OpenAI-MRCR: 2 needle 128k
Multi-round Co-reference Resolution (MRCR) benchmark for evaluating an LLM's ability to distinguish between multiple needles hidden in long context. Models are given a long, multi-turn synthetic conversation and must retrieve a specific instance of a repeated request, requiring reasoning and disambiguation skills beyond simple retrieval.
GPT-5 from OpenAI currently leads the OpenAI-MRCR: 2 needle 128k leaderboard with a score of 0.952 across 9 evaluated AI models.
GPT-5 leads with 95.2%, followed by 
MiniMax M1 40K at 76.1% and MiniMax M1 80K at 73.4%.
Progress Over Time
Interactive timeline showing model performance evolution on OpenAI-MRCR: 2 needle 128k
OpenAI-MRCR: 2 needle 128k Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | OpenAI | — | — | — | ||
| 2 |  MiniMax | 456B | — | — | ||
| 3 | MiniMax | 456B | — | — | ||
| 4 | OpenAI | — | 1.0M | $2.00 / $8.00 | ||
| 5 | OpenAI | — | 1.0M | $0.40 / $1.60 | ||
| 6 | OpenAI | — | — | — | ||
| 7 | OpenAI | — | 1.0M | $0.10 / $0.40 | ||
| 8 | OpenAI | — | 128K | $2.50 / $10.00 | ||
| 9 | OpenAI | — | — | — |
FAQ
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