# MRCR (256k-512k) — AI model rankings

Tests whether the AI can find specific details buried inside a very long document, here across inputs of roughly 256k to 512k tokens — several books' worth of text. Higher is better.

1 tracked model have a published MRCR (256k-512k) score. Higher is better. Scores are as published at each model's release.

## Ranking

| Rank | Model | Developer | Score | Source | Released |
| --- | --- | --- | --- | --- | --- |
| 1 | Muse Spark 1.3 | Meta | 98.5% | Lab | Sep 2 2026 |


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Canonical page: https://aireleasetracker.com/benchmark/mrcr-256k-512k
Full dataset: https://aireleasetracker.com/llms-full.txt · JSON: https://aireleasetracker.com/models.json
Source: AI Release Tracker (https://aireleasetracker.com). Benchmark scores are the figures published by the releasing lab at launch.