embed-v-4-0 · Cohere
Cohere’s Embed 4 is a multilingual multimodal embedding model. It is capable of transforming different modalities such as images, texts, and interleaved images and texts into a single vector representation. Embed 4 offers state-of-the-art performance across all modalities (texts, images, interleaved texts and image) and in both English and multilingual settings. Embed 4 supports a 128k context length and an images can have a maximum of 2MM pixels.
Cohere’s Embed 4 is a multilingual multimodal embedding model. It is capable of transforming different modalities such as images, texts, and interleaved images and texts into a single vector representation. Embed 4 offers state-of-the-art performance across all modalities (texts, images, interleaved texts and image) and in both English and multilingual settings. Embed 4 supports a 128k context length and an images can have a maximum of 2MM pixels.
Embed V 4.0 has a 128,000 token context window.
On AIHubMix, Embed V 4.0 costs $0.12 per million input tokens.
Embed V 4.0 accepts text and image input.
Embed V 4.0 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to embed-v-4-0 — no other code changes needed.
Embed V 4.0 is developed by Cohere. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use Embed V 4.0 via the AIHubMix unified API — one interface for every major LLM.