MRCR v2 (8-needle): leaderboard
Eight-needle variant of MRCR v2, increasing long-context retrieval difficulty by requiring models to track multiple similar items at once.
Metric: Score (%). Source: github.com. Source: llm-stats.com. 25 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Muse Spark 1.3 | 98.5 | #24 |
| 2 | Gemini 3.7 Flash | 97 | #23 |
| 3 | Qwen 3.8 Max | 92.9 | #35 |
| 4 | GPT-5.6 Sol | 91.5 | #19 |
| 5 | GPT-5.6 Terra | 89.6 | #41 |
| 6 | Claude Opus 4.6 | 76 | #63 |
| 7 | GPT-5.5 | 74 | #31 |
| 8 | Gemma 4 31B | 66.4 | #200 |
| 9 | Gemini 3.1 Flash Lite | 60.1 | #191 |
| 10 | Gemini 3.6 Flash | 54 | #51 |
| 11 | Seed 2.0 Mini | 51.4 | #276 |
| 12 | Gemma 4 26B A4B | 44.1 | #358 |
| 13 | Gemma 4 12B | 43.4 | #535 |
| 14 | GPT-5.6 Luna | 41.3 | #68 |
| 15 | GPT-5.4 Mini | 33.6 | #212 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=mrcr-v2-8-needle · How It Works · Data refreshed daily, snapshot 2026-10-20.