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Long-context language modeling on LongBench (test)

50.87Qasper ScoreFull-context
7.470818.737930.00541.2721Jun 9, 2025Aug 12, 2025Oct 15, 2025Dec 18, 2025Feb 20, 2026Apr 25, 2026Jun 28, 2026

Evaluation results

MethodLinks
Full-contextPrefill=100%, KV=100%2026.0450.8730.2131.8979.8292.7453.1569.8775.43—58.43——38.6538.7617.5610055.8234.2167.5453.92—
SnapKVPrefill=100%, KV=20%2026.0450.2329.3430.5678.4592.1252.4568.9866.54—56.78——36.2337.9816.1299.554.0533.1263.5652.89—
StructKVPrefill=60%, KV=20%2026.0450.1530.1231.3479.4392.6653.0168.7274.56—57.67——37.4238.5616.6710055.1934.1264.8953.67—
FastKVPrefill=60%, KV=20%2026.0450.1229.6730.7878.8992.1252.3468.4573.12—57.23——36.4538.3415.9899.554.4933.5663.2352.12—
StreamingLLMPrefill=100%, KV=20%2026.0449.8728.4530.2378.1292.1551.6767.9866.87—55.43——33.5637.9814.3290.552.5732.5659.1252.34—
FastKVPrefill=60%, KV=10%2026.0449.8528.9230.1577.4591.5651.8967.8972.12—56.78——35.6737.8915.4399.553.8833.1262.4551.34—
SnapKVPrefill=100%, KV=10%2026.0449.7628.6530.2377.2391.5652.1268.1265.67—55.98——35.1237.5615.3499.553.4632.8763.1252.45—
StructKVPrefill=60%, KV=10%2026.0449.6529.8731.2379.1292.4552.7868.5673.34—56.34——36.7838.3415.8310054.6233.1564.2152.24—
StreamingLLMPrefill=100%, KV=10%2026.0449.1227.8929.5677.3491.5650.8966.7865.43—54.37——32.1837.1513.4590.551.6230.8457.6551.23—
GemFilterPrefill=70%, KV=20%2026.0449.1227.8729.3477.4591.8948.7866.1255.67—51.23——34.8736.9812.1296.551.0129.8957.1251.23—
GemFilterPrefill=60%, KV=10%2026.0448.3427.1228.7876.2391.4548.1265.3453.23—49.87——33.4536.2310.8794.549.9429.1256.2350.12—
Full CacheCache Budget (B)=Full, Model=Llama-3.1-8B-Instruct2026.0645.3725.3827.272.591.6443.5762.8856.43—55.8——31.26—9.4199.549.230.2255.974535.12
K-VECCache Budget (B)=1024, Model=Llama-3.1-8B-Instruct2026.0645.0324.9926.0471.4991.7242.6962.9956.55—56.64——31.39—8.4599.548.9230.0458.248.0928.98
Ada-PyramidCache Budget (B)=1024, Model=Llama-3.1-8B-Instruct2026.0644.5725.2625.8470.591.6242.3762.9656.52—53.73——31.97—7.6799.54828.7654.8944.1527.75
Ada-SnapKVCache Budget (B)=1024, Model=Llama-3.1-8B-Instruct2026.0644.0924.7326.0472.591.7242.5663.2256.33—53.82——31.4—7.8299.548.1629.2354.844.0128.86
PyramidCache Budget (B)=1024, Model=Llama-3.1-8B-Instruct2026.0643.6624.325.6868.591.2741.9663.1355.85—54.1——31.3—7.7399.547.729.6255.0644.2227.27
SnapKVCache Budget (B)=1024, Model=Llama-3.1-8B-Instruct2026.0643.6424.3925.956991.7242.562.9956.45—54.34——31.52—7.899.547.8429.2854.2444.3427.8
K-VECCache Budget (B)=512, Model=Llama-3.1-8B-Instruct2026.0642.8124.8624.9267.4791.6242.6762.955.68—56.07——31.39—8.4599.548.1230.0457.947.3926.24
PyramidInferPrefill=60%, KV=60%2026.0442.7625.9823.8973.2390.5649.8766.2365.78—46.54——28.2331.879.1288.548.0629.8749.1247.34—
FullBackbone=Mistral-7B-Instruct, KV size=2562026.0341.5425.7127.737688.5947.5161.4862.6829.0752.8849.3739.0128.5835.07698.548.11————
MixedDimKVBackbone=Mistral-7B-Instruct, KV size=2562026.0341.525.3327.597588.7547.8161.4462.329.6253.0548.4938.728.1630.6769847.65————
Ada-PyramidCache Budget (B)=512, Model=Llama-3.1-8B-Instruct2026.0640.6324.1224.616991.7942.5562.2854.49—53.03——30.26—7.9599.546.9828.0454.7143.3925.35
K-VECCache Budget (B)=256, Model=Llama-3.1-8B-Instruct2026.0640.3823.9422.9562.7491.8941.9560.8754.9—53.53——31.24—8.0599.546.726.3357.3947.1424.35
Ada-SnapKVCache Budget (B)=512, Model=Llama-3.1-8B-Instruct2026.0640.1624.3924.856992.3442.0563.4355.32—52.44——31.1—7.9899.547.1529.0753.943.0525.75
SnapKVCache Budget (B)=512, Model=Llama-3.1-8B-Instruct2026.0640.0123.7724.196492.0541.5763.2155.05—53.15——31.32—8.0199.546.7629.2254.4743.6325.04
PyramidCache Budget (B)=512, Model=Llama-3.1-8B-Instruct2026.0639.8923.7324.286691.0741.4261.9953.44—52.86——31.22—8.3999.546.5928.715444.224.74
