LLM Reference

Rerank English V2

Released
2024-04-04
Last refreshed
2026-05-19
Status
Researched 16d ago

Rerank English V2 has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 512 context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
Rerank
Released
2024-04-04
Context
512
Architecture
Decoder Only
Specialization
general
Training
finetuned
Created by

Empowering developers with advanced language AI.

Toronto, Ontario, Canada
Founded 2022
Website
Pricing

No tracked provider token pricing is available yet.

About

Rerank English V2 is Cohere's Rerank model. It offers a 512-token context window.

Rerank English V2 is a model in the Rerank family. The structured metadata tracks a 512-token context window. No headline benchmark score is tracked for Rerank English V2 yet.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(4)