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OpenAI's Images 2.5 ties Nano Banana 2 at three categories each in Decrypt's rerun

Decrypt's rerun gives three of six categories to Google and the rest to OpenAI. The 50% latency cut is OpenAI's own figure, measured against Images 2.0, and the review does not include prices for the two new API tiers.

The Investor · Invest desk

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Illustration accompanying OpenAI's Images 2.5 ties Nano Banana 2 at three categories each in Decrypt's rerun
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What happened

  • OpenAI shipped ChatGPT Images 2.5 on September 8, claiming sharper detail, more precise editing and up to 50% lower latency than its predecessor.
  • Two models went into the API alongside it: GPT-Image-2.5 Flare as the fast default and GPT-Image-2.5 Sunburst built for premium editing precision.
  • In the text-heavy street scene, Images 2.5 rendered its own graffiti tag with an extra L and lost the apostrophe in KELLERMAN'S, and Decrypt handed that category to Nano Banana 2.
  • The Google entrant was Nano Banana 2, its name for Gemini 3.1 Flash Image, with the slower Nano Banana Pro left out so the two fast models met on the same tier.

Why it matters

  • Who has to decide decision With the categories split evenly, the pick turns on which defect a given job can absorb, so a poster shop and a mood-board tool inside the same company will reasonably choose different models.
  • What it limits constraint OpenAI's 50% latency figure is measured against its own Images 2.0, so any team comparing Flare with Gemini 3.1 Flash Image has to time both itself before it can budget throughput.
  • Who's exposed exposure A team standardising on OpenAI for customer-facing text carries the per-generation defect risk: the yellow cast and the oversharpening each cleared only when the next model shipped.
  • What's now possible capability Sketch, prompt sharing, inline comments on image regions and poster and merch templates change what a design team can do around the model, and a side-by-side image test scores none of it.

In May the same evaluator ran eight categories, and GPT Image 2 took more of them than Nano Banana 2 did [9]. No ties were reported, so "more of eight" means five at minimum, or 62.5%; three of six is 50% [16]. OpenAI's share of scored categories went down, in other words, in the release whose pitch is precision. The rounds are not strictly comparable, since the six categories were carried over or adapted from the earlier ones and fed as identical prompts to both models [10].

The 50% is OpenAI's own figure, and it compares Images 2.5 with Images 2.0 [2]. What Decrypt scored is image content, prompt by prompt [17]. The review does not include prices for Flare, Sunburst, or the new high and max quality tiers that now sit above where Images 2.0 topped out [15][14]. Until those land, a three-three split cannot be converted into a cost per acceptable image, and a cost per acceptable image is what an operator running thousands of poster variants actually needs.

Split by workload, the two models fail differently. For output a customer reads, what breaks is legibility, and Decrypt's text-heavy street scene put two slips on Images 2.5 against a single garbled payphone sticker on Google's side [6][5]. For output where atmosphere carries the job, Images 2.5 took the steampunk aerial by a clear margin [13].

OpenAI's image releases have run one signature defect per generation. GPT Image 1 carried a warm yellow cast the company never fully explained and never fully fixed [11]. GPT Image 2 traded it for oversharpening whenever a prompt stacked too many constraints [9]. This round, color balance and detail held at full complexity, and Decrypt reports neither defect [12].

Two legibility slips in one image is thin evidence for a third defect in that sequence, and the way to settle it is volume: if misspelled signage recurs across a few hundred prompts, the fix was a swap. I'd expect Google to hold the edge on anything with words in it, and the case against me is in Decrypt's own summary, which puts the swing between the two down to a few checkable mistakes instead of very noticeable issues [8].

What to watch

  • Published per-image prices for Flare and Sunburst at the new high and max tiers. Those prices would let the three-three split be costed.
  • Whether misspelled or garbled text recurs for Images 2.5 across a larger prompt set. If it recurs, that is the third generation's signature defect.
  • A rerun against Nano Banana Pro, the slower Google model Decrypt left out of this same-tier test.

Information, not investment advice. This story is general information about companies and markets, drawn from cited reporting. It is not a recommendation to buy, sell or hold any security; check the cited sources before acting.

