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Cohere Embed 5 launch: Parsed PDF full-suite average

We show this table for reference; we do not rank on it.

Cohere launch retrieval report.

Evaluation results published by Cohere.

RCP-nDCG@10 on Cohere Embed 5 launch: Parsed PDF full-suite average — September 30, 2026 launch; October 1 capture

We mirror the published rcp-ndcg@10 view for Cohere Embed 5 launch: Parsed PDF full-suite average. Cohere Embed 5 Pro leads the public snapshot at 84.8, followed by Voyage 4 Large (83.6) and Cohere Embed 5 Fast (83.4). We do not use these results to rank models overall.

5 configurationsCross-domainDated provider configurationsDisplay onlyUpdated September 30, 2026 launch; October 1 capture

RCP-nDCG@10 table (5 configurations)

RCP-nDCG@10 results for Cohere Embed 5 launch: Parsed PDF full-suite average
RankModel / configurationScoreParameters (B)Open / closed
1Cohere Embed 5 ProCohereCohere provider report; evaluated snapshot and hardware undisclosed
84.8
Not reportedUnknown
2Voyage 4 LargeVoyage AICohere provider report; evaluated snapshot and hardware undisclosed
83.6
Not reportedUnknown
3Cohere Embed 5 FastCohereCohere provider report; evaluated snapshot and hardware undisclosed
83.4
Not reportedUnknown
4Gemini Embedding 2GoogleCohere provider report; evaluated snapshot and hardware undisclosed
80.8
Not reportedUnknown
5Cohere Embed 4CohereCohere provider report; evaluated snapshot and hardware undisclosed
78.6
Not reportedUnknown

How to read this provider report

Documents were parsed with Gemini 1.5 Flash. The full suite includes additional datasets omitted from the illustrative chart. RCP scores use a fixed candidate set, so this cohort is separate from page-image and fused-input retrieval.

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: Parsed PDF full-suite average snapshot places Cohere Embed 5 Pro first at 84.8. The third row is 1.4 score units behind. The broader top-10 range is 6.2 score units, so many of the published results sit in a relatively narrow band.

5 configurations are shown for Cohere Embed 5 launch: Parsed PDF full-suite average. 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: Parsed PDF full-suite average is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About Cohere Embed 5 launch: Parsed PDF full-suite average

Year

2026

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

Dated provider configurationsDisplay 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: Parsed PDF full-suite average measure?

Cohere launch retrieval report.

Which model leads the published Cohere Embed 5 launch: Parsed PDF full-suite average snapshot?

Cohere Embed 5 Pro currently leads the published Cohere Embed 5 launch: Parsed PDF full-suite average snapshot with 84.8 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: Parsed PDF full-suite average?

The September 30, 2026 launch; October 1 capture snapshot contains 5 AI models.

Last updated: September 30, 2026 launch; October 1 capture · mirrored from the public benchmark leaderboard

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