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Comparison of Intfloat: E5-Base-v2, Ideogram V4.5 Text to Image, LiquidAI: LFM2.5-Embedding-350M (free)
3 modelsintfloatIntfloat: E5-Base-v2Remove ×ideogramIdeogram V4.5 Text to ImageRemove ×liquidLiquidAI: LFM2.5-Embedding-350M (free)Remove ×
What’s differentThe e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as…Generate high-quality images, posters, and logos with Ideogram 4.5, with accurate text rendering and low, medium, or high quality tiers.LFM2.5-Embedding-350M is a text embedding model from Liquid AI. It produces 1,024-dimensional embeddings for retrieval and semantic search. Successful OpenRouter requests and embeddings may be retained and…
DateNov 22, 2023ListedSep 30, 2026ReleasedAug 18, 2026Listed
Listed rate$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes$0.00 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →1 endpoint →
AA Image ↗2.1Not reported1,015.07 ↗Text-to-image · all categories · quality=highIndependent result95% CI 1,000.07–1,030.07 · n=2,888Not reported
Context window512—512
Max output460—460
Parameters———
Open weightsSupportedNot reportedSupported

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