Cohere Embed v4 vs Gemini
Which one should you try?
Cohere Embed v4
FreemiumBest for Production semantic search requiring multimodal support
Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.
Cohere Embed v4
Cohere Embed v4 transforms text, images, and mixed content into unified vector representations for semantic search, RAG, document clustering, and similarity matching. The model supports 1,536-dimensional embeddings with flexible compression via Matryoshka embeddings (256, 512, 1024, 1536 dimensions). Priced at $0.12/1M text tokens and $0.47/1M image tokens, it delivers multimodal capabilities competitive with text-only alternatives. The API supports batch processing up to 128,000 tokens per request with asymmetric search optimization. Limitation: incompatible with v3 embeddings; corpus re-embedding required for upgrades.
Gemini
Google's assistant for writing, research, file analysis and tasks using supported connected apps.
| Attribute | Cohere Embed v4 | Gemini |
|---|---|---|
| Pricing | Freemium | Freemium |
| Price | $0.12 per 1M text tokens; $0.47 per 1M image tokens | Free; paid plans from US$4.99/month (Google AI Plus, US pricing) |
| Pricing checked | Not checked yet | Oct 17, 2026 |
| Free trial | 0 days | Not stated |
| Open source | No | No |
| Has API | Yes | Yes |
| Self-hosted option | No | No |
| Platforms | Cohere Platform, AWS Bedrock, Azure AI Foundry, Amazon SageMaker, GitHub Models | Web, Android, iOS, Windows, macOS |
| Languages | English and 100+ languages for text input; English for image input | — |
| Released | 2025-04-15 | — |
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Made up your mind?
Cohere Embed v4
FreemiumBest for Production semantic search requiring multimodal support
Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.