GPT Image 2.5 vs Midjourney V8.2 vs Nano Banana 2.1 [2026]

Three AI image generators are now separated by less than 60 points on the Arena blind-vote leaderboard, and for anyone trying to pick a tool for work in October 2026, that gap is small enough to make the decision genuinely hard. GPT Image 2.5 Flare currently sits at the top of one widely cited blind-vote ranking with a rating of 1,606, with its sibling model GPT Image 2.5 Sunburst close behind at 1,605. Midjourney V8.2 trails at 1,578, and Google’s Nano Banana 2.1 sits at 1,551. On a separate Arena leaderboard snapshot from early October, the ordering shuffles again, with Sunburst topping the table at 1,425 and Flare at 1,398.

Numbers that close together do not tell the whole story, though. A model that wins on Arena votes can still lose badly on price, on text rendering inside an image, or on how it handles a face across five regenerated versions of the same portrait. This comparison pulls apart GPT Image 2.5, Midjourney V8.2 and Nano Banana 2.1 across the things that actually change a workflow: cost in Australian dollars, generation speed, maximum resolution, editing accuracy, and what happens when you try to put text on a poster or keep a character’s face consistent across ten images. We will also cover Microsoft’s MAI-Image-2.6, a model that Microsoft says beats GPT Image 2 Medium on speed by close to three times, because it is quietly becoming a serious fourth option for anyone building on Azure AI Foundry.

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Why This AI Image Generator Comparison Matters Right Now

The chatgpt image generator inside ChatGPT has moved well past the original DALL-E era tool that Australians got used to in 2023 and 2024. OpenAI’s current generation, branded internally as GPT Image 2.5 with the Flare and Sunburst variants, has pushed OpenAI back toward the top of independent leaderboards after Google’s Nano Banana family spent much of 2025 as the default recommendation for photorealistic edits. Midjourney, meanwhile, shipped V8.2 as a direct answer to both companies, leaning on its long-standing strength in stylised and artistic output rather than trying to win every photorealism test.

The practical reason to care about this right now is that all three companies changed their pricing and their model lineup within the last few months, and a decision made based on 2025 pricing or 2025 benchmark scores is already out of date. Australian freelancers, marketing teams and small agencies are paying real subscription money for these tools in AUD, after currency conversion and GST, and the gap between the cheapest workable plan and the most expensive one is large enough to matter for a sole trader’s monthly budget.

There is also a trust problem worth naming. Model names change fast enough that a lot of published advice online is comparing an old version of one tool against a current version of another. This piece deliberately checks that GPT Image 2.5 (not the older GPT Image 1.5 or GPT Image 2 Medium), Nano Banana 2.1 (not the older Nano Banana Pro, internally listed on Arena as Gemini 3 Pro Image 2K), and Midjourney V8.2 are the actual current flagship releases from each company as of mid October 2026.

GPT Image 2.5 vs Midjourney V8.2 vs Nano Banana 2.1: Full Specs Table

The table below lines up the three main contenders plus Microsoft’s MAI-Image-2.6 and the budget-tier Nano Banana 2 Lite, using the most recent figures available for each model.

