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Speculative Decoding on SpecBench

900.7AVG SRMicroSpec
-34.8944208.0003450.895693.7897Mar 9, 2026Mar 19, 2026Mar 30, 2026Apr 9, 2026Apr 20, 2026Apr 30, 2026May 11, 2026

Evaluation results

MethodLinks
MicroSpecModel=Llama-3.2-1B-Instruct2026.04900.7————928.5———————796.2———822—830.4————3.11————850.61,008.21,069.3
DynaSpecModel=Llama-3.2-1B-Instruct2026.04799.2————951.9———————667.7———717—721.2—————————763.9865.7907
FR-SpecModel=Llama-3.2-1B-Instruct2026.04778.8————835.9———————672.8———718.5—715.2————2.7————751.2844.7913.5
CORALModel=Llama-3.2-1B-Instruct2026.04749.4————843.7———————644.8———683—693.1—————————696.4823.9861.1
EAGLEModel=Llama-3.2-1B-Instruct2026.04700.9————753.4———————608.3———644.4—653.8————3.16————657777.3812.3
ARModel=Llama-3.2-1B-Instruct2026.04665.8————671.3———————661.7———672.2—624.7————1————675.6677.2677.9
MicroSpecModel=Llama-3-8B-Instruct2026.04392.7————381.1———————385.1———361.3—352.1————3.59————349.5440.2480
DynaSpecModel=Llama-3-8B-Instruct2026.04378.1————382.9———————353.3———350.2—333————3.78————344.2429.7453.2
FR-SpecModel=Llama-3-8B-Instruct2026.04369.7————336.3———————356———351—330.2————3.62————338.4419.3456.5
CORALModel=Llama-3-8B-Instruct2026.04359.9————371.8———————333.9———335.4—318.2————3.92————329.9403427.4
EAGLEModel=Llama-3-8B-Instruct2026.04336.9————332———————315———316.4—300.2————3.8————311.2380.2403.2
ARModel=Llama-3-8B-Instruct2026.04172.6————162.3———————174.3———174.2—165————1————175.7178.5178.2
CATS w/ EAGLEDecoding Strategy=Relaxed (temperature = 0.7), Decoding Structure=tree base, Backbone=Vicuna-7B, Drafting steps=5, top-K=102026.054.18———————————————————————4.1802———————
CATSDecoding Strategy=Relaxed (temperature = 0.7), Decoding Structure=chain base, Backbone=Vicuna-7B, Drafting steps=52026.053.6———————————————————————3.4791———————
CATS w/ EAGLEDecoding Strategy=Greedy, Decoding Structure=tree base, Backbone=Vicuna-7B, Drafting steps=5, top-K=102026.053.51———————————————————————3.5097———————
CATSDecoding Strategy=Greedy, Decoding Structure=chain base, Backbone=Vicuna-7B, Drafting steps=52026.052.99———————————————————————2.8816———————
ConFuTarget Model=Llama3.1-8B-Instruct, Nodes=60, Temperature (T)=0.02026.032.735.312.794.922.596.183.325.342.735.723.095.452.954.242.235.152.734.912.535.372.65.893.115.25————————
ConFuTarget Model=Llama3.1-8B-Instruct, Nodes=30, Temperature (T)=0.02026.032.695.032.744.642.563.325.192.755.473.035.182.894.072.24.872.664.632.465.192.65.653.085.01————————
Eagle3Target Model=Llama3.1-8B-Instruct, Nodes=60, Temperature (T)=0.02026.032.614.742.594.52.435.913.275.042.655.292.944.922.753.962.144.582.54.692.485.032.525.492.994.87————————
EAGLE-selfDecoding Strategy=Relaxed (temperature = 0.7), Decoding Structure=tree base, Backbone=Vicuna-7B, Drafting steps=5, top-K=102026.052.53———————————————————————3.3494———————
MedusaDecoding Strategy=Relaxed (temperature = 0.7), Decoding Structure=chain base, Backbone=Vicuna-7B, Number of heads=22026.052.5———————————————————————2.4884———————
ConFuTarget Model=Llama3.1-8B-Instruct, Nodes=60, Temperature (T)=0.72026.032.485.162.624.652.375.93.045.132.535.352.755.112.654.052.034.852.464.492.245.072.385.612.834.96————————
ConFuTarget Model=Llama3.1-8B-Instruct, Nodes=30, Temperature (T)=0.72026.032.444.572.424.332.255.743.075.072.594.992.674.772.573.992.084.532.394.162.154.842.365.342.814.7————————
Eagle3Target Model=Llama3.1-8B-Instruct, Nodes=30, Temperature (T)=0.02026.032.364.392.434.262.315.653.154.892.595.022.84.62.593.762.044.282.354.352.324.781.595.162.824.59————————
Eagle3Target Model=Llama3.1-8B-Instruct, Nodes=60, Temperature (T)=0.72026.032.344.462.314.232.195.512.94.912.454.812.524.672.463.781.944.332.244.332.214.792.285.262.74.61————————
MedusaDecoding Strategy=Greedy, Decoding Structure=chain base, Backbone=Vicuna-7B, Number of heads=22026.052.32———————————————————————2.3116———————
