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OpenAI MRCR v2 8-needle 128K-256K (MRCR v2 128K-256K)

We mirror this table; we do not rank on it.

Data verified 35 confirmed releases in the last 30 daysFollow model changes

MRCR v2 slice focused on very long contexts at 128K-256K lengths.

Benchmark score on MRCR v2 128K-256K — September 18, 2026

We mirror 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%). We do not use these results to rank models overall.

1Proprietary

GPT-5.5

OpenAI

87.5%
Overall 71.86Context 1M
2Proprietary

Claude Opus 4.7 (Adaptive)

Anthropic

59.2%
Overall 69.31Context 1M

2 modelsReasoningCurrentDisplay onlyUpdated September 18, 2026

Benchmark score table (2 models)

Score
1
GPT-5.5OpenAI · Closed
87.5%
2
Claude Opus 4.7 (Adaptive)Anthropic · Closed
59.2%

About 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.

Introducing GPT-5.4 mini and nano

Freshness and provenance

Version

MRCR v2 128K-256K 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 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

GPT-5.5 vs Claude Opus 4.7 (Adaptive)
Last updated: September 18, 2026 · BenchLM version MRCR v2 128K-256K 2026

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