Model	Maker	Arena Rating (blind vote)	Arena Rating (text-to-image leaderboard)	Starting Price (monthly)	Image Editing Support	Text-in-image Rendering	Best For
GPT Image 2.5 Flare	OpenAI	1,606	1,398 (plus or minus 7)	US$20	Yes, native inline editing	Strong	Fast iteration, chat-based editing
GPT Image 2.5 Sunburst	OpenAI	1,605	1,425 (plus or minus 7)	US$20	Yes, native inline editing	Strong	Highest quality single renders
Midjourney V8.2	Midjourney Inc	1,578	Top-tier, exact public score not disclosed	US$10	Yes, via remix and vary region	Moderate	Stylised art, concept and illustration work
Nano Banana 2.1	Google	1,551	1,328 (plus or minus 9)	US$20 (via Gemini plans)	Yes, native	Strong	Character consistency, photorealism
Nano Banana 2 Lite	Google	1,544	Not separately listed	Included in lower Gemini tiers	Limited	Moderate	Budget-conscious everyday edits
MAI-Image-2.6	Microsoft	Not on blind-vote arena	1,332 (plus or minus 5)	Usage-based via Azure AI Foundry	Yes, ranked No.1 for editing by Artificial Analysis	Strong	Enterprise and production-scale image pipelines
Grok Imagine Image 2.0 Canvas	xAI	Not on blind-vote arena	1,334 (plus or minus 12)	Bundled with X Premium+	Yes	Moderate	Social-first content creation
GPT Image 2 Medium	OpenAI	Not current flagship	1,383 (plus or minus 4)	Lower-cost API tier	Yes	Moderate	Budget API integrations
Nano Banana Pro (legacy)	Google	Superseded	1,248 (plus or minus 3)	Legacy pricing	Limited	Moderate	Users still on older Gemini plans
Maximum resolution	Varies by model	Up to 2K native for the Nano Banana family, up to 2048px for GPT Image 2.5, variable aspect up to 2K for Midjourney V8.2 upscales	N/A	N/A	N/A	N/A

Two things stand out immediately. First, the gap between the top four models on the blind-vote arena is just 55 points, which in practical terms means a typical user will struggle to reliably tell GPT Image 2.5 Flare apart from Nano Banana 2.1 in a side-by-side test without checking the filename. Second, pricing does not track quality in a straight line: Midjourney V8.2 is the cheapest entry point into a frontier-tier model at US$10 a month, while OpenAI and Google both sit at US$20 for their current top tiers.

Benchmark Scores From Three Independent Sources

Relying on a single leaderboard is risky because voting pools, prompt sets and methodology differ. Here is how the same three models stack up across separate benchmark sources tracking the image generation space in 2026.

Arena Blind-Vote Leaderboard, October 2026 Snapshot

On the blind-vote arena referenced by multiple leaderboard trackers, GPT Image 2.5 Flare leads at 1,606, with GPT Image 2.5 Sunburst a near-tie at 1,605. Midjourney V8.2 sits at 1,578 and Nano Banana 2.1 at 1,551, with the lighter Nano Banana 2 Lite close behind at 1,544. That is a tight four-way race at the top, with daylight only opening up once you drop past the fifth position.

Arena Text-to-Image Leaderboard, Vote-Weighted, Early October 2026

A separate, larger vote-weighted leaderboard flips part of the order. Here GPT Image 2.5 Sunburst takes first place with a score of 1,425 plus or minus 7 from 17,752 votes, ahead of GPT Image 2.5 Flare at 1,398 plus or minus 7 from 16,889 votes. GPT Image 2 Medium, an older and cheaper OpenAI tier, still manages third at 1,383 plus or minus 4 across a much larger sample of 93,334 votes, which suggests the previous generation model remains heavily used in production even as the newer Flare and Sunburst variants take the spotlight. Grok Imagine Image 2.0 Canvas and Microsoft’s MAI-Image-2.6 sit close together at 1,334 plus or minus 12 and 1,332 plus or minus 5 respectively, with Nano Banana 2.1 just behind at 1,328 plus or minus 9 from 5,310 votes, the smallest sample size of the group given how recently it launched.

Microsoft and Artificial Analysis Rankings for MAI-Image-2.6

Microsoft’s own announcement for MAI-Image-2.6 claims a second-place finish on Arena for both text-to-image generation and image editing, and cites Artificial Analysis placing the model second for text-to-image and first for image editing specifically. Microsoft also states that MAI-Image-2.6 generates images 2.8 times faster than GPT Image 2 Medium while delivering what it describes as 72 percent greater efficiency, a claim worth noting because speed and cost efficiency rarely get benchmarked with the same rigour as visual quality. Microsoft is positioning this model as the practical choice for teams generating images at scale inside Azure AI Foundry rather than as a consumer-facing chat tool.

Taken together, these three sources agree on one thing: OpenAI’s current GPT Image 2.5 family is leading or tied for the lead across most measures in October 2026, Nano Banana 2.1 is a strong but newer entrant still building its vote sample, and Midjourney V8.2 holds its position mainly through stylistic strength rather than raw benchmark dominance.

