Cohere Embed 5 launch: Telugu retrieval composite
We show this table for reference; we do not rank on it.
Cohere launch retrieval report.
Evaluation results published by Cohere.
Mixed nDCG@10 and RCP-nDCG@10 on Cohere Embed 5 launch: Telugu retrieval composite — September 30, 2026 launch; October 1 capture
We mirror the published mixed ndcg@10 and rcp-ndcg@10 view for Cohere Embed 5 launch: Telugu retrieval composite. Gemini Embedding 2 leads the public snapshot at 91, followed by Voyage 4 Large (89) and Jina Embeddings v5 Text Small (82). We do not use these results to rank models overall.
Gemini Embedding 2
Cohere provider report; evaluated snapshot and hardware undisclosed
Voyage 4 Large
Voyage AI
Cohere provider report; evaluated snapshot and hardware undisclosed
Jina Embeddings v5 Text Small
Jina AI
Cohere provider report; evaluated snapshot and hardware undisclosed
7 configurationsCross-domainDated provider configurationsDisplay onlyUpdated September 30, 2026 launch; October 1 capture
Mixed nDCG@10 and RCP-nDCG@10 table (7 configurations)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | Gemini Embedding 2GoogleCohere provider report; evaluated snapshot and hardware undisclosed | 91 | Not reported | Unknown |
| 2 | Voyage 4 LargeVoyage AICohere provider report; evaluated snapshot and hardware undisclosed | 89 | Not reported | Unknown |
| 3 | Jina Embeddings v5 Text SmallJina AICohere provider report; evaluated snapshot and hardware undisclosed | 82 | Not reported | Unknown |
| 4 | Cohere Embed 5 ProCohereCohere provider report; evaluated snapshot and hardware undisclosed | 80 | Not reported | Unknown |
| 5 | Cohere Embed 5 FastCohereCohere provider report; evaluated snapshot and hardware undisclosed | 76 | Not reported | Unknown |
| 6 | Cohere Embed 4CohereCohere provider report; evaluated snapshot and hardware undisclosed | 68 | Not reported | Unknown |
| 7 | OpenAI text-embedding-3-largeOpenAICohere provider report; evaluated snapshot and hardware undisclosed | 63 | Not reported | Unknown |
How to read this provider report
Exact launch-table values. The multilingual section combines composite benchmarks measured with nDCG@10 or RCP-nDCG@10; individual task weights, evaluation dates, and model snapshots are not provided.
Cohere reports these results in its Embed 5 launch. The linked full spreadsheet requires sign-in at capture, so this view includes only exact figures available in the public post. Model snapshots, evaluation dates, and uncertainty intervals are undisclosed.
Each input representation and metric retains its own cohort. RCP-nDCG@10 evaluates reordering a fixed candidate set; it does not measure first-stage retrieval. These provider comparisons do not enter weighted model rankings.
The published Cohere Embed 5 launch: Telugu retrieval composite snapshot places Gemini Embedding 2 first at 91. The third row is 9 score units behind. The broader top-10 range is 28 score units, so the table still separates the published systems.
7 configurations are shown for Cohere Embed 5 launch: Telugu retrieval composite. The benchmark falls in the Cross-domain category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. Cohere Embed 5 launch: Telugu retrieval composite is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Freshness and provenance
Version
Cohere Embed 5 launch provider report
Refresh cadence
Reviewed dated source capture
Staleness state
Dated provider configurations
Question availability
Upstream datasets and terms; aggregate results only
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does Cohere Embed 5 launch: Telugu retrieval composite measure?
Cohere launch retrieval report.
Which model leads the published Cohere Embed 5 launch: Telugu retrieval composite snapshot?
Gemini Embedding 2 currently leads the published Cohere Embed 5 launch: Telugu retrieval composite snapshot with 91 mixed ndcg@10 and rcp-ndcg@10. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Cohere Embed 5 launch: Telugu retrieval composite?
The September 30, 2026 launch; October 1 capture snapshot contains 7 AI models.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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