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ModelScale

Reasoning benchmark

MRCR v2 64K-128K leaderboard

OpenAI MRCR v2 8-needle 64K-128K. Every model the catalog carries a published MRCR v2 64K-128K value for, ranked by that value.

CategoryReasoning
MeasureLong-context retrieval
Tasks8-needle retrieval tasks
DifficultyLong-context reasoning

MRCR v2 slice focused on long-context retrieval at 64K-128K lengths.

MRCR v2 64K-128K ranking

2 models with a published MRCR v2 64K-128K value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.

Models ranked by their published OpenAI MRCR v2 8-needle 64K-128K value
RankModelProviderLong-context retrieval
1Gemini 3.7 FlashGoogle97
2GPT-5.5OpenAI83.1

Evidence key: Observed

Rows are ordered by the value Introducing GPT-5.4 mini and nano published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.

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