OpenAI MRCR v2 8-needle 64K-128K leaderboard
1 ranked models · higher is better
View accessible chart data
| Model | Rank | Provider | Score |
|---|---|---|---|
| GPT-5.5 | #1 | OpenAI | 83.1% |
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Reasoning · Benchmark profile
MRCR v2 slice focused on long-context retrieval at 64K-128K lengths.
Data verified 21 Jul 2026 · Methodology 1.6.0
Visual analysis
Switch between model placement, score distribution and descriptive provider averages. Every view uses the same sourced leaderboard.
1 ranked models · higher is better
| Model | Rank | Provider | Score |
|---|---|---|---|
| GPT-5.5 | #1 | OpenAI | 83.1% |
One best score per model · higher is better
| Rank | Model | Provider | License | Evidence use | Score |
|---|---|---|---|---|---|
| #1 | GPT-5.5 gpt-5.5 | OpenAI | closed | Estimated reference | 83.1% |
About OpenAI MRCR v2 8-needle 64K-128K
MRCR v2 slice focused on long-context retrieval at 64K-128K lengths. Results stay tied to the exact model variant and evaluation system. Multiple systems for the same model use the best published score on this page; overall Lumina scoring uses the median of ranking-eligible rows.
Open benchmark source ↗FAQ
MRCR v2 slice focused on long-context retrieval at 64K-128K lengths.
GPT-5.5 by OpenAI currently leads with 83.1%.
1 model in the LuminaBench cohort have a qualifying score on this benchmark.
No. This benchmark is display-only and does not enter the overall Lumina composite.
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