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OpenAI MRCR v2 8-needle 512K-1M (MRCR v2 512K-1M)

We show this table for reference; we do not rank on it.

Data verified

MRCR v2 slice focused on retrieval across 512K-1M-token contexts.

Benchmark score on MRCR v2 512K-1M — October 17, 2026

We compile the MRCR v2 512K-1M rows from provider self-reports. Muse Spark 1.3 leads the table at 98.1%, followed by GPT-6 Astra (96.3%). We do not use these results to rank models overall.

2 modelsReasoningCurrentDisplay onlyUpdated October 17, 2026

Benchmark score table (2 models)

Benchmark score results for MRCR v2 512K-1M
RankModel / configurationScoreParameters (B)Open / closed
1Muse Spark 1.3Meta
98.1%
Not reportedClosed
2GPT-6 AstraOpenAI
96.3%
Not reportedClosed

About 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.

Freshness and provenance

Version

MRCR v2 512K-1M 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

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.

Questions

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?

2 AI models have published results on MRCR v2 512K-1M in the BenchLM catalog.

Compare top models on MRCR v2 512K-1M

Last updated: October 17, 2026 · BenchLM version MRCR v2 512K-1M 2026

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