Product mockups are a brutal test for image generators. A phone case has to sit at the right angle, catch light like polycarbonate, and carry a logo that does not spell “SALE” as “SAEL.” Most models fail at least one of those. In 2026, the best options finally pass most of them.
The Artificial Analysis text-to-image snapshot puts GPT Image 2 (high) at the top with a score of 21,339, followed by Reve 2.1 at 21,299, MAI-Image-2.5 at 21,270, and Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) tied with GPT Image 1.5 (high) at 21,263. Those numbers are close. For product mockups, the real differences show up in text rendering, vector output, commercial safety, and how well a model holds a brand concept across a batch.
What product mockups actually need
A mockup is not a mood board. It is a sales asset. That means readable type, accurate materials, consistent lighting, and a file you can actually ship. Marketing teams need labels on bottles, app screens on devices, and packaging shots that look like they came from a studio, not a dream.
Text accuracy is usually the first thing to break. Independent testing by Nestcontent puts Ideogram 4.0 at roughly 90% text accuracy, with FLUX.2 Pro and GPT Image 2 close behind. Midjourney v8.1 still struggles, so it is better for artistic visuals where typography is added later in Canva or Figma. Craiyon is not usable for text at all.
Speed and cost matter too. A designer iterating through thirty label variants does not want a two-minute wait per image. Nano Banana 2 Lite sits near the top of the Artificial Analysis leaderboard and carries the Gemini 3.1 Flash Lite Image backend, which points to a leaner, faster generation path, though exact latency for mockups is not reported.
Model comparison for product mockups
| Model | Maker | Artificial Analysis score | Best mockup use | Text accuracy | Commercial / format notes |
|---|---|---|---|---|---|
| GPT Image 2 (high) | OpenAI | 21,339 | Overall quality, prompt following | Strong (Transfusion architecture) | Closed API; usage terms apply |
| Reve 2.1 | Reve | 21,299 | General image quality | Not reported | Not reported |
| MAI-Image-2.5 | Microsoft AI | 21,270 | Microsoft ecosystem integration | Not reported | Closed |
| Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | 21,263 | Fast, low-cost iterations | Not reported | Closed | |
| GPT Image 1.5 (high) | OpenAI | 21,263 | High-fidelity stills | Strong | Closed |
| Ideogram 4.0 | Ideogram | Not in top 5 AA | Labels, posters, signage | ~90% | Not reported |
| Recraft V4 / v4.1 Pro | Recraft | Pixazo Elo 1293.3 | Native SVG, brand kit support | Not reported | Closed |
| Adobe Firefly | Adobe | Not reported | Campaigns needing IP safety | Not reported | Up to $3M IP indemnification on enterprise plans |
| FLUX.2 Pro / Max | Black Forest Labs | Pixazo Elo 1292.3 / 1291.9 | Open/closed flexibility; strong text | Strong | Closed Pro/Max; open-weight options exist via Cosmos 3 Super |
The top tier for mockups
GPT Image 2 ranks first on the Artificial Analysis snapshot and first on Pixazo’s text-to-image Elo ranking at 1324, just one point above GPT Image 1.5. OpenAI built it on a Transfusion architecture that natively integrates language understanding with image generation. That matters for mockups because the model understands what a “matte black tin with a white sans-serif label” means as a single instruction, not as two unrelated concepts.
MAI-Image-2.5 from Microsoft sits at 1317.6 on Pixazo and 21,270 on Artificial Analysis. It is a closed model, so the best fit is teams already inside Azure or Microsoft Copilot workflows. Mockup-specific performance is not reported, but its position in the tight top pack suggests it is a safe generalist.
Nano Banana 2 Lite, Google’s Gemini 3.1 Flash Lite Image variant, is tied with GPT Image 1.5 on Artificial Analysis at 21,263 and scores 1316.5 on Pixazo. If you are generating dozens of thumbnail packaging options or quick social proofs, this is the speed pick. Just do not expect it to beat GPT Image 2 on fine material detail until independent mockup benchmarks show otherwise.
Where specialists win
Ideogram 4.0 is not in the Artificial Analysis top five, and Pixazo places it at 1272, well below the leaders. Ignore the overall ranking if your mockup has text. Nestcontent’s testing gives Ideogram 4.0 about 90% text accuracy, the highest reported. For labels, signage, and packaging where the words have to be right, it is the safest choice.
Recraft V4 is the only model producing true scalable vector SVG output with native brand kit support, according to Nestcontent. Pixazo lists Recraft v4.1 Pro at 1293.3. For mockups that need to scale from business card to billboard, or for teams that need locked-in colors and fonts across a batch, Recraft is the only option that outputs geometry rather than pixels.
Adobe Firefly does not top the quality leaderboards, but it is the only generator with formal IP indemnification up to $3 million on enterprise plans. If the mockup is going on a national campaign, that legal guardrail can matter more than a few Elo points.
Open-weight and self-hosted options
Not every team wants to send product designs to a third-party API. NVIDIA Cosmos 3 Super scores 1303.4 on Pixazo and is listed as open weights. Black Forest Labs offers open-weight options in the FLUX family, though FLUX.2 Pro and FLUX.2 Max themselves are closed and score 1292.3 and 1291.9 respectively. For studios with sensitive packaging or unreleased products, self-hosting Cosmos or FLUX open variants keeps data in-house.
Prompt structure matters more than the model
Even the best generator will botch text if the prompt is sloppy. Nestcontent found that putting text in double quotes, keeping it under 25 characters, and separating text instructions from scene description improves accuracy. “A glass jar on a marble counter, label reads ‘Organic Honey’ in brown serif letters” beats “make a nice honey jar with the words Organic Honey on it.”
For mockups, add material and lighting details. “Frosted plastic pump bottle, soft studio light from the left, white background, shadow beneath” gives the model enough physics to work with. Vague prompts produce vague products.
What to skip
Midjourney v8.1 remains gorgeous for illustration and concept art, but independent reviewers describe its text as “stiff and unnatural.” Use it for the visual idea, then rebuild the final mockup in a text-capable model. Craiyon cannot render readable text at all, so it is off the table for any mockup with words.
Bottom line
For most product mockups in 2026, start with GPT Image 2. It leads the Artificial Analysis snapshot at 21,339 and Pixazo’s Elo ranking at 1324, and it handles text well enough for most packaging work. If the mockup is text-heavy, Ideogram 4.0 is the safer bet. If you need scalable brand assets, Recraft V4 is the only one with true SVG output and brand kit support. If legal risk keeps you up at night, Adobe Firefly’s enterprise indemnification is the only formal safety net. And if you are iterating fast and cheap, Nano Banana 2 Lite sits in the top tier at 21,263 and is built for speed.
Pick the model that matches the weakest link in your workflow. That is usually text, rights, or output format, not raw image quality.