Migrate off Rerank Multilingual v2.0
RetiredRerank Multilingual v2.0 has been retired and shut down on 30 Apr 2025. Cohere's official replacement is Rerank 3.5 (rerank-v3.5). The cheapest comparable model we track is Llama 3.1 8B Instruct (Meta) at $0.022 per 1M tokens blended.
Last verified: 13 Aug 2026 · sourced from official provider documentation
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Rerank Multilingual v2.0 → Rerank 3.5 (rerank-v3.5)
| Spec | Rerank Multilingual v2.0 | Rerank 3.5 (rerank-v3.5) |
|---|---|---|
| Status | Retired | GA |
| Blended price /1M | — | — |
| Input / output /1M | — | — |
| Context window | — | 4K |
| Max output | — | — |
| Modality | text | text |
| Knowledge cutoff | — | — |
API string was rerank-multilingual-v2.0 → switch to rerank-v3.5. See Rerank 3.5 (rerank-v3.5)'s full spec sheet →
Budget-friendly replacements for Rerank Multilingual v2.0
Generally-available models that match Rerank Multilingual v2.0's capabilities, ranked by blended price. Every number is computed from official catalog prices.
| Model | Blended /1M | Input / output | Context |
|---|---|---|---|
| Llama 3.1 8B Instruct Meta | $0.022 | $0.02 / $0.03 | 128K |
| Amazon Nova Micro Amazon | $0.061 | $0.035 / $0.14 | 128K |
| Command R7B Cohere | $0.066 | $0.037 / $0.15 | 128K |
Migrating off Rerank Multilingual v2.0
What replaces Rerank Multilingual v2.0?
Cohere's recommended migration for Rerank Multilingual v2.0 is Rerank 3.5 (rerank-v3.5). The cheapest comparable model in our catalog is Llama 3.1 8B Instruct (Meta) at $0.022/1M blended.
Is Rerank Multilingual v2.0 still available?
No — Rerank Multilingual v2.0 has been retired (shut down 30 Apr 2025) and is no longer available via Cohere's API.
What is the cheapest alternative to Rerank Multilingual v2.0?
Llama 3.1 8B Instruct (Meta) is the cheapest generally-available alternative we track that matches Rerank Multilingual v2.0's capabilities, at $0.02 per 1M input and $0.03 per 1M output tokens ($0.022/1M blended).
Browse the full deprecation watch → or see Rerank Multilingual v2.0's full spec sheet →
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