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Cohere Rerank 5 launch: calibration error vs NIST TREC-DL assessors

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

Cohere launch reranking report.

Evaluation results published by Cohere.

Expected calibration error on Cohere Rerank 5 launch: calibration error vs NIST TREC-DL assessors — October 21, 2026 launch; November 4 capture

We mirror the published expected calibration error view for Cohere Rerank 5 launch: calibration error vs NIST TREC-DL assessors. Cohere Rerank 5 Pro leads the public snapshot at 0.057, followed by Cohere Rerank 5 Fast (0.058) and Voyage AI Rerank 3 (0.307). We do not use these results to rank models overall.

5 configurationsCross-domainDated provider configurationsDisplay onlyUpdated October 21, 2026 launch; November 4 capture

Expected calibration error table (5 configurations)

Expected calibration error results for Cohere Rerank 5 launch: calibration error vs NIST TREC-DL assessors
RankModel / configurationScoreParameters (B)Open / closed
1Cohere Rerank 5 ProCohereCohere provider report; evaluated snapshot and hardware undisclosed
0.057
Not reportedUnknown
2Cohere Rerank 5 FastCohereCohere provider report; evaluated snapshot and hardware undisclosed
0.058
Not reportedUnknown
3Voyage AI Rerank 3Voyage AICohere provider report; evaluated snapshot and hardware undisclosed
0.307
Not reportedUnknown
4Cohere Rerank 4 ProCohereCohere provider report; evaluated snapshot and hardware undisclosed
0.309
Not reportedUnknown
5Voyage AI Rerank 3 LiteVoyage AICohere provider report; evaluated snapshot and hardware undisclosed
0.325
Not reportedUnknown

How to read this provider report

Expected calibration error of raw relevance scores against NIST TREC Deep Learning assessors: 20,646 documents, useful = grade 2 or higher on the 0-3 scale. Lower is better; 0 is perfect. Scores used as returned, with no recalibration.

Cohere reports these results in its Rerank 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, candidate-set sizes, and uncertainty intervals are undisclosed.

Each metric retains its own cohort. Rerankers reorder candidates from a first-stage search; these scores do not measure embedding or keyword retrieval on their own. These provider comparisons do not enter weighted model rankings.

The published Cohere Rerank 5 launch: calibration error vs NIST TREC-DL assessors snapshot places Cohere Rerank 5 Pro first at 0.057. The third row is 0.250 score units higher. The broader top-10 range is 0.268 score units, so many of the published results sit in a relatively narrow band.

5 configurations are shown for Cohere Rerank 5 launch: calibration error vs NIST TREC-DL assessors. 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 Rerank 5 launch: calibration error vs NIST TREC-DL assessors is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About Cohere Rerank 5 launch: calibration error vs NIST TREC-DL assessors

Year

2026

Freshness and provenance

Version

Cohere Rerank 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 Rerank 5 launch: calibration error vs NIST TREC-DL assessors measure?

Cohere launch reranking report.

Which model leads the published Cohere Rerank 5 launch: calibration error vs NIST TREC-DL assessors snapshot?

Cohere Rerank 5 Pro currently leads the published Cohere Rerank 5 launch: calibration error vs NIST TREC-DL assessors snapshot with 0.057 expected calibration error. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on Cohere Rerank 5 launch: calibration error vs NIST TREC-DL assessors?

The October 21, 2026 launch; November 4 capture snapshot contains 5 AI models.

Last updated: October 21, 2026 launch; November 4 capture · mirrored from the public benchmark leaderboard

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