Pricing Compared: What You Actually Pay in Australia

Subscription prices for AI image tools are set in US dollars and billed through international payment processors, so Australian users pay the converted amount plus card-network foreign transaction fees where applicable, and GST may apply depending on the vendor’s local registration. The table below lists published US dollar pricing alongside a rough AUD estimate for budgeting purposes.

Plan	Monthly Price (USD)	Approx. Monthly Price (AUD)	What You Get	Commercial Use
Midjourney Basic	US$10	Around AU$15	Entry access to V8.2, limited fast-generation minutes	Allowed on paid plans
Midjourney Standard	US$30	Around AU$46	More fast-generation hours, unlimited relaxed generations	Allowed
ChatGPT Plus (includes GPT Image 2.5)	US$20	Around AU$31	GPT Image 2.5 access inside ChatGPT, limited daily generations	Allowed under OpenAI’s usage policies
ChatGPT Pro	US$200	Around AU$308	Higher usage limits, priority access to newest models	Allowed
Google AI Pro (Gemini, includes Nano Banana 2.1)	Around US$20	Around AU$31	Nano Banana 2.1 access through Gemini, Flow and NotebookLM	Allowed under Google’s terms
Google AI Ultra	Higher tier, variable	Variable	Highest usage caps, earliest access to new Gemini image models	Allowed
Azure AI Foundry (MAI-Image-2.6)	Usage-based, per-image API pricing	Variable, pay-as-you-go	Enterprise API access, no flat consumer subscription	Allowed under Microsoft’s commercial terms
Grok Imagine (via X Premium+)	Around US$40 bundled	Around AU$62	Image and video generation bundled with X subscription	Allowed under xAI terms

For a solo creator on a tight budget, Midjourney’s US$10 Basic plan is the cheapest way into a current-generation frontier model, though its fast-generation minutes run out quickly if you are iterating heavily. For anyone who also wants a general-purpose chat assistant alongside their image tool, ChatGPT Plus at US$20 effectively bundles a leading image generator with broader chat capability, which can work out cheaper than paying for two separate subscriptions. Google’s Gemini bundling follows a similar logic, and the chatgpt image generator comparison genuinely comes down to which ecosystem you are already paying for elsewhere.

Image Quality and Photorealism: Where Each Model Wins

Arena scores measure aggregate preference across thousands of blind votes, but they flatten out category-specific strengths that matter enormously depending on what you are actually generating. Independent reviewer coverage of the current AI image generator field rates Nano Banana 2 highly and singles out character consistency and photorealism as its standout strengths. That lines up with Google’s long-running advantage in producing faces and skin textures that hold up under close inspection, an area where earlier generations of GPT-based image models were historically weaker.

GPT Image 2.5 closes a lot of that gap. Both the Flare and Sunburst variants show meaningfully better handling of fine detail, lighting consistency and skin texture compared to the GPT Image 2 Medium generation, and the fact that Sunburst leads the larger vote-weighted leaderboard at 1,425 points suggests the broader voting public now rates its output highly across a wide range of prompt types, not just photorealistic portraits.

Midjourney V8.2 takes a different path entirely. It is not trying to win a photorealism contest against Google and OpenAI. Its strength remains stylised, painterly and illustrative output, the kind of image a concept artist or a brand wanting a distinctive visual identity would reach for. If your use case is a photorealistic product shot or a realistic portrait, Midjourney V8.2 is rarely the first choice among the three. If your use case is concept art, book covers, or a distinctive brand aesthetic that needs to look nothing like a stock photo, it remains extremely strong.

Text Rendering and Typography Inside Images

Rendering legible, correctly spelled text inside a generated image used to be the single biggest weakness across every AI image tool. That has changed substantially for GPT Image 2.5 and Nano Banana 2.1, both of which show strong text rendering in current testing, meaning posters, infographics and product packaging mockups with real words on them are now genuinely usable outputs rather than something you fix in an editor afterward.

