MRCR v2 (8-needle, Context Arena) - 128K AUC
General QA
Context Arena's own runs of Google DeepMind's open-sourced MRCR v2 8-needle task, scored by MRCR string similarity and summarized as the area under the score-versus-context curve from 8K to 128K tokens: trapezoids on a linear token axis over its 8K, 16K, 32K, 64K and 128K bins, 484 tests in all. Google's model cards quote this value as the 128K cumulative score for non-Gemini models, but these evaluator runs use Context Arena's own bins and reasoning settings, so they form a factor group apart from vendor-reported MRCR v2.
Top models (higher is better)
| Model | Score |
|---|---|
| Claude Opus 5 | 97.5 |
| GPT-5.6 Sol | 97.1 |
| Qwen3.8-Max | 96.1 |
| Gemini 3.7 Flash | 93.9 |
| Qwen3.8 27B | 92.8 |
| GPT-5.5 | 91.7 |
| GPT-5.6 Terra | 89.4 |
| Opus 4.8 | 87.8 |
| GLM-5.3 | 85.9 |
| Qwen3.6-Max-Preview | 85.1 |
| Gemini 3.6 Flash | 84.2 |
| DeepSeek V4 Pro 0813 | 81.1 |
| Opus 4.6 | 81.0 |
| GPT-5.4 | 80.6 |
| Sonnet 4.6 | 80.0 |
| Gemini 3.1 Pro Preview | 77.4 |
| Qwen3.6 35B A3B | 75.6 |
| GLM-5.3 Flash | 75.3 |
| GPT-5.6 Luna | 74.8 |
| Muse Spark 1.2 | 74.6 |
| Qwen3.6 27B | 74.5 |
| Grok 4.6 | 74.4 |
| Qwen3.7 Flash | 74.2 |
| Sonnet 5 | 71.6 |
| Qwen3.6 Plus (2026-04-02) | 70.9 |
| DeepSeek-V4-Flash-0731 | 70.4 |
| Gemini 3.5 Flash | 68.7 |
| DeepSeek-V4-Pro | 68.2 |
| Qwen3.5 397B A17B | 67.3 |
| Ling 3.0 Flash | 66.9 |
| Muse Spark 1.1 | 66.8 |
| GLM-5.2 | 65.4 |
| Ring 2.6 1T | 64.7 |
| Qwen3.5 Plus (2026-02-15) | 64.4 |
| Gemini 3.5 Flash-Lite | 64.4 |
| Kimi K3 | 64.0 |
| DeepSeek-V4-Flash | 62.5 |
| Gemini 3 Flash Preview | 60.7 |
| Qwen3.5-27B | 60.4 |
| Nex-N2-mini | 60.3 |