Side by side

See the difference.

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

Scroll to compare models →

Comparison of Intfloat: E5-Base-v2, multilingual-e5-large-instruct, Cloudflare: Clef Flash
3 modelsintfloatIntfloat: E5-Base-v2Remove ×intfloatmultilingual-e5-large-instructRemove ×cloudflareCloudflare: Clef FlashRemove ×
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…The Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:”…Small decision model for routing and scoring; the Workers AI route currently reads only roughly the first 2K text-state tokens.
DateNov 22, 2023ListedApr 17, 2025ListedOct 1, 2026Listed
Listed rate$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes$0.038 in / $0.00 out/ 1M tokensDeepInfra · all routes ↗
Provider endpoints1 endpoint →0 endpoints →2 endpoints →
Context window51251224.6K
Max output460—22.1K
Parameters———
Image inputNot reportedNot reportedSupported
Open weightsSupportedNot reportedSupported

Add another model

Search all models →