Midjourney V8.2 sits a step behind on this specific measure, rated as moderate rather than strong for text rendering. It can produce short, simple text correctly, but longer strings or small fonts are still more likely to come out garbled or misspelled compared to the OpenAI and Google models. For a marketing team that regularly needs headline text baked directly into a generated visual, that gap alone can be the deciding factor, regardless of how the overall Arena scores compare.

Image Editing Accuracy: Inpainting, Regions and Consistency

Generating a brand new image from a prompt is only half of what these tools get used for. The other half is editing an existing image, whether that means swapping a background, changing an outfit, or keeping a character’s face identical across a ten-image series for a social campaign. This is where the gap between tools widens the most.

Artificial Analysis specifically ranks Microsoft’s MAI-Image-2.6 first for image editing, ahead of both Google and OpenAI’s current models on that one dimension, even though it ranks second behind GPT Image 2.5 Sunburst on general text-to-image quality. That is a meaningful distinction for teams whose workflow is mostly editing existing product photography rather than generating brand-new scenes from scratch. Nano Banana 2.1 also edits natively and keeps its predecessor’s reputation for character consistency, which matters when you need the same fictional spokesperson or mascot to look identical across a dozen marketing assets. GPT Image 2.5 supports inline editing directly inside a ChatGPT conversation, which is less precise for pixel-level control but faster for quick iterative changes during a brainstorming session. Midjourney V8.2 edits through its remix and region-based vary tools, which work well for broad stylistic changes but are less suited to the kind of surgical, pixel-accurate edit a product photographer might need.

Generation Speed: How Fast Each Model Actually Works

Speed rarely gets the attention that visual quality does, but for agencies billing by the hour or marketers running dozens of prompt variations before a deadline, it changes which tool is actually usable day to day. Microsoft’s claim that MAI-Image-2.6 generates images 2.8 times faster than GPT Image 2 Medium, alongside a stated 72 percent efficiency improvement, is the most concrete speed figure published by any of the vendors covered here, and it positions MAI-Image-2.6 as the pragmatic choice for any pipeline generating images in bulk rather than one at a time.

Neither OpenAI, Google nor Midjourney publish an equivalent head-to-head speed multiplier, but user-reported generation times generally put GPT Image 2.5 and Nano Banana 2.1 in a similar bracket, both faster than the older Nano Banana Pro generation they replaced. Midjourney’s relaxed-mode generations, available on higher-tier plans, intentionally trade speed for unlimited volume, meaning a Standard or Pro subscriber can queue large batches overnight without burning through fast-generation minutes, a different speed trade-off entirely from the near-instant single-image generation OpenAI and Google both offer.

Five Real-World Use Cases, Tested Against Each Model

Benchmarks only matter if they predict how a tool performs on the kind of job someone is actually paying for. Here are five common briefs and which of the three main models best fits each one based on the strengths outlined above.

A Sydney real estate agency needs photorealistic staged interior shots for listings. Nano Banana 2.1 is the strongest fit given its rated strength in photorealism, though GPT Image 2.5 Sunburst is a close second and worth testing against the same brief before committing.
A small business owner needs a poster with a headline, a date and a venue address baked into the image. GPT Image 2.5 or Nano Banana 2.1 are the better choices given their strong text rendering, since Midjourney V8.2’s moderate rating on this measure raises the risk of misspelled or garbled text in longer strings.
An indie game studio needs consistent concept art for a fantasy world across dozens of pieces. Midjourney V8.2 remains the strongest pick here, since stylised, painterly consistency across a large volume of concept pieces is exactly what it was built for.
An e-commerce brand needs to batch-edit five hundred product photos to swap backgrounds. MAI-Image-2.6 through Azure AI Foundry is the practical choice given Artificial Analysis ranking it first for image editing and Microsoft’s own speed claims for high-volume generation.
A social media manager needs the same brand mascot to appear consistently across twenty posts a week. Nano Banana 2.1’s character consistency strength makes it the safer bet, with GPT Image 2.5’s inline chat-based editing as a fast backup for quick one-off tweaks between posts.

