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Comparison of codestral-embed, clef, bge-m3-multi-8k
3 modelsUnknowncodestral-embedRemove ×UnknownclefRemove ×BAAIbge-m3-multi-8kRemove ×
What’s different8.2K context65.5K contextBGE-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),…
DateOct 16, 2026DiscoveredOct 16, 2026DiscoveredSep 3, 2026Listed
Listed rate$0.15 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate$0.24 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rateSee provider quotes
Provider endpoints1 endpoint →1 endpoint →0 endpoints →
Context window8.2K65.5K8.2K
Max output———
Parameters———

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