Long Context · source: llm-stats.com
MRCR v2
Multi-round coreference resolution over needle-in-haystack long contexts.
9
Models Tested
GPT-6 Astra
Top Model
93%
Top Score
OpenAI
Provider
| # | Model | MRCR v2 |
|---|---|---|
| 1 | GPT-6 Astra OpenAI | 93% |
| 2 | GPT-5.6 Sol OpenAI | 91.5% |
| 3 | GPT-5.6 Terra OpenAI | 89.6% |
| 4 | Claude Opus 4.6 Anthropic | 76% |
| 5 | GPT-5.5 OpenAI | 74% |
| 6 | GPT-5.6 Luna OpenAI | 41.3% |
| 7 | Gemini 3.1 Pro Google | 26.3% |
| 8 | Gemini 3 Pro Google | 26.3% |
| 9 | Gemini 3 Flash Google | 22.1% |
Benchmark data aggregated from llm-stats.com. See Methodology for details.