Ideogram 4.5 对比 Nano Banana 2：验证 Ideogram 在自家发布视频中提出的说法

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.

该主张，以及为支持它而提供的内容

撇开视频不谈，这一说法包含两部分，而二者的证据地位截然不同。

可测量的部分是漂移。Ideogram 的表述是，每一次编辑都会引入“像素偏移、颜色变化和纹理伪影”，而 4.5“减少了这种漂移，在多轮编辑中保留细节”。这是一个基准测试可以打分的属性——依次应用同样的六项编辑，测量每一轮像素偏离原图的程度——而目前没有人这么做。Artificial Analysis 在其编辑竞技场中对单次编辑质量打分，在其文生图竞技场中对单次生成质量打分。多轮漂移不是这两个榜单上的一个维度，这就是为什么今天“几次编辑后就无法使用”无法被这两家实验室之外的任何人检验。

可核查的一点是，Ideogram 的对比是提示词匹配的，而且不依赖评判。相同的编辑被应用到四个模型上，输出结果被展示出来，然后让读者自行认同。这是一种合理的演示形式，也是大多数图像模型发布时的论证方式。这不是一种测量，而对它最诚实的解读是：Ideogram 已经表明，在其自己选择的一组提示词上，它的模型比三个被点名的竞争对手表现更好——这有一定价值，但并不等同于基准测试结果。

Nano Banana 2 现在究竟是什么

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.

这两个模型，逐行来看

• 已发布 — Ideogram 4.5 于 2026 年 9 月 30 日；Nano Banana 2（Gemini 3.1 Flash Image）于 2026 年 2 月 26 日

• 每张图像价格 — Ideogram 4.5 从极低档的 $0.008 到带源图像时高档的 $0.22，其中低档 $0.03、中档 $0.06、高档 $0.10；Nano Banana 2 在 1024 下约 $0.067，在 2048 下 $0.101，在 4K 下 $0.151

• 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

• 独立编辑排名——Nano Banana 2 以 Elo 1,108 位列第八（共 15,644 个样本）；Ideogram 4.5 (High) 以 1,064 位列第二十三（共 2,382 个样本）

• 独立文本到图像排名 — Nano Banana 2 以来自 18,454 个样本的 Elo 1,125 位列第六；Ideogram 4.5（High）以来自 2,247 个样本的 Elo 1,014 位列第三十四

• 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

• 参考图像 — Nano Banana 2 最多支持五个一致角色和十四个物体；Ideogram 4.5 在所有档位均接受源图像，High 以下不额外收费

价格比较，做到位

粗略比较这两张费率卡会偏向 Ideogram 4.5，而认真比较则不会。

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.

那些董事会，以及那个不讨好任何人的数字

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.

关于这一点，有两点值得直说。第一，排序是真实的：在两个榜单上，区间都不重叠。第二，它在某个要紧的方向上只是暂时性的，因为对于一个上线仅一天的条目，模型的 Elo 通常会随着投票累积而变化，而最初的样本会偏向发布当天正在关注的人。Ideogram 4.5 或许能缩小其中一部分差距。凭它自己页面上所做的那种比较，它不会弥合编辑 Elo 的二十三点差距，但这个数字还没有定论。

不讨好任何人的数字，正是榜单上标出的价格本身。Artificial Analysis 在编辑榜单上将 Ideogram 4.5 (High) 列为每千张图像 220 美元——这恰好是 Ideogram 自家 High-with-source 档位的 0.22 美元——并将 Nano Banana 2 列为 67 美元。因此，这个独立榜单与两份价目表都一致，却仍把更便宜的模型排在编辑维度更高的位置。这正是这场对决的关键：截至今天，实测更强的编辑模型是那个预算款，而自称编辑王者的模型收费高三倍，测得的分数却比它低二十三点。

调用其中任意一个

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 不在目录中。它可通过 Ideogram 自身的应用和 API 获取——端点为 /v2/image/generate/ideogram-4-5 和 /v2/image/precise-edit/ideogram-4-5——也可通过发布合作伙伴获取，我们宁愿这样说明，也不愿暗示一条并不存在的途径。

这种安排之所以有用而非别扭，原因在于这场对比是你应该亲自运行的测试，而且它成本较低的一侧已经只需一个密钥就能搞定。自动故障转移意味着，指向 Nano Banana 2 的对比测试框架不会因为单个提供商在运行中途出现波动而崩溃，而路由 DSL 会按请求固定模型，因此，在你今天就能调用的模型与必须单独注册才能使用的模型之间做一场比试，至少能让基线保持不变。有一点需要注意并带入那项测试：编辑评测板只对单次编辑打分，所以要衡量 Ideogram 实际宣称的能力——图像能否连续经受六次编辑——就得自己编写测试框架，而不是借用现成的。

哪一个该放进你的流水线？

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.

能改变这一判定的是一个多轮漂移基准测试。Ideogram 在其自己的发布视频中点名了 Nano Banana 2，并断言其输出在几次编辑后就会崩坏；这一断言是价格溢价的全部依据，它是可测试的，而没有任何独立评审委员会对其进行测试。在有人这样做之前，诚实的立场是：这一说法看似合理、未经证实，并且指向的正是你今天就能从我们的产品目录中调用的那个模型。

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.