Verdict: GPT Image 2 is the best quality choice for text-heavy graphics, packaging, references and visual-world consistency. Nano Banana 2 is the best speed-first choice and the better value for frequent drafts. Grok Imagine Image 2.0 has the most intriguing editing feature list and ranks second on both live Arena boards—but we will not call it a hands-on winner because its Quality mode triggered an upgrade gate on the supplied signed-in access. An unscored Speed check was gated too.
That access failure matters. We attempted 15 real-world workflows on August 8, 2026, saved the first output, repeated six critical tests, and had three independent graders score randomized GPT and Nano results before model names were revealed. GPT Image 2 finished at 88.0/100 versus 83.9/100 for Nano Banana 2, with price excluded. Grok received no Kingy quality score, not a zero.
If you need one recommendation: choose GPT Image 2 for finished creative, Nano Banana 2 for fast iteration, and wait for verified access or API availability before choosing Grok Image 2.0 for production.
Testing disclosure: We used signed-in ChatGPT Pro, Gemini Free and Grok Free consumer web access on macOS/Chrome. No plan was upgraded, no credits were bought and no trial was started. ChatGPT and Gemini completed the common tests. Grok’s Quality submission opened an upgrade dialog before producing an image. A later, explicitly unscored Speed check reached the same gate and produced no output.
Winners by workflow
| Workflow | Best choice | Why |
|---|---|---|
| Dense infographics | GPT Image 2 | Cleaner hierarchy and more faithful microcopy |
| Small-text advertising | Tie | Both produced credible posters; each missed some tiny details |
| Multilingual typography | GPT Image 2, narrowly | Slightly stronger overall compliance; both were impressive |
| Counting and spatial logic | GPT Image 2 | Better object count and placement fidelity |
| Portraits and anatomy | GPT Image 2 | More natural hands, face and material detail |
| Reflections and physical logic | GPT Image 2 | More coherent condensation, glass and mirrored objects |
| Packaging and labels | GPT Image 2 | Stronger brand block, text hierarchy and shelf-ready finish |
| Precise local edits | GPT Image 2, with caveats | Better target change, but neither preserved the source pixel-for-pixel |
| Preservation outside edits | GPT Image 2, with caveats | Lower collateral change; still a regeneration, not a surgical edit |
| Character consistency | GPT Image 2 | More stable costume, face and narrative continuity |
| Visual-world consistency | GPT Image 2 | Stronger reuse of the supplied palette and graphic grammar |
| Smart resize/outpainting | Nano Banana 2, narrowly | Preserved more source content, though it introduced duplication |
| Fast iterative drafting | Nano Banana 2 | Approx. 14.5s median vs 34.6s for GPT in recorded common/repeat runs |
| True transparent PNG in our consumer test | GPT Image 2 | Alpha channel measured 0–254; Nano baked in a checkerboard |
| Grok-only compositing/local tools | Unverified by Kingy | xAI advertises up to five inputs and Magic Wand; access gate blocked our run |
Three evidence layers—and why they do not say the same thing
This comparison keeps three kinds of evidence separate.
Vendor claims: xAI says Imagine Image 2.0 improves instruction following, typography, small text, editing preservation and feature breadth. Its official launch post describes Magic Wand localized edits, segmentation, transparent background removal, up to five reference inputs and Smart Resize across nine aspect ratios. OpenAI and Google make their own capability claims in their model documentation. These are useful specifications, not Kingy findings.
Arena evidence: live anonymous preference voting currently places GPT first and Grok second. It measures broad human preference under Arena’s conditions; it is not our workflow rubric and it does not prove a specific consumer plan will expose a model.
Kingy test results: our controlled consumer-web comparison covers only outputs we actually generated and preserved. It measures first-output utility on 12 shared workflows, plus three ceiling tests. This layer can support a GPT-versus-Nano score. It cannot support a hands-on Grok score.
That distinction also prevents a naming error. The new grok-imagine-image-2.0 is not the older grok-imagine-image-quality API model. xAI says API access for 2.0 is coming soon, and no 2.0 API price was published at our cutoff. We therefore do not substitute the older model’s API price.
