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long context benchmark

MRCR 128K (8-needle) Leaderboard

MRCR (Multi-Round Coreference Resolution) at 128K context length with 8 needles requires models to reproduce specific model outputs from long conversations.

Updated Sep 5, 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

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore90.40%Percentile100.00%Participants2EvidenceCEvaluatedSep 8, 2026
Rank02ModelOPMiniCPM-SALAOpenBMBScore10.12%Percentile0.00%Participants2EvidenceCEvaluatedSep 8, 2026

MRCR 128K (8-needle) Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.7 Max90.40%Rank #2MiniCPM-SALA10.12%

MRCR 128K (8-needle) Score Distribution

A closer view of the leading scores on this benchmark.

MRCR 128K (8-needle)

The Top AI Models for MRCR 128K (8-needle)

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is MRCR 128K (8-needle)?

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

A long-context benchmark using 128K-token contexts and 8 items to retrieve.

It measures Score as a ratio, evaluating attention and reasoning across long conversations.

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
overall

LLM Stats. 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 90.40%.

What are the top three models on MRCR 128K (8-needle)?

The current leaders are Qwen3.7 Max (90.40%) and MiniCPM-SALA (10.12%).

Which MRCR 128K (8-needle) model has the lowest official input price?

Qwen3.7 Max has the lowest matched official input price at $2.5 input / $7.5 output per 1M tokens.

Which models are fastest among MRCR 128K (8-needle) results?

No matched runtime record is currently available.

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

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

It measures Score as a ratio, evaluating attention and reasoning across long conversations.

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.

Ranking basisThis mrcr 128k (8-needle) AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AC
    Qwen3.7 MaxAlibaba Cloud / Qwen Team
    Score
    90.40%
    Price
    $2.5 input / $7.5 output per 1M tokens

    Strengths

    • Ranks #1 of 2 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MRCR 128K (8-needle), not total model capability
  2. 02
    OP
    MiniCPM-SALAOpenBMB
    Score
    10.12%

    Strengths

    • Ranks #2 of 2 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MRCR 128K (8-needle), not total model capability

Selection summary

Best AI Models for MRCR 128K (8-needle)

Qwen3.7 Max currently leads MRCR 128K (8-needle) with 90.40%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Benchmark rank #1Qwen3.7 Max90.40% · $2.5 input / $7.5 output per 1M tokens
Benchmark rank #2MiniCPM-SALA10.12%