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Long-context understanding on LongBench (Comprehensive Metric Set)

48.37Average ScoreLlama3.1-8B
5.67816.761527.84538.9285Feb 6, 2025Apr 28, 2025Jul 18, 2025Oct 8, 2025Dec 28, 2025Mar 19, 2026Jun 9, 2026

Evaluation results

MethodLinks
Llama3.1-8BBackbone=Llama3.1-8B, KV cache usage=100.002025.0948.3740.8851.7258.4752.6835.842.5230.6424.4447.192.83730.53968.5667.48—
DuoAttentionBackbone=Llama-3.1-8B, Cache Budget=40%2025.0248.17————————————————
AdaKV w/ oursBackbone=Llama-3.1-8B, Cache Budget=40%2025.0248————————————————
Qwen2.5-7BBackbone=Qwen2.5-7B, KV cache usage=100.002025.0947.9133.7651.457.1756.7629.438.0931.5724.446.7392.572266.562.8653.53—
HeadKV w/ oursBackbone=Llama-3.1-8B, Cache Budget=40%2025.0247.79————————————————
ChunkLLMBackbone=Qwen2.5-7B, KV cache usage=52.102025.0947.6731.0950.5256.9555.6129.4138.2731.2523.1646.5392.572.536862.7253.5—
ChunkLLMBackbone=Llama3.1-8B, KV cache usage=53.852025.0947.6239.1449.9353.4552.2934.442.9831.0523.8947.293.0872.50.538.568.3166.99—
SnapKVBackbone=Llama3.1-8B, KV cache usage=53.752025.0947.3240.1751.1655.7352.8335.5242.7828.2124.3145.692.88720.532.6668.6466.86—
SnapKVBackbone=Qwen2.5-7B, KV cache usage=51.622025.0947.2131.6850.5656.2656.1128.1937.6428.9524.5146.4492.5721.56662.3653.47—
StrmLLMBackbone=Llama3.1-8B, KV cache usage=68.682025.0946.835.9450.9654.1350.5430.9541.8327.523.0646.2392.83730.53968.4367—
AdaKV w/ oursBackbone=Mistral-7B, Cache Budget=40%2025.0246.23————————————————
StrmLLMBackbone=Qwen2.5-7B, KV cache usage=67.752025.0946.1628.8850.3750.4751.624.5537.7630.3622.2746.8491.5722.567.562.6853.07—
HeadKV w/ oursBackbone=Mistral-7B, Cache Budget=40%2025.0246.1————————————————
SepLLMBackbone=Llama3.1-8B, KV cache usage=53.082025.0945.9536.2351.1651.8147.727.8340.8527.1221.8446.8992.83720.537.568.566.54—
SepLLMBackbone=Qwen2.5-7B, KV cache usage=51.852025.0945.1426.4350.1850.2947.2522.8336.3428.3121.1446.7191.571.51.565.562.8852.84—
PyramidKVBackbone=Llama-3.1-8B, Cache Budget=40%2025.0244.2————————————————
HeadKV w/ oursBackbone=Llama-3.1-8B, Cache Budget=20%2025.0243.99————————————————
AdaKV w/ oursBackbone=Llama-3.1-8B, Cache Budget=20%2025.0243.77————————————————
DuoAttentionBackbone=Mistral-7B, Cache Budget=40%2025.0243.74————————————————
HeadKV w/ oursBackbone=Mistral-7B, Cache Budget=20%2025.0243.46————————————————
PyramidKVBackbone=Mistral-7B, Cache Budget=40%2025.0243.3————————————————
AdaKV w/ oursBackbone=Mistral-7B, Cache Budget=20%2025.0242.85————————————————
PyramidKVBackbone=Llama-3.1-8B, Cache Budget=20%2025.0240.22————————————————
PyramidKVBackbone=Mistral-7B, Cache Budget=20%2025.0239.77————————————————
DuoAttentionBackbone=Llama-3.1-8B, Cache Budget=20%2025.0239.52————————————————
PREFILLING-DLLMBase Model=UltraLLaDA, Sparsity=inter + intra-sparsity, Attention Token Budget (B)=5122026.0637.0217.0724.7136.0721.5714.317.875.2118.1234.4392.577.52.596.9166.9258.28.46
Sparse-dLLMBase Model=UltraLLaDA, Attention Token Budget (B)=5122026.0636.6821.323.1635.4319.0815.3919.275.3517.5135.3791.4377.50.7397.5866.8952.578.26
dKV-CacheBase Model=UltraLLaDA2026.0636.2917.8622.3632.9917.8914.2518.395.4117.1836.390.5380.51.4894.8867.9654.618.04
VanillaBase Model=UltraLLaDA, Context Window=128K2026.063617.0422.7133.215.9812.216.715.3817.337.190.5379.51.4896.0867.7754.978
Fast-dLLMBase Model=UltraLLaDA2026.0635.9822.0321.5837.3117.3111.0416.975.317.7133.1890.5379.51.3694.4766.0853.18.2
PREFILLING-DLLMBase Model=UltraLLaDA, Sparsity=inter-sparsity, Attention Token Budget (B)=5122026.0635.6412.2722.439.9422.219.6423.485.3317.8534.3388.16672.3890.9165.162.678.48
PREFILLING-DLLMBase Model=Dream-v0-Base-7B, Sparsity=inter + intra-sparsity, Attention Token Budget (B)=5122026.0634.5919.926.7246.436.2219.9622.15.5817.5232.9692.1164.51.5476.0225.957.988.02
Fast-dLLM v2Base Model=Dream-v0-Base-7B2026.0631.6627.533.2549.764622.935.924.2817.5331.3878.2843.5488.510.417.126.2
DuoAttentionBackbone=Mistral-7B, Cache Budget=20%2025.0231.13————————————————
VanillaBase Model=Dream-v0-Base-7B, Context Window=2K2026.0628.620.2719.3340.529.3815.0620.075.2217.7633.7781.87600.516.546.9541.998.42
PREFILLING-DLLMBase Model=Dream-v0-Base-7B, Sparsity=inter-sparsity, Attention Token Budget (B)=5122026.0622.0112.1418.2838.2615.329.7516.135.417.7429.2470.6846013.7521.4930.237.7
Fast-dLLMBase Model=Dream-v0-Base-7B2026.0620.389.718.0336.2811.327.0711.945.2413.3231.0970.61460.273.524.6229.237.88
YaRNBase Model=Dream-v0-Base-7B, Context Window=128K2026.0617.927.0816.3332.379.36.8910.755.2514.882955.04260.687.426.2831.448.09
Sparse-dLLMBase Model=Dream-v0-Base-7B, Attention Token Budget (B)=5122026.068.543.199.4520.257.044.996.115.275.9213.0410.9600.232.6217.0122.468.13
dKV-CacheBase Model=Dream-v0-Base-7B2026.067.323.576.618.337.024.446.345.326.077.717.1700.471.614.7419.927.84