MRCR 1M (pointwise)
MRCR 1M (pointwise) is a variant of the Multi-Round Coreference Resolution benchmark that uses pointwise evaluation for ultra-long contexts (~1M tokens). This version evaluates each response independently rather than comparatively, testing models' absolute performance on long-context reasoning tasks.
Gemini 2.5 Pro from Google currently leads the MRCR 1M (pointwise) leaderboard with a score of 0.829 across 1 evaluated AI models.
Gemini 2.5 Pro leads with 82.9%.
Progress Over Time
Interactive timeline showing model performance evolution on MRCR 1M (pointwise)
MRCR 1M (pointwise) Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Google | — | 1.0M | $1.25 / $10.00 |
FAQ
Common questions about MRCR 1M (pointwise).
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