KV Cache Study Native NIAH - 2K: leaderboard

KV Cache Study Native NIAH - 2K: Answer-prefix accuracy over 192 queries (%). KV cache updates arXiv 2611.14051v1: native Source and Target use each checkpoint for both prefix and continuation; cross-cache Reuse/Mapper are not native model observations. Six NIAH prefix lengths each have eight histories x24 queries=192. Native unmodified GLM-5.2/5.3, DeepSeek V4.1 Flash/1017, DeepSeek V4 Flash/0731 and Qwen3-30B-A3B/Instruct-2507 remain distinct checkpoints. Free generation greedy. Table 8 is the separate 585-example BABILong/QA cohort. No base/instruct merge and no reuse accuracy attributed to native model.

Metric: Answer-prefix accuracy over 192 queries (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 8 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek V4.1 Flash100#58
2DeepSeek V4.1 Flash (1017)100#38
3GLM-5.399.48#62
4DeepSeek V4 Flash98.96#254
5GLM-5.296.88#137
6DeepSeek V4 Flash (0731)92.19#136
7Qwen 3 30B A3B 2507 Instruct76.04#1078
8Qwen 3 30B A3B0#1124

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=kv-cache-study-native-niah-2k · How It Works · Data refreshed daily, snapshot 2026-11-12.