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Cohere Embed

by Cohere Inc.

System Card

OrganizationCohere Inc.
Released2021-01
Architectureexternal-memory-network / multilingual multimodal embedding API
DetailsCohere Embed v3 (released November 2023) is a multimodal embedding model supporting 100+ languages and image+text encoding, achieving SOTA on MTEB at release. The model uses compression-aware training to produce high-quality int8 quantized embeddings. Embed 4 (2025) added further multimodal improvements at $0.12/MTok.
Parameters—
Domainrag-retrieval
Open SourceNo
WebsiteVisit
multilingualmultimodalint8-compressionenterpriseMTEB

Capability Profile

Benchmark Scores

5 of 14 benchmarks
Data Transparency:5 estimated
Long-Context Retrieval
2/5
RULER
7582pEstimated
NIAH
no data
LooGLE
no data
LongBench
603pEstimated
∞Bench
no data
Multi-Turn Recall
0/2
LoCoMo
no data
MemoryBank
no data
Cross-Session Memory
0/1
LongMemEval
no data
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
70.943pEstimated
HotpotQA
7044pEstimated
Agent Task Memory
0/1
AgentBench-Mem
no data
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
1/1
RAGAS
6734pEstimated
Sources:Arena estimate — derived from capability profile, not independently verified