Cohere Embed 5 launch: Japanese retrieval composite

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

Cohere launch retrieval report.

Evaluation results published by Cohere.

Should you trust a Cohere Embed 5 launch: Japanese retrieval composite score?

Read with care: scores cluster at the top; the benchmark is not marked current.

Saturation Active: Top three within 3 score units; frontier rows are clustering, so read gaps at the top with care.
Who produced the rows Mirrored table: Every row is mirrored from Cohere Embed 5 launch report as it publishes it; BenchLM did not re-run these results. Source.
Freshness and weight Display only: Dated provider configurations, refreshed reviewed dated source capture. Display only; it does not move rankings. Upstream datasets and terms; aggregate results only.

Row statuses come from the verification registry; saturation and freshness from the benchmark lifecycle. A provider self-report is displayable evidence, not an independent run.

Mixed nDCG@10 and RCP-nDCG@10 on Cohere Embed 5 launch: Japanese 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: Japanese retrieval composite. Gemini Embedding 2 leads the public snapshot at 90, followed by Cohere Embed 5 Pro (87) and Voyage 4 Large (87). We do not use these results to rank models overall.

Gemini Embedding 2

Google

Cohere provider report; evaluated snapshot and hardware undisclosed

Cohere Embed 5 Pro

Cohere

Cohere provider report; evaluated snapshot and hardware undisclosed

Voyage 4 Large

Voyage 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)

Mixed nDCG@10 and RCP-nDCG@10 results for Cohere Embed 5 launch: Japanese retrieval composite
Rank	Model / configuration	Score	Parameters (B)	Open / closed
1	Gemini Embedding 2GoogleCohere provider report; evaluated snapshot and hardware undisclosed	90	Not reported	Unknown
2	Cohere Embed 5 ProCohereCohere provider report; evaluated snapshot and hardware undisclosed	87	Not reported	Unknown
3	Voyage 4 LargeVoyage AICohere provider report; evaluated snapshot and hardware undisclosed	87	Not reported	Unknown
4	Cohere Embed 5 FastCohereCohere provider report; evaluated snapshot and hardware undisclosed	85	Not reported	Unknown
5	Cohere Embed 4CohereCohere provider report; evaluated snapshot and hardware undisclosed	83	Not reported	Unknown
6	Jina Embeddings v5 Text SmallJina AICohere provider report; evaluated snapshot and hardware undisclosed	83	Not reported	Unknown
7	OpenAI text-embedding-3-largeOpenAICohere provider report; evaluated snapshot and hardware undisclosed	80	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.

Snapshot

Cohere launch and charts Embed API model details Provider full-results sheet (sign-in required at capture)RCP-nDCG methodology and annotations

The published Cohere Embed 5 launch: Japanese retrieval composite snapshot places Gemini Embedding 2 first at 90. The third row is 3 score units behind. The broader top-10 range is 10 score units, so the table still separates the published systems.

7 configurations are shown for Cohere Embed 5 launch: Japanese 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: Japanese retrieval composite is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About Cohere Embed 5 launch: Japanese retrieval composite

Year

2026

Public benchmark source

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: Japanese retrieval composite measure?

Cohere launch retrieval report.

Which model leads the published Cohere Embed 5 launch: Japanese retrieval composite snapshot?

Gemini Embedding 2 currently leads the published Cohere Embed 5 launch: Japanese retrieval composite snapshot with 90 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: Japanese retrieval composite?

The September 30, 2026 launch; October 1 capture snapshot contains 7 AI models.

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

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