HELM Long Context - OpenAI MRCR: leaderboard
HELM Long Context run of OpenAI MRCR, multi-round coreference retrieval across very long contexts.
Metric: MRCR Accuracy. Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 11 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.0 Flash | 21.6 | #342 |
| 2 | Llama 4 Maverick Instruct FP8 | 21.49 | #414 |
| 3 | GPT-4.1 (2025-04-14) | 21.45 | #250 |
| 4 | GPT-4.1 Mini | 20.79 | #355 |
| 5 | Gemini 2.0 Flash Lite | 17.91 | #450 |
| 6 | Llama 4 Scout Instruct | 17.12 | #539 |
| 7 | GPT-4.1 Nano | 17.04 | #731 |
| 8 | Nova Premier | 16.14 | #437 |
| 9 | Nova Lite | 11.09 | #754 |
| 10 | Nova Pro | 9.89 | #569 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=helm-long-context-openai-mrcr · How It Works · Data refreshed daily, snapshot 2026-10-20.