Eagle3Target Model=Llama3.1-8B-Instruct, Nodes=30, Temperature (T)=0.72026.032.314.092.233.912.145.362.954.722.484.452.454.272.343.641.964.032.193.992.124.492.274.882.634.31————————
LookaheadDecoding Strategy=Greedy, Decoding Structure=chain base, Backbone=Vicuna-7B2026.052.29———————————————————————2.2785———————
ConFuTarget Model=Llama3.1-8B-Instruct, Nodes=60, Temperature (T)=1.02026.032.184.482.2642.025.342.734.852.364.182.144.012.053.791.894.342.193.771.884.42.095.042.544.37————————
EAGLE-selfDecoding Strategy=Greedy, Decoding Structure=tree base, Backbone=Vicuna-7B, Drafting steps=5, top-K=102026.052.18———————————————————————2.8943———————
ConFuTarget Model=Llama3.1-8B-Instruct, Nodes=30, Temperature (T)=1.02026.032.154.182.163.691.965.052.714.542.313.912.113.651.973.61.884.092.173.461.814.322.134.712.494.11————————
KangarooDecoding Strategy=Relaxed (temperature = 0.7), Decoding Structure=chain base, Backbone=Vicuna-7B, Drafting steps=52026.052.13———————————————————————2.7777———————
Eagle3Target Model=Llama3.1-8B-Instruct, Nodes=60, Temperature (T)=1.02026.032.093.872.033.491.824.682.484.412.242.123.61.923.571.833.972.073.751.914.132.014.732.464.07————————
EAGLE-selfDecoding Strategy=Relaxed (temperature = 0.7), Decoding Structure=chain base, Backbone=Vicuna-7B, Drafting steps=52026.052.08———————————————————————2.7487———————
Eagle3Target Model=Llama3.1-8B-Instruct, Nodes=30, Temperature (T)=1.02026.032.043.351.813.341.84.842.634.422.294.012.193.021.653.31.753.641.953.571.883.961.994.482.413.85————————
JoyAI-LLM FlashGPU=1, MTP layers=3, Concurrency=642026.041.87———————————————————————2.240.35664,241————
GLM-5GPU=8, MTP layers=3, Concurrency=642026.041.82———————————————————————3.0375.84311,969————
DeepSeek-V3.2GPU=8, MTP layers=3, Concurrency=642026.041.79———————————————————————2.5563.72311,958————
KangarooDecoding Strategy=Greedy, Decoding Structure=chain base, Backbone=Vicuna-7B, Drafting steps=52026.051.75———————————————————————2.2736———————
EAGLE-selfDecoding Strategy=Greedy, Decoding Structure=chain base, Backbone=Vicuna-7B, Drafting steps=52026.051.74———————————————————————2.2995———————
RESTDecoding Strategy=Greedy, Decoding Structure=chain base, Backbone=Vicuna-7B2026.051.66———————————————————————1.6243———————
RESTDecoding Strategy=Relaxed (temperature = 0.7), Decoding Structure=chain base, Backbone=Vicuna-7B2026.051.66———————————————————————1.6236———————
Qwen3.5-35B-A3BGPU=1, MTP layers=3, Concurrency=642026.041.61———————————————————————3.1872.56855,428————
MiMo-V2-FlashGPU=4, MTP layers=3, Concurrency=642026.041.61———————————————————————2.6967.22473,033————
Step-3.5-FlashGPU=4, MTP layers=3, Concurrency=642026.041.39———————————————————————2.2155.23483,048————
DeepSeek-V3GPU=8, MTP layers=3, Concurrency=642026.041.21———————————————————————2.7156.86251,608————
GLM-4.7-FlashGPU=1, MTP layers=3, Concurrency=642026.041.09———————————————————————2.1136.84261,695————
EXP3Model=Llama-3.1, Strategy=EXP32025.10———————————————————————————52.194.04———
EXP3Model=Qwen-3-8B, Strategy=EXP32025.10———————————————————————————41.023.58———
EXP3Model=Qwen-3-32B, Strategy=EXP32025.10———————————————————————————24.863.43———
HedgeSpecModel=Llama-3.1, Strategy=Hedge2025.10———————————————————————————60.85.31———
HedgeSpecModel=Qwen-3-8B, Strategy=Hedge2025.10———————————————————————————50.74.7———
HedgeSpecModel=Qwen-3-32B, Strategy=Hedge2025.10———————————————————————————27.733.97———
UCBModel=Llama-3.1, Strategy=UCB2025.10———————————————————————————52.684.05———
UCBModel=Qwen-3-8B, Strategy=UCB2025.10———————————————————————————41.233.65———
UCBModel=Qwen-3-32B, Strategy=UCB2025.10———————————————————————————24.243.38———
VanillaModel=Llama-3.1, Strategy=Vanilla2025.10———————————————————————————18.241———
VanillaModel=Qwen-3-8B, Strategy=Vanilla2025.10———————————————————————————14.321———
VanillaModel=Qwen-3-32B, Strategy=Vanilla2025.10———————————————————————————8.121———