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long context benchmark

MRCR 128K (8-needle)

MRCR (Multi-Round Coreference Resolution) at 128K context length with 8 needles. Models must navigate long conversations to reproduce specific model outputs, testing attention and reasoning across 128K-token contexts with 8 items to retrieve.

Updated Aug 11, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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MRCR 128K (8-needle) Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

Show columns

1ACQwen3.7 MaxAlibaba Cloud / Qwen Team90.4%100.0%2CAug 11, 2026
2OPMiniCPM-SALAOpenBMB10.1%0.0%2CAug 11, 2026

MRCR 128K (8-needle) Score Distribution

A closer view of the leading scores on this benchmark.

MRCR 128K (8-needle)

MRCR 128K (8-needle) Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.7 Max90.4%Rank #2MiniCPM-SALA10.1%

What is MRCR 128K (8-needle)?

What MRCR 128K (8-needle) measures and how its scores work.

MRCR (Multi-Round Coreference Resolution) at 128K context length with 8 needles. Models must navigate long conversations to reproduce specific model outputs, testing attention and reasoning across 128K-token contexts with 8 items to retrieve.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
MRCR 128K (8-needle)
Modality
text
Primary category
long context
Score direction
higher
LLMBoard eligible
No
Evaluation key
mrcr-128k-(8-needle)|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about MRCR 128K (8-needle).

Which model scores highest on MRCR 128K (8-needle)?

Qwen3.7 Max is currently ranked first with 90.4%.

What does MRCR 128K (8-needle) measure?

MRCR (Multi-Round Coreference Resolution) at 128K context length with 8 needles. Models must navigate long conversations to reproduce specific model outputs, testing attention and reasoning across 128K-token contexts with 8 items to retrieve.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

2 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

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