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Comparison of Intfloat: E5-Base-v2, Perplexity: Decider V1.2
2 modelsintfloatIntfloat: E5-Base-v2Remove ×perplexityPerplexity: Decider V1.2Remove ×
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…Decider V1.2 is a new 27B checkpoint of Perplexity's decision model, succeeding Decider V1.1 27B with the same API contract. Instead of generating text, it reads content passed as state...
DateNov 22, 2023ListedOct 16, 2026Listed
Listed rate$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.02 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →
Context window512262.1K
Max output460235.9K
Parameters——
Image inputNot reportedSupported
Open weightsSupportedNot reported

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