Live Arena standings
The text-to-image leaderboard and image-edit leaderboard were dated August 7, 2026 and checked August 8 at 18:55 PDT. Variant names matter: GPT appears as medium, Grok as low, and Nano Banana 2 as the web-search variant.
| Board | Model variant | Rank | Score and interval | Votes | Rank spread |
|---|---|---|---|---|---|
| Text-to-image | gpt-image-2 (medium) |
1 | 1380 ± 5 | 69,194 | 1–1 |
| Text-to-image | grok-imagine-image-2.0 (low) |
2 | 1320 ± 12 | 2,722 | 2–3, preliminary |
| Text-to-image | gemini-3.1-flash-image (nano-banana-2) [web-search] |
6 | 1263 ± 5 | 27,910 | 5–9 |
| Single Image Edit | gpt-image-2 (medium) |
1 | 1463 ± 4 | 184,189 | 1–1 |
| Single Image Edit | grok-imagine-image-2.0 (low) |
2 | 1439 ± 8 | 5,931 | 2–2, preliminary |
| Single Image Edit | Nano Banana 2 [web-search] |
10 | 1385 ± 4 | 102,657 | 5–10 |
The boards displayed 5,895,429 text-to-image votes across 76 models and 28,831,297 image-edit votes across 53 models. Grok’s intervals are wider because its new variant has far fewer votes. Treat second place as strong early evidence, not a settled long-run rank.
If you saw our original GPT Image 2 benchmark coverage, use the table here for the current snapshot. Arena moves; old scores should not be presented as live.
How we tested
We froze the protocol before generation. Twelve common tests used the same prompt, input, aspect ratio and closest available consumer setting. Tests covered dense English infographics, small advertising text, multilingual typography, counting and spatial relationships, portrait anatomy, physical logic, package labels, local edits, preservation, reference consistency, style consistency, and outpainting.
Three feature-ceiling tests then examined Grok five-reference compositing, transparent-background removal, and each rival’s strongest practical workflow. Six critical prompts—tests 1, 2, 4, 7, 8 and 10—were repeated exactly once to check consistency.
We saved the first output from every completed run. There was no aesthetic rerolling. The record includes timestamp, platform, settings, elapsed time, retries, errors, dimensions and decoded alpha. One ChatGPT upload-control retry occurred before generation; it is logged. All 18 common and repeat generation jobs completed on both ChatGPT and Gemini.
The blind packets randomized GPT and Nano into A/B positions with a fixed seed. Three grading subagents scored them independently before we revealed the mapping. The pre-registered weights were:
- 25% prompt compliance
- 15% text and layout accuracy
- 15% edit locality and preservation
- 15% reference consistency
- 10% realism and physical coherence
- 10% composition
- 5% resize/alpha correctness
- 5% reliability and latency
Price was kept out of quality. The entire protocol, raw grader files, label reveal, run log and original files are included in the evidence pack.
Results from all 12 common tests
| # | Test | GPT | Nano | Winner | What decided it |
|---|---|---|---|---|---|
| 1 | Dense English infographic | 9.76 | 8.61 | GPT | Denser copy and cleaner hierarchy |
| 2 | Small-text advertising poster | 9.68 | 9.64 | Tie | 0.05-point difference |
| 3 | Multilingual typography | 9.81 | 9.64 | GPT, narrow | 0.17-point difference |
| 4 | Counting/spatial relationships | 9.30 | 8.79 | GPT | More exact object structure |
| 5 | Portrait/anatomy | 9.01 | 8.49 | GPT | More coherent portrait detail |
| 6 | Materials/reflections | 9.21 | 9.00 | GPT | Better physical cues |
| 7 | Packaging/label fidelity | 9.78 | 9.35 | GPT | More finished, faithful label system |
| 8 | Precise local editing | 8.74 | 7.86 | GPT | Better edit target; both changed outside region |
| 9 | Outside-region preservation | 8.90 | 8.14 | GPT | Less collateral drift; neither was pixel-locked |
| 10 | Character/reference consistency | 9.47 | 8.74 | GPT | Better identity and costume continuity |
| 11 | Visual-world style consistency | 9.72 | 8.53 | GPT | Stronger shared visual grammar |
| 12 | Smart resize/outpainting | 7.21 | 7.48 | Nano, narrow | More source preservation; both had defects |
The row scores are workflow-specific grader aggregates on a 0–10 scale. The overall 88.0 and 83.9 scores additionally include the pre-registered reliability/latency dimension.
Tests 1–4: text, language and counting
GPT’s dense infographic was the clearest separation: stronger hierarchy, more of the requested microcopy and a convincing information-design rhythm. Nano’s poster was attractive but simplified. The small-text ad was effectively a tie. Both models correctly handled a surprising amount of Spanish, Japanese and Arabic display text, although neither should replace human proofreading.
The counting scene exposed why “looks right” is not enough. Both produced polished tabletop photography, but GPT adhered more closely to the specified object inventory and relationships. For ecommerce diagrams, classroom materials or safety instructions, count every object before publishing.
