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Comparison of multilingual-e5-large-instruct, Cohere: Command A+, bge-m3-multi-8k
3 modelsintfloatmultilingual-e5-large-instructRemove ×cohereCohere: Command A+Remove ×BAAIbge-m3-multi-8kRemove ×
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:”…Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured...BGE-M3 is a multilingual text embedding model developed by BAAI, distinguished by its Multi-Linguality (supporting 100+ languages), Multi-Functionality (unified dense, multi-vector, and sparse retrieval),…
DateApr 17, 2025ListedSep 22, 2026ListedSep 3, 2026Listed
Listed rateSee provider quotes$0.30 in / $1.50 out/ 1M tokensCohere · via OpenRouter · all routes ↗cohereSee provider quotes
Provider endpoints0 endpoints →2 endpoints →0 endpoints →
Context window512192K8.2K
Max output—64K—
Parameters———
Tool callingNot reportedSupportedNot reported
Structured outputNot reportedSupportedNot reported
Image inputNot reportedSupportedNot reported
ReasoningNot reportedSupportedNot reported
Prompt cachingNot reportedSupportedNot reported

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