Canonical page: https://mixerai.org/en/knowledge/compare/gpt-image-2-5-vs-midjourney/ [Mixer AI](https://mixerai.org/) › [Knowledge Base](https://mixerai.org/en/knowledge/) › [Comparison](https://mixerai.org/en/knowledge/compare/) › GPT Image 2.5 vs Midjourney: technical and visual comparison # GPT Image 2.5 vs Midjourney: technical and visual comparison This compares two models that are available in the current Mixer AI catalog. The table below is built from current product controls, while the visual section shows what to inspect with the same inputs and prompt instead of inventing one universal winner. [Try it on Mixer AI](https://mixerai.org/?dl=kb_gpt-image-2-5-vs-midjourney#/canvas) ## Key differences GPT Image 2.5: Flare for exploring ideas, Sunburst for demanding edits, with a shared image creation workflow. Midjourney: Explore a visual direction through lighting, material, composition and mood. Start with the specification table: it reflects current modes, input media, duration, resolution, aspect ratios and a normalized price where a fair comparison is possible. ## Specifications | Spec | GPT Image 2.5 | Midjourney | Model variants | Flare / Sunburst | V8.2 / V8.1 / V7 | Generation modes | from text / photo editing | from text | Input photos | up to 16 | No | Transparent background | Yes | No | Resolutions | 1K / 2K / 4K | fast / fast_hd | Aspect ratios | 9:16 / 16:9 / 1:1 / auto / 3:2 / 2:3 / 4:3 / 3:4 / 21:9 / 27:16 / 16:27 / 9:8 / 8:9 | 9:16 / 16:9 / 1:1 / 4:3 / 3:4 / 3:2 / 2:3 / 2:1 / 1:2 | Prompt limit | 20,000 characters | 4,000 characters | Price per image (different settings) | 7 coins · 1K | 8 coins · draft There is no shared resolution for a direct price comparison, so each price includes its setting and is not highlighted as cheaper. ## What to compare visually For a fair A/B test, use the same prompt, aspect ratio and references. Inspect more than overall style: object preservation, geometry, faces and hands, fine detail, text in the frame and unintended changes during editing. ## What to inspect with GPT Image 2.5 Flare for exploring ideas, Sunburst for demanding edits, with a shared image creation workflow. - Flare and Sunburst; up to 16 input photos; 1, 2 or 4 results. - 1K, 2K and 4K, with 13 aspect-ratio options including Auto. These are its own controls, not GPT Image 2's restrictions. - A variant name does not guarantee edit accuracy. Check faces and lettering. - Do not assume every option in another platform is available here; use the Mixer AI controls. ## What to inspect with Midjourney Explore a visual direction through lighting, material, composition and mood. - 8.2 and 8.1: text-based generation in Fast and Fast HD. - 7: Fast, Turbo, Draft and Omni with one image. Available modes depend on the version. - This is not a replacement for precise local photo retouching. - Omni belongs to version 7 in this integration; it does not automatically carry into 8.1 or 8.2. ## How to run a fair comparison - Lock one prompt, aspect ratio and a duration or resolution that both models actually support. - If input modes differ, compare the shared workflow first and test each model's extra controls separately. - Run more than one attempt: a single output reflects one seed, not the model's overall consistency. - Score prompt adherence, visual artifacts, reference preservation and the cost of the setting you would really use separately. ## What we compare [ GPT Image 2.5 Flare for exploring ideas, Sunburst for demanding edits, with a shared image creation workflow. ](https://mixerai.org/en/knowledge/image/gpt-image-2-5/)[ Midjourney Explore a visual direction through lighting, material, composition and mood. ](https://mixerai.org/en/knowledge/image/midjourney/) ## FAQ How should I compare GPT Image 2.5 and Midjourney fairly? Use a workflow both models share, keep inputs and prompt identical, then run several generations. Compare prompt adherence, visual consistency and the price of the setting you need as separate dimensions. Are both models available in Mixer AI? Yes. This page is generated only for models in the current public Mixer AI catalog; if a model leaves the catalog, the automated comparison must stop passing validation. Which model is better? There is no universal answer. First eliminate a model that cannot accept the input, duration, resolution or format you need, then compare outputs on your own scene. The table highlights only measurable advantages in individual specifications. ## See also [GPT Image 2 vs GPT Image 2.5: model comparison→](https://mixerai.org/en/knowledge/compare/gpt-image-2-vs-gpt-image-2-5/)[GPT Image 2 vs Midjourney: technical and visual comparison→](https://mixerai.org/en/knowledge/compare/gpt-image-2-vs-midjourney/)[GPT Image 2.5 vs Nano Banana: technical and visual comparison→](https://mixerai.org/en/knowledge/compare/gpt-image-2-5-vs-nano-banana/)[GPT Image 2.5 vs Nano Banana 2: technical and visual comparison→](https://mixerai.org/en/knowledge/compare/gpt-image-2-5-vs-nano-banana-2/) [Try it on Mixer AI](https://mixerai.org/?dl=kb_gpt-image-2-5-vs-midjourney#/canvas)