Which AI model scores highest on MRCR v2 (8-needle)?

Gemini 3.7 Flash by Google holds the best MRCR v2 (8-needle) (1M pointwise) result among tracked models, at 62.5% (released Aug 13 2026). Higher scores are better on this benchmark.

What are the top 4 models on MRCR v2 (8-needle)?

1. Gemini 3.7 Flash (Google) — 62.5%; 2. Gemini 3.5 Flash (Google) — 26.6%; 3. Gemini 3.1 Pro (Google) — 26.3%; 4. Gemini 3.0 Flash (Google) — 22.1%.

How many models have a published MRCR v2 (8-needle) score?

4 tracked models have a published MRCR v2 (8-needle) (1M pointwise) score. Scores are collected from published lab reports and benchmark sources, with recorded sources credited alongside the results. We do not re-run the evaluations.

Long context

MRCR v2 (8-needle)1M pointwise

Tests whether the AI can find specific details buried inside an enormous document (around 1 million tokens — many books). Higher is better.

128k average 1M pointwise

Rankings

Higher is better

MRCR v2 (8-needle) — frequently asked questions

: Tests whether the AI can find specific details buried inside an enormous document (around 1 million tokens — many books). Higher is better.
: Gemini 3.7 Flash by Google holds the best MRCR v2 (8-needle) (1M pointwise) result among tracked models, at 62.5% (released Aug 13 2026). Higher scores are better on this benchmark.
: 1. Gemini 3.7 Flash (Google) — 62.5%; 2. Gemini 3.5 Flash (Google) — 26.6%; 3. Gemini 3.1 Pro (Google) — 26.3%; 4. Gemini 3.0 Flash (Google) — 22.1%.
: 4 tracked models have a published MRCR v2 (8-needle) (1M pointwise) score. Scores are collected from published lab reports and benchmark sources, with recorded sources credited alongside the results. We do not re-run the evaluations.