How much does Embed 5 Pro cost?

Embed 5 Pro costs $0.12/M tokens for Text Input and $0.40/M image tokens for Image Input.

How much text can Embed 5 Pro process at once?

Embed 5 Pro accepts up to 128,000 tokens per input. Longer text has to be split into multiple inputs.

What inputs and outputs does Embed 5 Pro support?

Embed 5 Pro accepts text and images as input and returns embedding vectors.

Which providers serve Embed 5 Pro?

Embed 5 Pro is served by 1 provider on OpenRouter: Cohere.

What other embedding models does Cohere have?

Embed 5 Fast is another embedding model from Cohere.

When was Embed 5 Pro released?

Embed 5 Pro was released on November 3, 2026.

Cohere: Embed 5 Pro

cohere/embed-5-pro

Embed 5 Pro is the higher-accuracy tier of Cohere's Embed 5 family of multimodal embedding models (about 2.4B parameters). It embeds text, images, and interleaved text and image content into a single vector space and is suited for retrieval and RAG over long or domain-specific documents, visual and document search, and multilingual semantic search across 100+ languages.

It shares its embedding space with Embed 5 Fast, so a common pattern is to index a corpus with Pro and embed queries with Fast. Output dimensions are selectable from 256 to 2048, and input_type defaults to search_document when not set.

Modalities

Price

$0.12/M tokens

Context

128K

Released

Nov 3, 2026

Providers

This model is hosted by one provider. OpenRouter forwards every request without routing.

Latency


	$0.40	0.28s	100.00%

Image $0.40
0.28s latency100.00% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.1199/M tokens

Output

$0/M tokens

Embed 5 Pro — Price history

Price history

No effective price data for this selection

		$0.120	$0.00	0.0%	100.0%

Effective in $0.120Effective out $0.00
Token share
100.0%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.98%

Availability over the last 3 days

Last 72 hours

Availability 99.98%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.98%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Not currently available through EU in-region routing. In-region routing docs

Frequently asked questions

More models from Cohere

Embed 5 Fast

Embed 5 Fast is the lower-latency, cost-efficient tier of Cohere's Embed 5 family of multimodal embedding models (about 1B parameters). It embeds text, images, and interleaved text and image content into a single vector space and is suited for high-volume query embedding, agent loops, and multilingual semantic search across 100+ languages.

It shares its embedding space with Embed 5 Pro, so documents indexed with Pro can be queried with Fast. Output dimensions are selectable from 256 to 2048, and input_type defaults to search_document when not set.

Embeddings$0.08/M tokens

Rerank 5 Fast

Rerank 5 Fast is the low-latency tier of Cohere's Rerank 5 family of reranking models. It scores and reorders candidate documents against a query and is suited for high-throughput retrieval such as high-volume search, agent tool loops, and first-pass filtering before a more expensive step.

Relevance scores are calibrated to a 0-1 range so a fixed threshold behaves consistently across queries. Rerank 5 Pro is the higher-accuracy sibling for complex queries and long or domain-specific documents.

Rerank$0.02/M tokens

Rerank 5 Pro

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Relevance scores are calibrated to a 0-1 range so a fixed threshold behaves consistently across queries. Rerank 5 Fast is the lower-latency sibling for high-volume search and agent loops.

Rerank$0.05/M tokens

Command A+

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It offers a 256K-token context window with up to 64K tokens of output, supports interleaved reasoning and tool use via JSON schema, and is released open-weight under the Apache 2.0 license. Its small active-parameter footprint enables low-latency inference, including on local hardware.

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Rerank$0.002/search

Command A

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