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Comparison of Ming-Image-0.1-Design, embeddinggemma-2, Ideogram V4.5 Text to Image
3 modelsinclusionAIMing-Image-0.1-DesignRemove ×googleembeddinggemma-2Remove ×ideogramIdeogram V4.5 Text to ImageRemove ×
What’s differentDesign-native, open-weight text-to-image (6B) — ranked #1 among open-weight models on Artificial Analysis's UI/UX Design leaderboard. Renders legible UI and poster text plus cohesive graphics, illustration…EmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space,…Generate high-quality images, posters, and logos with Ideogram 4.5, with accurate text rendering and low, medium, or high quality tiers.
DateSep 22, 2026ReleasedOct 8, 2026ListedSep 30, 2026Released
Listed rateSee provider quotesSee provider quotesSee provider quotes
Provider endpoints0 endpoints →0 endpoints →1 endpoint →
AA Image ↗2.1998.74 ↗Text-to-image · all categoriesIndependent result95% CI 989.74–1,007.74 · n=20,061Not reported1,014.97 ↗Text-to-image · all categories · quality=highIndependent result95% CI 999.97–1,029.97 · n=2,677
Context window—8.2K—
Max output———
Parameters———
Open weightsSupportedNot reportedNot reported

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