OpenAI-MRCR: 2 needle 1M
Multi-Round Co-reference Resolution benchmark that tests an LLM's ability to distinguish between multiple similar needles hidden in long conversations. Models must reproduce specific instances of content (e.g., 'Return the 2nd poem about tapirs') from multi-turn synthetic conversations, requiring reasoning about context, ordering, and subtle differences between similar outputs.
MiniMax M1 40K from MiniMax currently leads the OpenAI-MRCR: 2 needle 1M leaderboard with a score of 0.586 across 5 evaluated AI models.
MiniMax M1 40K leads with 58.6%, followed by MiniMax M1 80K at 56.2% and 
GPT-4.1 at 46.3%.
Progress Over Time
Interactive timeline showing model performance evolution on OpenAI-MRCR: 2 needle 1M
OpenAI-MRCR: 2 needle 1M Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  MiniMax | 456B | — | — | ||
| 2 | MiniMax | 456B | 1.0M | $0.55 / $2.20 | ||
| 3 | OpenAI | — | 1.0M | $2.00 / $8.00 | ||
| 4 | OpenAI | — | 1.0M | $0.40 / $1.60 | ||
| 5 | OpenAI | — | 1.0M | $0.10 / $0.40 |
FAQ
Common questions about OpenAI-MRCR: 2 needle 1M.
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