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Favicon for cohere

Cohere: Rerank v3.5

cohere/rerank-v3.5

Rerank v3.5 is designed to reorder search results for improved relevance. It supports multi-aspect and semi-structured data reranking over 100+ languages. Ideal for refining results from semantic or keyword search pipelines.

Modalities
Price
$0.001/search
Context
4K
Released
Apr 5, 2026
ProvidersPricingPerformanceUptimeAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

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.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

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.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

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100.00%
Latency
0.26s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.99%

Availability over the last 3 days

Last 72 hours
Availability 99.99%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.99%

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 customization options.

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Frequently asked questions

Rerank v3.5 is designed to reorder search results for improved relevance. It supports multi-aspect and semi-structured data reranking over 100+ languages. Ideal for refining results from semantic or keyword search pipelines.

Rerank v3.5 costs $0.001/search.

Rerank v3.5 accepts up to 4,096 tokens per query and document. Longer text has to be split into multiple documents.

Rerank v3.5 accepts text as input and returns relevance-ranked documents.

Rerank 4 Pro and Rerank 4 Fast are other reranking models from Cohere.

Rerank v3.5 was released on April 5, 2026.

More models from Cohere

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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 4 Pro

Cohere's AI search foundation model for enhancing the relevance of information surfaced within search and RAG systems. Features a 32K context window, multilingual support across 100+ languages, no data pre-processing required, and state of the art performance with low latency.

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Rerank 4 Fast

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Command A

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Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

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Command R

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Read the launch post here.

Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

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Read the launch post here.

Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

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It offers multilingual support for ten key languages to facilitate global business operations. See benchmarks and the launch post here.

Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

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Command R+

Command R+ is a new, 104B-parameter LLM from Cohere. It's useful for roleplay, general consumer usecases, and Retrieval Augmented Generation (RAG).

It offers multilingual support for ten key languages to facilitate global business operations. See benchmarks and the launch post here.

Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

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Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

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Command R

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Read the launch post here.

Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

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Command R

Command-R is a 35B parameter model that performs conversational language tasks at a higher quality, more reliably, and with a longer context than previous models. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents.

Read the launch post here.

Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

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