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Comparison of codestral-embed, embeddinggemma-2, VoyageAI by MongoDB: voyage-code-4
3 modelsUnknowncodestral-embedRemove ×googleembeddinggemma-2Remove ×voyageaiVoyageAI by MongoDB: voyage-code-4Remove ×
What’s different8.2K contextEmbeddingGemma 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,…voyage-code-4 is a code embedding model from Voyage AI, a MongoDB company. It is designed for coding agents and code retrieval, with Matryoshka embeddings at 2048, 1024, 512, and 256...
DateOct 16, 2026DiscoveredOct 8, 2026ListedAug 13, 2026Listed
Listed rate$0.15 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rateSee provider quotes$0.12 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →0 endpoints →1 endpoint →
Context window8.2K8.2K32K
Max output——28.8K
Parameters———

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