Side by side

See the difference.

Scores, capabilities and costs for the models you’re considering.

Scroll to compare models →

Comparison of Qwen3-Embedding-4B, Intfloat: Multilingual-E5-Large
2 modelsQwenQwen3-Embedding-4BRemove ×intfloatIntfloat: Multilingual-E5-LargeRemove ×
What’s differentThe Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3…The 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…
DateJun 10, 2025ListedJun 4, 2024Listed
Listed rate$0.02 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →
Context window32.8K512
Max output29.5K460
Parameters4B—
Open weightsSupportedSupported

Add another model

Search all models →