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Needle-in-a-Haystack Retrieval on RULER

100S-NIAH-1 (Pass-Key Retrieval)Full attention
-4235077Dec 29, 2025Jan 21, 2026Feb 14, 2026Mar 10, 2026Apr 3, 2026Apr 27, 2026May 21, 2026

Evaluation results

MethodLinks
Full attentionContext Length=8K, Model Size=3B, Training Context Length=128K2025.121009964——————
Full attentionContext Length=16K, Model Size=3B, Training Context Length=128K2025.1210010064——————
Full attentionContext Length=32K, Model Size=3B, Training Context Length=128K2025.1210010067——————
Full attentionContext Length=64K, Model Size=3B, Training Context Length=128K2025.1210010083——————
SWAContext Length=8K, Model Size=3B, Training Context Length=128K2025.1210010057——————
Hybrid SWA and fullContext Length=8K, Model Size=3B, Training Context Length=128K2025.1210010063——————
Gated DeltaNetContext Length=8K, Model Size=3B, Training Context Length=128K2025.1210010091——————
TTT-E2EContext Length=8K, Model Size=3B, Training Context Length=128K2025.121009977——————
RAT+dilation size (D)=1, context length (T)=4096, Training Mode=SFT2026.02100—10010010099.699.85100—
RAT+dilation size (D)=2, context length (T)=4096, Training Mode=SFT2026.02100—99.210099.29699.899.8—
RAT+dilation size (D)=4, context length (T)=4096, Training Mode=SFT2026.02100—97.899.897.488.899.7599.5—
RAT+dilation size (D)=8, context length (T)=4096, Training Mode=SFT2026.02100—9699.896.473.899.499.15—
RAT+dilation size (D)=16, context length (T)=4096, Training Mode=SFT2026.02100—89.299.695.254.699.398.15—
RAT+dilation size (D)=32, context length (T)=4096, Training Mode=SFT2026.02100—78.899.27840.497.3596.35—
RAT+dilation size (D)=64, context length (T)=4096, Training Mode=SFT2026.02100—7698.446.83097.3593.9—
Mamba-2Model Category=Recurrent models, Context Length=1K2026.0510099.659.229—————
Mamba-2Model Category=Recurrent models, Context Length=2K2026.0510099.638.621.2—————
Gated DeltaNetModel Category=Recurrent models, Context Length=2K2026.0510010054.237—————
Gated DeltaNetModel Category=Recurrent models, Context Length=4K2026.0510087.260.627.8—————
KDAModel Category=Recurrent models, Context Length=1K2026.0510010077.454—————
KDAModel Category=Recurrent models, Context Length=2K2026.0510010063.244.2—————
Mamba-3 (SISO)Model Category=Recurrent models, Context Length=1K2026.0510099.860.244.8—————
Mamba-3 (MIMO)Model Category=Recurrent models, Context Length=1K2026.0510099.889.249.4—————
Gated DeltaNet-2Model Category=Recurrent models, Context Length=1K2026.051001009272.6—————
Gated DeltaNet-2Model Category=Recurrent models, Context Length=2K2026.0510010089.851.4—————
Gated DeltaNet-2Model Category=Recurrent models, Context Length=4K2026.051009331.837.8—————
TransformerModel Category=Attention or hybrid models, Context Length=1K2026.0510010095.875.6—————
TransformerModel Category=Attention or hybrid models, Context Length=2K2026.0510010094.866.6—————
Mamba-2Model Category=Attention or hybrid models, Context Length=1K2026.0510010097.882—————
Mamba-2Model Category=Attention or hybrid models, Context Length=2K2026.0510099.686.858.6—————
Gated DeltaNetModel Category=Attention or hybrid models, Context Length=1K2026.0510010094.891—————
Gated DeltaNetModel Category=Attention or hybrid models, Context Length=2K2026.0510099.891.278.4—————
KDAModel Category=Attention or hybrid models, Context Length=1K2026.0510010097.291.4—————
KDAModel Category=Attention or hybrid models, Context Length=2K2026.0510010093.484—————
Mamba-3 (SISO)Model Category=Attention or hybrid models, Context Length=1K2026.051001009578.8—————
Mamba-3 (SISO)Model Category=Attention or hybrid models, Context Length=2K2026.0510010090.465.6—————
Mamba-3 (MIMO)Model Category=Attention or hybrid models, Context Length=1K2026.0510010099.482.4—————
Mamba-3 (MIMO)Model Category=Attention or hybrid models, Context Length=2K2026.0510010098.479—————
Gated DeltaNet-2Model Category=Attention or hybrid models, Context Length=1K2026.0510010099.693—————
Gated DeltaNet-2Model Category=Attention or hybrid models, Context Length=2K2026.051001009984.6—————
Gated DeltaNetModel Category=Recurrent models, Context Length=1K2026.0599.810089.858—————
Mamba-3 (MIMO)Model Category=Recurrent models, Context Length=2K2026.0599.898.872.419.2—————
KDAModel Category=Recurrent models, Context Length=4K2026.0599.28926.228—————
Full attentionContext Length=128K, Model Size=3B, Training Context Length=128K2025.12998664——————
Mamba 2Context Length=8K, Model Size=3B, Training Context Length=128K2025.12999977——————