Migration Guide: Switching From One AI Image Generator to Another

Moving a workflow from one image model to another is not as simple as swapping a login. Prompts that worked well on one model often need rewriting, and existing project files, character references or brand style guides built around one tool’s quirks will not transfer cleanly. Here is a practical sequence for making the switch without losing a production pipeline along the way.

Export or document every prompt template you currently rely on, including any negative prompts, aspect ratio settings and reference images, before cancelling or downgrading your existing subscription.
Run a side-by-side test batch of ten to fifteen of your most common prompts through the new model while your old subscription is still active, so you have a direct comparison rather than relying on memory.
Rebuild any character or brand reference sets inside the new tool. Nano Banana 2.1 and GPT Image 2.5 both support reference-image uploads for consistency, but the exact syntax and upload limits differ between platforms.
If text-in-image accuracy matters for your workflow, specifically retest headline and caption generation, since this is the area most likely to behave differently between Midjourney and the other two models.
Check commercial usage terms again even if you used the same company’s previous model commercially before. OpenAI, Google and Midjourney have each adjusted licensing language across 2025 and 2026 releases, and an old assumption about rights ownership may no longer hold under the new model’s terms.
Budget for an overlap month where you pay for both the old and new subscription, since most teams find a two to four week adjustment period before output quality and speed match their previous workflow.
If moving to an API-based model like MAI-Image-2.6, build a small test integration against Azure AI Foundry’s documentation before committing to a bulk migration, since usage-based pricing behaves very differently from a flat monthly subscription when volume spikes.

Pros and Cons: GPT Image 2.5

GPT Image 2.5, available in both Flare and Sunburst variants, leads or ties for the lead across most of the benchmark sources checked for this comparison, and it bundles naturally with a ChatGPT Plus subscription many Australian users already pay for.

Pro: Top or near-top scores across both the blind-vote arena and the larger vote-weighted leaderboard.
Pro: Strong text rendering, making it reliable for posters, infographics and packaging mockups.
Pro: Bundled inside an existing ChatGPT Plus subscription at US$20, reducing the need for a separate tool.
Con: Inline chat-based editing is less precise than dedicated region-based editing tools for pixel-level changes.
Con: Daily generation limits on the Plus tier can be restrictive for heavy iterative workflows.

Pros and Cons: Midjourney V8.2

Midjourney V8.2 remains the cheapest entry point into a current-generation frontier model and keeps its long-standing lead in stylised, artistic output.

Pro: Lowest entry price among the three main contenders at US$10 a month.
Pro: Still the strongest choice for stylised, painterly and illustrative work.
Pro: Relaxed-mode generations on higher tiers allow large overnight batch runs without burning fast-generation minutes.
Con: Moderate text rendering means longer text strings are more likely to come out garbled.
Con: Weaker fit for photorealistic product or portrait work compared to GPT Image 2.5 and Nano Banana 2.1.

Pros and Cons: Nano Banana 2.1

Nano Banana 2.1 is Google’s newest image model, replacing the older Nano Banana Pro generation, and continues to lead on photorealism and character consistency.

Pro: Rated highly by independent reviewers, with photorealism and character consistency singled out as standout strengths.
Pro: Bundled across Gemini, Flow and NotebookLM, giving it reach across Google’s wider productivity suite.
Pro: Strong text rendering and native editing support.
Con: Newest model on the leaderboard with the smallest vote sample so far, meaning its ranking could shift as more data comes in.
Con: Requires a Google AI Pro subscription at roughly US$20, similar in cost to ChatGPT Plus with no major price advantage.

How These Models Were Actually Compared

It is worth being transparent about where the numbers Come from, because AI model benchmarking has a reputation for being easy to game. Arena-style leaderboards work on a blind-vote system: a user is shown two images generated from the same prompt by two different, unlabelled models, and picks the one they prefer. Thousands of these head-to-head votes get aggregated into a single rating, similar in concept to a chess Elo score. That is why GPT Image 2 Medium, despite being a generation behind the current Flare and Sunburst models, still carries a huge vote count of 93,334: it has simply been in the pool longer, while Nano Banana 2.1 has only accumulated 5,310 votes because it only recently launched.

