OpenAI MRCR v2 8-needle 512K-1M (MRCR v2 512K-1M)
MRCR v2 slice focused on retrieval across 512K-1M-token contexts.
Data verified 27 confirmed releases in the last 30 daysSee the free Radar BriefBenchmark score on MRCR v2 512K-1M — September 2, 2026
We mirror the published score view for MRCR v2 512K-1M. Muse Spark 1.3 leads the public snapshot at 98.1%. We do not use these results to rank models overall.
1 modelReasoningCurrentDisplay onlyUpdated September 2, 2026
Benchmark score table (1 model)
ScoreAbout MRCR v2 512K-1M
Year
2026
Tasks
100 eight-needle retrieval examples
Format
Mean sequence-matcher ratio
Difficulty
Million-token retrieval
Meta re-bins OpenAI's MRCR v2 data by o200k_base token count and evaluates 100 examples with eight needles. The mean sequence-matcher ratio stays display-only because this slice is not part of the weighted reasoning schema.
BenchLM freshness & provenance
Version
MRCR v2 512K-1M 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
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.
FAQ
What does MRCR v2 512K-1M measure?
MRCR v2 slice focused on retrieval across 512K-1M-token contexts.
Which model scores highest on MRCR v2 512K-1M?
Muse Spark 1.3 by Meta currently leads with a score of 98.1% on MRCR v2 512K-1M.
How many models are evaluated on MRCR v2 512K-1M?
1 AI models have been evaluated on MRCR v2 512K-1M on BenchLM.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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