Mamba-3 (SISO)Model Category=Recurrent models, Context Length=2K2026.05999935.627.4—————
TTT-KVBContext Length=8K, Model Size=3B, Training Context Length=128K2025.129810074——————
Gated DeltaNet-2Model Category=Recurrent models, Context Length=8K2026.0597.839.2———————
Gated DeltaNetModel Category=Recurrent models, Context Length=8K2026.0597.632———————
Mamba-2Model Category=Recurrent models, Context Length=4K2026.059762.614.421.4—————
Hybrid SWA and fullContext Length=16K, Model Size=3B, Training Context Length=128K2025.129310056——————
Mamba-3 (MIMO)Model Category=Recurrent models, Context Length=4K2026.059364.229.218—————
Hybrid SWA and fullContext Length=32K, Model Size=3B, Training Context Length=128K2025.12889932——————
KDAModel Category=Recurrent models, Context Length=8K2026.0570.630.6———————
Hybrid SWA and fullContext Length=64K, Model Size=3B, Training Context Length=128K2025.12698917——————
Mamba-3 (SISO)Model Category=Recurrent models, Context Length=4K2026.0563.459.412.220.2—————
Mamba-2Model Category=Recurrent models, Context Length=8K2026.0555.821———————
Gated DeltaNet-2Model Category=Attention or hybrid models, Context Length=4K2026.0555.257.955.648—————
Mamba-2Model Category=Attention or hybrid models, Context Length=4K2026.0551.852.44839—————
KDAModel Category=Attention or hybrid models, Context Length=4K2026.0551.85651.640.4—————
TransformerModel Category=Attention or hybrid models, Context Length=4K2026.0551.244.23738.2—————
SWAContext Length=16K, Model Size=3B, Training Context Length=128K2025.12504341——————
Gated DeltaNetContext Length=16K, Model Size=3B, Training Context Length=128K2025.12504345——————
Mamba-3 (SISO)Model Category=Attention or hybrid models, Context Length=4K2026.0549.658.24433.6—————
Mamba 2Context Length=16K, Model Size=3B, Training Context Length=128K2025.12494336——————
Mamba-3 (MIMO)Model Category=Attention or hybrid models, Context Length=4K2026.05495354.246.6—————
Gated DeltaNetModel Category=Attention or hybrid models, Context Length=4K2026.0547.257.347.244.8—————
TTT-E2EContext Length=16K, Model Size=3B, Training Context Length=128K2025.12464344——————
TTT-KVBContext Length=16K, Model Size=3B, Training Context Length=128K2025.12434334——————
Mamba-3 (MIMO)Model Category=Recurrent models, Context Length=8K2026.0535.627.2———————
Mamba-3 (SISO)Model Category=Recurrent models, Context Length=8K2026.0527.825.2———————
Gated DeltaNet-2Model Category=Attention or hybrid models, Context Length=8K2026.0527.429.2———————
KDAModel Category=Attention or hybrid models, Context Length=8K2026.0526.223———————
SWAContext Length=32K, Model Size=3B, Training Context Length=128K2025.12262824——————
Mamba 2Context Length=32K, Model Size=3B, Training Context Length=128K2025.12262824——————
Gated DeltaNetContext Length=32K, Model Size=3B, Training Context Length=128K2025.12262723——————
Mamba-3 (SISO)Model Category=Attention or hybrid models, Context Length=8K2026.052627.8———————
Mamba-2Model Category=Attention or hybrid models, Context Length=8K2026.0525.425.8———————
TTT-E2EContext Length=32K, Model Size=3B, Training Context Length=128K2025.12242824——————
Mamba-3 (MIMO)Model Category=Attention or hybrid models, Context Length=8K2026.0522.827.8———————
Gated DeltaNetModel Category=Attention or hybrid models, Context Length=8K2026.0522.425.6———————
TTT-KVBContext Length=32K, Model Size=3B, Training Context Length=128K2025.12222723——————
Hybrid SWA and fullContext Length=128K, Model Size=3B, Training Context Length=128K2025.1221296——————
SWAContext Length=64K, Model Size=3B, Training Context Length=128K2025.1213169——————
Mamba 2Context Length=64K, Model Size=3B, Training Context Length=128K2025.1213168——————
Gated DeltaNetContext Length=64K, Model Size=3B, Training Context Length=128K2025.1213167——————
TTT-E2EContext Length=64K, Model Size=3B, Training Context Length=128K2025.12131610——————
TTT-KVBContext Length=64K, Model Size=3B, Training Context Length=128K2025.1210166——————
SWAContext Length=128K, Model Size=3B, Training Context Length=128K2025.12755——————
Mamba 2Context Length=128K, Model Size=3B, Training Context Length=128K2025.12754——————
Gated DeltaNetContext Length=128K, Model Size=3B, Training Context Length=128K2025.12753——————
TTT-E2EContext Length=128K, Model Size=3B, Training Context Length=128K2025.12653——————
TTT-KVBContext Length=128K, Model Size=3B, Training Context Length=128K2025.12154——————
TransformerModel Category=Attention or hybrid models, Context Length=8K2026.0500———————