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What the record supports and how the coverage leans. The claims behind it follow.

Reality

Evidence42
Adoption45
Hype gap+38
Incentives58
Confidence50
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Claim ledger

Ranked by verification strength, evidence, and original report placement.

  1. [1]

    ChatGPT Images 2.5 launched September 8 with sharper detail, more precise editing, and up to 50% lower latency than its predecessor.

    Reported Supported Source: decrypt.coView cited source
  2. [2]

    OpenAI says image-generation latency dropped by as much as 50% compared with Images 2.0.

    Reported Supported Source: OpenAI, via decrypt.coView cited source
  3. [3]

    Two new models, GPT-Image-2.5 Flare and GPT-Image-2.5 Sunburst, now sit in the API, with Flare as the fast default and Sunburst built for premium editing precision.

    Reported SupportedView cited source
  4. [4]

    Google's side of the test uses Nano Banana 2, Google's name for Gemini 3.1 Flash Image, not the slower, more deliberate Nano Banana Pro; Decrypt describes it as a same-tier matchup of OpenAI's fast-and-precise model against Google's.

    Reported SupportedView cited source
  5. [5]

    In the lettering-density test, Nano Banana 2 rendered almost everything cleanly, with one slip: a payphone sticker that duplicates its own text in a garbled way.

    Reported SupportedView cited source
  6. [6]

    In the same test, Images 2.5 added a lamppost with overlapping stapled flyers that Nano Banana skipped, but its own street-art tag reads like "STILLL HERE" with an extra L and the apostrophe in "KELLERMAN'S" on the ghost sign is missing or unreadable; Decrypt gave the category to Nano Banana 2.

    Reported SupportedView cited source
  7. [7]

    OpenAI added Sketch, which lets a user draw a rough layout in ChatGPT as a generation reference, plus prompt sharing, inline comments on specific image regions, and format templates for posters and merch.

    Reported SupportedView cited source
  8. [8]

    "The swing came down to a few checkable mistakes instead of very noticeable issues."

    Reported Supported Source: decrypt.co review summaryView cited source
  9. [9]

    In a comparison run in May, GPT Image 2 and Nano Banana 2 traded wins across eight categories; GPT Image 2 took more of them but suffered a distinctive oversharpening artifact whenever a prompt piled on too many constraints.

    Reported SupportedView cited source
  10. [10]

    The rerun used the same evaluator's eye, six categories carried over or adapted from earlier rounds, and the same prompts fed to both models.

    Reported SupportedView cited source
  11. [11]

    The model behind the original GPT Image 1 picked up a persistent warm, yellow color cast nicknamed the "piss filter", a tint OpenAI never fully explained and never fully fixed.

    Reported SupportedView cited source
  12. [12]

    Neither the yellow cast nor the oversharpening showed up in this round; every image generated with Images 2.5 held its color balance and detail at full complexity.

    Reported Supported Source: decrypt.coView cited source
  13. [13]

    In the spatial-awareness test, a five-plane aerial steampunk clock tower composition, ChatGPT Images 2.5 produced the more atmospheric image by a clear margin.

    Reported SupportedView cited source
  14. [14]

    On the API side, quality tiers now run from low up through a new high and max, above where Images 2.0 topped out.

    Reported SupportedView cited source
  15. [15]

    Decrypt's review does not state prices for GPT-Image-2.5 Flare, GPT-Image-2.5 Sunburst, or the API quality tiers.

    Derived Supported
  16. [16]

    OpenAI's share of scored categories fell from at least 62.5% in the eight-category May round to 50% in the six-category rerun.

    Derived Supported
  17. [17]

    Across six fresh test categories, Nano Banana 2 won three, with ChatGPT Images 2.5 taking the other ones.

    Reported Contested Source: decrypt.coView cited source

Sources

2 independent publishers whose own reporting we read for this story.

  1. cryptobriefing.com

    1 article · September 12, 2026

    OpenAI’s ChatGPT Images 2.5 outperforms Google’s Nano Banana 2 in head-to-head testing
  2. decrypt.co

    1 article · September 12, 2026

    ChatGPT Images 2.5 vs Nano Banana 2: Which One is Better?

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