editing a real, large, existing asset in place. A 24-megapixel source edited at the crop boundary and stitched back without downsampling is not something Nano Banana 2 claims to do, and it is the operation Ideogram's $0.22 tier exists to price. If that is your workload, the premium is a real product decision rather than a markup. If it is not, you are paying three times G​oogle's price for a model currently measured lower.

What would change this verdict is a multi-turn drift benchmark. Ideogram named Nano Banana 2 in its own launch video and asserted its outputs break down after a few edits; that assertion is the entire basis for the price premium, it is testable, and no independent board tests it. Until one does, the honest position is that the claim is plausible, unproven, and pointed at the exact model you can already call from our catalogue today.

The rest of the G​emini image line is here too, behind one OpenAI-compatible endpoint — google/gemini-3-pro-image-preview at $0.24, the GPT-Image models and grok/grok-imagine-image, on the same key.