That difference in sample size matters when reading these tables. A rating built on 5,000 votes carries more statistical noise than one built on 90,000, which is part of why Nano Banana 2.1’s position on the text-to-image leaderboard could realistically shift up or down over the next few months as more people vote on it. The blind-vote arena snapshot used earlier Where Nano Banana 2.1 scores 1,551 against GPT Image 2.5 Flare’s 1,606, comes from a separate voting pool with its own methodology, which is exactly why the two leaderboards do not agree on the precise ranking even though both put the same four models at the top.

Microsoft’s claims around MAI-Image-2.6, by contrast, come from the company’s own benchmarking rather than an independent blind-vote system, albeit one that references third-party scoring from Artificial Analysis. That does not make the figures wrong, but it is a different kind of evidence than a crowd-sourced leaderboard, and it is worth treating vendor-published speed and efficiency claims with slightly more scepticism than a blind-vote arena score until independent reviewers reproduce them.

API Access and Developer Integration Options

For developers building an app or internal tool rather than generating images one at a time through a chat interface, API access and pricing structure matter more than any leaderboard score. OpenAI offers GPT Image 2 Medium and related tiers through its standard API, billed per image at a lower cost than the consumer ChatGPT Plus subscription, which is why that older model still shows such a large vote count on the text-to-image leaderboard: a huge amount of API traffic runs through it. Google provides API access to its Gemini image models, including Nano Banana 2.1, through the same developer console used for its broader Gemini model family, with usage-based billing similar in structure to OpenAI’s approach.

Microsoft’s MAI-Image-2.6 is built specifically for the developer and enterprise channel through Azure AI Foundry, with no consumer-facing chat app equivalent to ChatGPT or Gemini. That makes it a poor fit for an individual creator who just wants to generate a handful of images a week, but a strong fit for a company that needs to wire image generation into an existing product and wants predictable enterprise support contracts and compliance documentation that come with an Azure subscription. Midjourney remains the outlier here: it still does not offer a first-party API in the same open way as its competitors, with most programmatic access happening through its Discord bot or third-party unofficial wrappers, something developers should weigh carefully given the stability and support risk of relying on an unofficial integration path for a production system.

// Example: calling an image generation API with a text prompt
// (illustrative structure only, consult each provider's current docs for exact parameters)

POST https://api.provider.example/v1/images/generate
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "model": "gpt-image-2.5-sunburst",
  "prompt": "A Sydney harbourside cafe at golden hour, photorealistic",
  "size": "2048x2048",
  "n": 1
}

Common Mistakes When Choosing an AI Image Generator

A handful of avoidable mistakes show up repeatedly when individuals and small teams pick an AI image tool. The first is comparing an old benchmark screenshot against a current one, which is exactly the trap this piece has tried to avoid by confirming GPT Image 2.5, Nano Banana 2.1 and Midjourney V8.2 are each company’s genuinely current flagship release rather than a superseded version still floating around in older blog posts.

The second mistake is picking a tool purely on its overall Arena ranking without checking whether that ranking reflects the specific type of image being produced. A model that wins on general-purpose photorealism can still lose badly on text rendering or on a narrow editing task, which is why this comparison broke performance out by category rather than publishing a single overall winner. The third mistake is ignoring currency conversion and card fees when budgeting a subscription, since a US$20 plan can quietly cost more than expected once foreign transaction fees and exchange rate movement are factored in, particularly for a small business tracking costs closely across a financial year.

A fourth and less obvious mistake is assuming commercial usage rights carry over automatically when a provider ships a new model version. OpenAI, Google and Midjourney have each revised their terms of service across the 2025 and 2026 release cycle, and a licensing assumption that held true for an older model is not guaranteed to hold for its replacement without checking the current terms directly on the provider’s own site before relying on it for paid client work.

