Benchmark profile
OpenAI MRCR v2 8-needle 128K-256K (MRCR v2 128K-256K)
MRCR v2 slice focused on very long contexts at 128K-256K lengths.
Data verifiedBenchmark score on MRCR v2 128K-256K — July 23, 2026
BenchLM mirrors the published score view for MRCR v2 128K-256K. GPT-5.5 leads the public snapshot at 87.5% , followed by Claude Opus 4.7 (Adaptive) (59.2%). BenchLM does not use these results to rank models overall.
GPT-5.5
OpenAI
gpt-5-5
Claude Opus 4.7 (Adaptive)
Anthropic
claude-opus-4-7-max
Benchmark score table (2 models)
ScoreAbout MRCR v2 128K-256K
Year
2026
Tasks
8-needle retrieval tasks
Format
Very-long-context retrieval
Difficulty
Very long-context reasoning
A harder MRCR setting that stresses memory discipline and retrieval deeper into long contexts.
BenchLM freshness & provenance
Version
MRCR v2 128K-256K 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 128K-256K measure?
MRCR v2 slice focused on very long contexts at 128K-256K lengths.
Which model scores highest on MRCR v2 128K-256K?
GPT-5.5 by OpenAI currently leads with a score of 87.5% on MRCR v2 128K-256K.
How many models are evaluated on MRCR v2 128K-256K?
2 AI models have been evaluated on MRCR v2 128K-256K on BenchLM.
Compare Top Models on MRCR v2 128K-256K
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