Tests 5–8: realism, packaging and local edits
GPT held a modest but consistent lead in the portrait and materials tests. Its potter portrait looked less staged, while glass, condensation, tea and reflections formed a more coherent physical scene. Nano remained strong enough for concept work and social content.
Packaging was more decisive. GPT built a more integrated Northline Alpine Oat Bar identity and retained more requested label structure. That does not make either output legally production-ready: ingredients, weights, allergens and claims still require exact source artwork and human review.
Local editing was the uncomfortable result. Both systems performed the requested mug change, yet both regenerated surrounding pixels. GPT changed less and scored higher, but neither behaved like a deterministic layer editor. If unchanged regions must remain for compliance, product approval or version control, use a mask-based graphics tool and compare pixels—not just appearance.
Tests 9–12: preservation, consistency and outpainting
GPT’s strongest practical advantage was consistency. Across a four-panel character story and a multi-panel visual world, it better preserved costume, face, palette, shapes and layout logic. Nano remained usable, but drifted more.
Outpainting reversed the result by 0.27 points. Nano preserved more of the original scene, while GPT removed a source header. Nano also duplicated a header and added an unrequested sparkle. The honest winner is “Nano, narrowly—and still inspect every seam.”
Six repeats: consistency without cherry-picking
Neither model is deterministic. The repeat sheet shows substantial changes in composition, product angle, fine print and character panels. GPT more often preserved the requested information structure across runs; Nano more often changed the visual interpretation. Teams should budget for review even when a first run succeeds.
Reliability was excellent for both: 18/18 common and repeat jobs completed. Nano’s recorded median was approximately 14.5 seconds, compared with 34.6 seconds for GPT. One Nano preservation edit took 48.2 seconds, but its typical interaction still felt much faster.
Feature-ceiling tests
13. Grok five-reference compositing: blocked before output
xAI says Imagine Image 2.0 can combine up to five inputs. We prepared five controlled references and submitted the task in Quality mode. The signed-in consumer account opened a paid upgrade dialog before generation. Per the test rules, we did not upgrade and did not substitute another service.
So the result is unavailable, not “failed,” and certainly not a quality score. xAI’s official examples below show vendor-provided creative range, not our compositing result.
14. Transparent-background removal: GPT produced alpha; Nano did not
This finding needs a product/API distinction. OpenAI’s GPT Image 2 API guide says transparent backgrounds are not supported for GPT Image 2. Yet our ChatGPT consumer product download contained real transparent pixels. That is an observed product behavior, not proof that the API supports alpha. GPT also redrew the supplied camera and added edge effects, so “transparent” did not mean “unchanged cutout.”
Nano’s output looked transparent at a glance, but the checkerboard was baked into opaque pixels. Visual inspection alone would have produced the wrong conclusion.
15. Each rival’s strongest exclusive workflow
For GPT, we tested a multi-turn refinement ending with a 4K request. The conversation preserved the concept, but the downloaded file was 1536×1024—not 4K. For Nano, we used its Google Search-grounded image workflow. It returned a polished 1024-pixel infographic quickly, but the consumer UI surfaced no citations in the image response. Both workflows were useful; neither fully met the ceiling claim under our exact test.
Exploratory appendix: Grok Free/default Speed mode (unscored)
This appendix is not part of the scored comparison. After the protocol, we checked whether the supplied Grok Free account had an alternative to the Quality gate. At August 8, 2026, 20:03 PDT, Grok showed Image mode, Speed selected and 1:1. No model ID was disclosed, so we do not label this run Image 2.0.
We submitted the exact pre-registered Test 1 prompt once, with no input and no reroll. Grok navigated to #subscribe and opened “Upgrade to SuperGrok” before an image appeared. The gate was captured 16.2 seconds after submission—time to confirmed blocking, not generation latency. No output or dimensions exist.
The five-reference upload could not be completed through the browser’s file-permission layer—an automation limitation, not a Grok finding—so we used the no-input common prompt. The conclusion is narrow: on this account at this timestamp, Speed was not a free route around Quality’s gate. It says nothing about output quality, universal availability or the model that would have served the request.
