Side by side

See the difference.

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

Scroll to compare models →

Comparison of OpenAI: Text Embedding 3 Large, Intfloat: E5-Base-v2
2 modelsopenaiOpenAI: Text Embedding 3 LargeRemove ×intfloatIntfloat: E5-Base-v2Remove ×
What’s differenttext-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. Embeddings are a numerical representation of text that can be used to measure the relatedness between…The 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…
DateOct 30, 2025ListedNov 22, 2023Listed
Listed rate$0.13 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →
Context window8.2K512
Max output7.4K460
Parameters——
Open weightsNot reportedSupported

Add another model

Search all models →