Side by side

See the difference.

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

Scroll to compare models →

Comparison of multilingual-e5-large-instruct, Cloudflare: Clef, embeddinggemma-2
3 modelsintfloatmultilingual-e5-large-instructRemove ×cloudflareCloudflare: ClefRemove ×googleembeddinggemma-2Remove ×
What’s differentThe 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:”…Clef is Cloudflare's open-source 27B multimodal decision model, a fine-tune of Qwen3.8-27B served on Workers AI. It turns a state (text or structured JSON) plus a schema of typed questions...EmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space,…
DateApr 17, 2025ListedOct 1, 2026ListedOct 8, 2026Listed
Listed rateSee provider quotes$0.042 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes
Provider endpoints0 endpoints →2 endpoints →0 endpoints →
Context window51265.5K8.2K
Max output—14.7K—
Parameters———
Image inputNot reportedSupportedNot reported
Open weightsNot reportedSupportedNot reported

Add another model

Search all models →