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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)

ModelScore
Claude Opus 597.5
GPT-5.6 Sol97.1
Qwen3.8-Max96.1
Gemini 3.7 Flash93.9
Qwen3.8 27B92.8
GPT-5.591.7
GPT-5.6 Terra89.4
Opus 4.887.8
GLM-5.385.9
Qwen3.6-Max-Preview85.1
Gemini 3.6 Flash84.2
DeepSeek V4 Pro 081381.1
Opus 4.681.0
GPT-5.480.6
Sonnet 4.680.0
Gemini 3.1 Pro Preview77.4
Qwen3.6 35B A3B75.6
GLM-5.3 Flash75.3
GPT-5.6 Luna74.8
Muse Spark 1.274.6
Qwen3.6 27B74.5
Grok 4.674.4
Qwen3.7 Flash74.2
Sonnet 571.6
Qwen3.6 Plus (2026-04-02)70.9
DeepSeek-V4-Flash-073170.4
Gemini 3.5 Flash68.7
DeepSeek-V4-Pro68.2
Qwen3.5 397B A17B67.3
Ling 3.0 Flash66.9
Muse Spark 1.166.8
GLM-5.265.4
Ring 2.6 1T64.7
Qwen3.5 Plus (2026-02-15)64.4
Gemini 3.5 Flash-Lite64.4
Kimi K364.0
DeepSeek-V4-Flash62.5
Gemini 3 Flash Preview60.7
Qwen3.5-27B60.4
Nex-N2-mini60.3
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