OpenAI-MRCR: 2 needle 256k

Multi-Round Co-reference Resolution (MRCR) benchmark that tests long-context reasoning by evaluating a model's ability to distinguish between similar outputs, reason about ordering, and reproduce specific content from multi-turn conversations containing multiple writing requests on overlapping topics at 256k tokens.

GPT-5 from OpenAI currently leads the OpenAI-MRCR: 2 needle 256k leaderboard with a score of 0.868 across 1 evaluated AI models.

Paper

OpenAIGPT-5 leads with 86.8%.

Progress Over Time

Interactive timeline showing model performance evolution on OpenAI-MRCR: 2 needle 256k

State-of-the-art frontier
Open
Proprietary

OpenAI-MRCR: 2 needle 256k Leaderboard

1 models
ContextCostLicense
1
OpenAI
OpenAI
Notice missing or incorrect data?

FAQ

Common questions about OpenAI-MRCR: 2 needle 256k.

What is the OpenAI-MRCR: 2 needle 256k benchmark?

Multi-Round Co-reference Resolution (MRCR) benchmark that tests long-context reasoning by evaluating a model's ability to distinguish between similar outputs, reason about ordering, and reproduce specific content from multi-turn conversations containing multiple writing requests on overlapping topics at 256k tokens.

What is the OpenAI-MRCR: 2 needle 256k leaderboard?

The OpenAI-MRCR: 2 needle 256k leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, GPT-5 by OpenAI leads with a score of 0.868. The average score across all models is 0.868.

What is the highest OpenAI-MRCR: 2 needle 256k score?

The highest OpenAI-MRCR: 2 needle 256k score is 0.868, achieved by GPT-5 from OpenAI.

How many models are evaluated on OpenAI-MRCR: 2 needle 256k?

1 models have been evaluated on the OpenAI-MRCR: 2 needle 256k benchmark, with 0 verified results and 1 self-reported results.

Where can I find the OpenAI-MRCR: 2 needle 256k paper?

The OpenAI-MRCR: 2 needle 256k paper is available at https://arxiv.org/abs/2409.12640. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does OpenAI-MRCR: 2 needle 256k cover?

OpenAI-MRCR: 2 needle 256k is categorized under long context and reasoning. The benchmark evaluates text models.

More evaluations to explore

Related benchmarks in the same category

View all long context
GPQA

A challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. Questions are Google-proof and extremely difficult, with PhD experts reaching 65% accuracy.

reasoning
213 models
MMLU-Pro

A more robust and challenging multi-task language understanding benchmark that extends MMLU by expanding multiple-choice options from 4 to 10, eliminating trivial questions, and focusing on reasoning-intensive tasks. Features over 12,000 curated questions across 14 domains and causes a 16-33% accuracy drop compared to original MMLU.

reasoning
119 models
AIME 2025

All 30 problems from the 2025 American Invitational Mathematics Examination (AIME I and AIME II), testing olympiad-level mathematical reasoning with integer answers from 000-999. Used as an AI benchmark to evaluate large language models' ability to solve complex mathematical problems requiring multi-step logical deductions and structured symbolic reasoning.

reasoning
107 models
MMLU

Massive Multitask Language Understanding benchmark testing knowledge across 57 diverse subjects including STEM, humanities, social sciences, and professional domains

reasoning
99 models
SWE-Bench Verified

A verified subset of 500 software engineering problems from real GitHub issues, validated by human annotators for evaluating language models' ability to resolve real-world coding issues by generating patches for Python codebases.

reasoning
89 models
Humanity's Last Exam

Humanity's Last Exam (HLE) is a multi-modal academic benchmark with 2,500 questions across mathematics, humanities, and natural sciences, designed to test LLM capabilities at the frontier of human knowledge with unambiguous, verifiable solutions

reasoningmultimodal
74 models