Model detail
Rerank v4.0 Fast
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 high performance with lowest latency.
Model specs
- Model ID
-
rerank-v4.0-fast
- Context length
- 32K
- Max output
- –
- I/O modalities
- –
- Released
- 2026-04
02
API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/chat/completionsPOST
03
Tiered pricing
Unit: /1M Tokens
| Tier |
|---|
| base |
05
Selection summary
Quickly judge whether it fits your workload
What is this model good for?
A light version of rerank-v4.0-pro, this is a multilingual model
A light version of rerank-v4.0-pro, this is a multilingual model that allows for re-ranking English and non-english documents and semi-structured data (JSON). This model is better suited for low latency and high throughput use-cases than its pro variant.
What should you check before using it?
32,000 context tokens
Model type: rerank. Verify supported features and quotas with the provider documentation.
Why use it through MixRoute?
One MixRoute key reaches rerank-v4.0-fast
One MixRoute key covers rerank-v4.0-fast, on the same account as the rest of the catalog. MixRoute serves rerank-v4.0-fast on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID rerank-v4.0-fast and re-run your integration tests.
09
FAQ
Before switching production traffic to Rerank v4.0 Fast, run a pilot on a representative slice of your traffic and check output quality, latency at peak concurrency, and cost per request. Verify the error and retry behaviour, and confirm the request limits you depend on match your plan.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.