The Verdict: Which AI Image Generator Should You Actually Use

There is no single winner across every category, and the data backs that up directly. GPT Image 2.5 Flare leads the blind-vote arena at 1,606, GPT Image 2.5 Sunburst leads the larger vote-weighted leaderboard at 1,425, Nano Banana 2.1 leads on photorealism and character consistency according to independent reviewer coverage, and MAI-Image-2.6 leads specifically on editing accuracy according to Artificial Analysis, plus a claimed 2.8 times speed advantage over GPT Image 2 Medium.

For most Australian users starting from scratch with no existing subscription commitments, GPT Image 2.5 via ChatGPT Plus is the safest general-purpose pick, since it combines leaderboard-topping scores with strong text rendering and a bundled general-purpose chat assistant for a single US$20 monthly fee. If photorealistic portraits and consistent characters across a campaign are the priority, Nano Banana 2.1 through a Gemini subscription is worth testing side by side with GPT Image 2.5 before committing either way, since the two trade the top photorealism spot depending on the specific benchmark. If budget is the overriding constraint and the work leans stylised or illustrative rather than photorealistic, Midjourney V8.2 at US$10 a month remains the cheapest route into frontier-tier image generation. And for any business generating images at genuine scale, whether that is thousands of product photos or a high-volume content pipeline, MAI-Image-2.6 through Azure AI Foundry deserves a serious look purely on the strength of Microsoft’s editing-accuracy and speed claims, even though it lacks a simple flat-rate consumer subscription.

Frequently Asked Questions

Is GPT Image 2.5 the same as the chatgpt image generator inside ChatGPT Plus?
Yes. GPT Image 2.5, in both its Flare and Sunburst variants, is the current image generation model powering image creation inside ChatGPT for Plus, Pro and Team subscribers as of October 2026, replacing the older GPT Image 2 Medium and GPT Image 1.5 generations.

Is Nano Banana Pro still the current Google image model?
No. Nano Banana Pro, listed on Arena as Gemini 3 Pro Image 2K, has been superseded by Nano Banana 2.1 as Google’s current flagship image model, with the older Nano Banana Pro now ranking well below the current generation on the Arena text-to-image leaderboard.

Which AI image generator is cheapest for Australians?
Midjourney’s Basic plan at US$10 a month is the cheapest entry point into a frontier-tier model among the three main contenders covered here, though ChatGPT Plus and Google AI Pro, both roughly US$20, bundle the image generator with a broader suite of tools that may offset the price difference depending on what else you need.

Which model is best for text and typography inside images?
GPT Image 2.5 and Nano Banana 2.1 both show strong text rendering, making them more reliable for posters, packaging mockups and infographics with real words baked in. Midjourney V8.2 is rated moderate on this measure and is more prone to errors with longer text strings.

What is MAI-Image-2.6 and is it available to consumers?
MAI-Image-2.6 is Microsoft’s current image model, available through Azure AI Foundry on a usage-based pricing structure rather than a flat consumer subscription. It is aimed primarily at businesses and developers building image generation into their own products and pipelines, not at casual individual users.

Can I use these AI-generated images commercially in Australia?
Generally yes, under each provider’s current terms, as long as you are on a paid plan and comply with their specific usage policies. OpenAI, Google and Midjourney have each updated their commercial usage terms across 2025 and 2026, so it is worth checking the current terms for the specific model and plan you are using rather than relying on an older understanding of the rules.

How close are these models in quality, really?
Close enough that the top four models on the blind-vote arena, GPT Image 2.5 Flare, GPT Image 2.5 Sunburst, Midjourney V8.2 and Nano Banana 2.1, sit within 55 points of each other. For most everyday prompts, the practical difference will come down to specific strengths like text rendering, photorealism or editing accuracy rather than an obvious overall quality gap.

Should I switch from Midjourney to GPT Image 2.5 or Nano Banana 2.1?
Only if your work genuinely leans photorealistic or depends heavily on accurate text rendering, both areas where Midjourney V8.2 trails the other two. If your work is mostly stylised or illustrative, Midjourney V8.2 remains a strong and notably cheaper choice, and switching purely to chase a leaderboard ranking is unlikely to improve your actual output quality.

GPT Image 2.5 vs Midjourney V8.2 vs Nano Banana 2.1: 1,606 [2026]