K-VECCache Budget (B)=128, Model=Llama-3.1-8B-Instruct2026.0635.9623.4721.8852.8990.3541.2559.3551.25—50.4——28.75—7.8599.544.5725.9654.7947.1422.35
Ada-PyramidCache Budget (B)=256, Model=Llama-3.1-8B-Instruct2026.0635.0623.3622.676390.7241.2161.4753.09—52.28——28.76—7.7599.545.2325.1254.6641.8923.14
H2OBackbone=Mistral-7B-Instruct, KV size=2562026.0334.2421.6125.8972.587.6940.9653.9447.7625.9342.3446.2233.6522.826.96.58842.31————
Ada-SnapKVCache Budget (B)=256, Model=Llama-3.1-8B-Instruct2026.0633.3923.8522.8863.591.5740.9461.9554.33—51.44——29.54—899.545.4426.1154.9442.1523.01
PyramidBackbone=Mistral-7B-Instruct, KV size=2562026.0333.3623.223.2572.589.5645.1456.955.6227.652.2348.4838.1127.123.645.59644.89————
SnapKVBackbone=Mistral-7B-Instruct, KV size=2562026.0333.1823.1223.217388.7944.8858.0558.1227.7251.5947.5837.627.7323.9859644.97————
PyramidCache Budget (B)=256, Model=Llama-3.1-8B-Instruct2026.0633.1523.3722.3356.591.1941.2860.3651.18—51.44——28.62—6.9799.544.4725.5355.0342.4222.57
SnapKVCache Budget (B)=256, Model=Llama-3.1-8B-Instruct2026.0632.4923.5422.5553.591.140.9560.6753.39—51.62——28.94—7.4899.544.4826.0254.442.7722.83
FullBackbone=Llama-3-8B-Instruct, KV size=2562026.0332.323.2226.677490.4842.2959.1354.0225.5639.7143.5635.4921.1428.584.869.7541.92————
MixedDimKVBackbone=Llama-3-8B-Instruct, KV size=2562026.0331.3922.9526.547390.6142.459.1154.8425.2639.643.8235.4621.5927.075.0269.541.76————
SLMCache Budget (B)=1024, Model=Llama-3.1-8B-Instruct2026.0630.2221.0825.7263.588.8742.2861.353.4—37.06——25.24—6.988942.5824.9746.5739.1426.01
SLMCache Budget (B)=512, Model=Llama-3.1-8B-Instruct2026.0625.7821.2623.5757.587.8641.4460.8551.02—34.19——24.93—6.9896.541.3725.5145.0135.9123.61
Ada-PyramidCache Budget (B)=128, Model=Llama-3.1-8B-Instruct2026.0625.6123.1820.3851.590.7640.6259.350.88—49.3——27.83—6.929942.9627.0753.0241.2920.7
PyramidCache Budget (B)=128, Model=Llama-3.1-8B-Instruct2026.0624.6922.3819.7444.588.8140.357.2549.9—47.74——27.23—7.2299.541.7825.752.8740.5720.02
SnapKVCache Budget (B)=128, Model=Llama-3.1-8B-Instruct2026.0624.4522.3619.5545.589.240.6258.4549.9—48.03——28.19—6.9799.542.0325.5453.3140.7520.13
Ada-SnapKVCache Budget (B)=128, Model=Llama-3.1-8B-Instruct2026.0624.4123.2120.2850.589.4940.7158.7452.4—49.95——28.55—7.459942.8124.953.1541.7320.54
SLMCache Budget (B)=256, Model=Llama-3.1-8B-Instruct2026.0623.7920.6820.674687.1140.8259.8949.19—31.8——25.55—7.299.539.7622.7143.4336.5521.29
H2OPrefill=100%, KV=20%2026.0422.1226.8929.8774.8793.1249.6566.2362.45—35.23——20.8736.5611.8985.543.5628.9826.5426.12—
SLMCache Budget (B)=128, Model=Llama-3.1-8B-Instruct2026.0620.8721.0918.4840.584.4138.8257.0247.29—31.72——24.54—899.538.4322.2444.0237.5518.76
PyramidBackbone=Llama-3-8B-Instruct, KV size=2562026.0320.5122.6822.837190.4839.8658.6454.0623.9936.0642.4731.3420.2821.365.8369.2539.42————
SnapKVBackbone=Llama-3-8B-Instruct, KV size=2562026.0320.22222.837190.8640.0360.1655.9123.3637.3642.3733.1819.9621.765.8369.539.77————
H2OPrefill=100%, KV=10%2026.0419.3427.4530.6574.2392.6548.9864.1261.23—32.67——16.4336.8711.2382.54227.5623.4522.56—
H2OBackbone=Llama-3-8B-Instruct, KV size=2562026.0318.5621.4824.5760.588.738.5558.5252.7323.0929.0236.0128.0715.723.315.3768.0437.01————
MoQAE2025.069.7921.233.476687.8941.3766.5359.94—————————————
CQ-4c8bchannels per group=4, quantization bits=82025.069.5820.871.936687.7241.1366.5759.75—————————————
FP16precision=full precision (FP16)2025.069.5221.283.516687.7241.6966.6659.82—————————————
KIVI-2bquantization bits=2-bit2025.069.2620.530.976687.4242.6166.2259.67—————————————
MiKVquantization_type=mixed-precision2025.069.1420.630.8565.8887.2141.4466.1859.55—————————————