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Comparison of text-embedding-3-large, Intfloat: Multilingual-E5-Large, Ideogram V4.5 Text to Image
3 modelsUnknowntext-embedding-3-largeRemove ×intfloatIntfloat: Multilingual-E5-LargeRemove ×ideogramIdeogram V4.5 Text to ImageRemove ×
What’s different8.2K contextThe multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized…Generate high-quality images, posters, and logos with Ideogram 4.5, with accurate text rendering and low, medium, or high quality tiers.
DateOct 16, 2026DiscoveredJun 4, 2024ListedSep 30, 2026Released
Listed rate$0.13 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes
Provider endpoints1 endpoint →1 endpoint →1 endpoint →
AA Image ↗2.1Not reportedNot reported1,015.68 ↗Text-to-image · all categories · quality=highIndependent result95% CI 1,000.68–1,030.68 · n=2,634
Context window8.2K512—
Max output—460—
Parameters———
Open weightsNot reportedSupportedNot reported

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