Specs, access and pricing
All prices and access claims below were checked August 8, 2026, 18:07–18:46 PDT. Consumer subscriptions and API usage are different products.
| Model | Tested access | Consumer access | API status and current price | Practical note |
|---|---|---|---|---|
| Grok Imagine Image 2.0 | Grok Free; Quality gated; later Speed check also gated and model ID undisclosed | Free $0; SuperGrok $30/month on xAI pricing page | API “coming soon”; no 2.0 API price published | Do not use older grok-imagine-image-quality price as a proxy |
| GPT Image 2 | ChatGPT Pro web | Tested Pro: $200/month, subject to guardrails | gpt-image-2; $8/M image-input tokens, $30/M image-output tokens; output examples $0.006 low, $0.053 medium, $0.211 high at 1024² |
Flexible sizes; official API docs say no transparent background |
| Nano Banana 2 | Gemini Free web | Free $0; Google AI Pro $19.99/month | gemini-3.1-flash-image; $0.50/M input, $60/M image output; $0.067 at 1K, $0.101 at 2K, $0.151 at 4K |
Supports image grounding and extreme ratios in official docs |
OpenAI identifies the current snapshot as gpt-image-2-2026-04-21. Google identifies Nano Banana 2 as gemini-3.1-flash-image, updated July 21, 2026. For more background, see our GPT Image 2 release analysis and Kingy’s Nano Banana 2 launch coverage.
Which model should you use?
| If your priority is… | Use | Why |
|---|---|---|
| Final text-heavy marketing creative | GPT Image 2 | Best blind score and strongest typography/packaging result |
| Rapid ideation at high volume | Nano Banana 2 | More than twice as fast in our recorded median |
| Character sheets or branded visual worlds | GPT Image 2 | Better reference and style continuity |
| Cheap API-first iteration | Nano Banana 2 | Lower listed 1K image price than GPT medium 1024² |
| A true alpha PNG from the tested consumer surfaces | GPT Image 2 | Only tested download contained genuine transparency |
| Search-informed visual drafting | Nano Banana 2 | Native grounding workflow, but verify facts and citations separately |
| Five-reference compositing or Magic Wand editing | Grok, only after access verification | Compelling official feature set; not validated in our supplied account |
| Compliance-critical local editing | Neither alone | Both regenerated outside the target region |
| Broad market shopping | See Kingy’s top-five image generator guide | This article intentionally covers only three models |
Limitations
This is a reproducible editorial test, not a laboratory claim of universal superiority. Consumer surfaces can route models, change defaults or impose plan limits without exposing every parameter. ChatGPT did not display a raw model ID in the conversation UI; Gemini explicitly labeled the tool Nano Banana 2; Grok explicitly showed Quality mode but gated submission. Its later Speed-mode appendix also exposed no model ID and is an access check only.
Three graders reduce individual taste, but the sample remains 12 shared workflows and one first output per run. Arena has far more votes but a different task and population. Grok’s new listing is preliminary and has fewer votes. Prices, plans and ranks can change after the timestamp.
Most importantly, we did not score a model we could not run. That makes this a complete account of the attempted comparison, not a fabricated three-way shootout.
FAQ
Is Grok Image 2 better than GPT Image 2?
Not on the available evidence. GPT ranks first and Grok second on both live Arena boards checked August 8, 2026. Kingy could not perform a hands-on Grok comparison because Quality mode triggered an upgrade gate. The later Speed-mode check was also gated and unscored, so we cannot make a direct Kingy quality claim.
Is there a free alternative to Grok Quality mode?
Not on the supplied Grok Free account at our August 8, 2026, 20:03 PDT check. The visible Speed mode accepted the prompt but opened the SuperGrok upgrade dialog before generating. Availability can vary by account, region and time, so verify your own access before planning a workflow.
Is GPT Image 2 better than Nano Banana 2 for editing?
Usually in our tests, but not universally. GPT won local editing and preservation, though both regenerated outside the target region. Nano narrowly won outpainting. For pixel-critical edits, neither should replace a mask-based editor and diff check.
Which model is best at text in images?
GPT Image 2 won the dense infographic and narrowly won multilingual typography; the small-text ad was a tie. All generated text still needs proofreading before publication.
Which AI image model is fastest?
Nano Banana 2 was clearly faster on our consumer-web runs: approximately 14.5 seconds median versus 34.6 seconds for GPT across recorded common and repeat jobs. Platform load can change that result.
Does Grok Image 2.0 have an API price?
No price was published at our August 8, 2026 cutoff. xAI’s launch post says API access is coming soon. The older grok-imagine-image-quality API is a different model and should not be used as a pricing stand-in.
Can GPT Image 2 create transparent PNGs?
The official API guide says GPT Image 2 does not support transparent backgrounds. However, our ChatGPT consumer test downloaded a PNG with real alpha pixels. Treat that as observed consumer-product behavior, not an API guarantee.
Research and testing cutoff: August 8, 2026, 20:03 PDT. Evidence labels: xAI/OpenAI/Google capability statements are vendor claims; Arena ranks are live third-party evidence; scores, timings, files and alpha checks are Kingy hands-on results. The story-specific featured image is illustrative and is not benchmark evidence. The Grok Speed-mode appendix is exploratory access evidence and is excluded from scoring.