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Reward Modeling on RewardBench v2 (test)

86.5Average ScoreSkywork-Reward-V2-Llama-3.1-8B-40M
19.83637.14354.4571.757Jul 2, 2025Aug 20, 2025Oct 8, 2025Nov 27, 2025Jan 15, 2026Mar 5, 2026Apr 24, 2026

Evaluation results

MethodLinks
Skywork-Reward-V2-Llama-3.1-8B-40MBackbone=Llama-3.1, Parameters=8B, Curated Data Volume=40M2025.0786.587.967.883.197.399.283.9
Skywork-Reward-V2-Llama-3.1-8B-40MModel Type=Reward Model, Backbone=Llama-3.1, Parameter Count=8B, Training Data=40M2025.0786.5——————
Skywork-Reward-V2-Llama-3.1-8BBackbone=Llama-3.1, Parameters=8B2025.0784.184.666.277.696.798.481.2
Skywork-Reward-V2-Llama-3.1-8BModel Type=Reward Model, Backbone=Llama-3.1, Parameter Count=8B2025.0784.1——————
LMUnit-qwen2.5-72bBackbone=Qwen-2.5-72B2025.0782.187.254.472.791.396.890.1
LMUnit-llama3.1-70bBackbone=Llama-3.1-70B2025.0780.584.648.871.690.79790.6
Skywork-Reward-V2-Qwen3-8BBackbone=Qwen3, Parameters=8B2025.0778.279.849.1779496.472.9
Skywork-Reward-V2-Qwen3-8BModel Type=Reward Model, Backbone=Qwen3, Parameter Count=8B2025.0778.2——————
gemini-2.5-flash-preview-04-17Release Date=04-172025.0777.265.755.381.190.986.783.4
QRM-Gemma-2-27BBackbone=Gemma-2-27B2025.0776.778.537.269.995.895.483.2
Llama-3.1-Nemotron-70BModel Type=Open Reward Model, Backbone=Llama-3.1, Parameter Count=70B2025.0776.7——————
INF-ORM-Llama3.1-70BBackbone=Llama-3.1-70B2025.0776.574.141.969.996.490.386.2
claude-opus-4-20250514Release Date=202505142025.0776.582.741.974.989.586.283.7
INF-ORM-Llama3.1-70BModel Type=Open Reward Model, Backbone=Llama-3.1, Parameter Count=70B2025.0776.5——————
llama-3.1-70B-Instruct-RM-RB2Backbone=Llama-3.1-70B-Instruct2025.077681.341.969.988.486.588.3
Skywork-Reward-Gemma-2-27BBackbone=Gemma-2-27B2025.0775.873.740.370.594.293.282.6
Skywork-Reward-V2-Qwen3-4BBackbone=Qwen3, Parameters=4B2025.0775.577.346.273.292.296.667.4
Skywork-Reward-V2-Qwen3-4BModel Type=Reward Model, Backbone=Qwen3, Parameter Count=4B2025.0775.5——————
claude-3-7-sonnet-20250219Release Date=202502192025.0775.473.354.47590.392.167.2
Skywork-Reward-Gemma-2-27B-v0.2Backbone=Gemma-2-27B, Version=v0.22025.0775.376.737.567.296.991.781.8
Skywork-Reward-Gemma-2-27B-v0.2Model Type=Open Reward Model, Backbone=Gemma-2, Parameter Count=27B2025.0775.3——————
Skywork-Reward-V2-Llama-3.2-3BBackbone=Llama-3.2, Parameters=3B2025.0774.776.245.669.493.19667.7
Skywork-Reward-V2-Llama-3.2-3BModel Type=Reward Model, Backbone=Llama-3.2, Parameter Count=3B2025.0774.7——————
TCRMModel=Qwen3-32B2026.0474.473.738.170.592.993.977.3
URM-LLama-3.1-8BBackbone=Llama-3.1-8B2025.0773.968.84563.991.897.676.5
BaselineModel=Qwen3-32B2026.0473.472.638.168.993.191.176.4
Skywork-Reward-Llama-3.1-8BBackbone=Llama-3.1-8B2025.0773.169.942.562.893.396.274.1
TC-λModel=Qwen3-14B2026.0472.667.843.170.590.985.577.8
LDL-Reward-Gemma-2-27B-v0.1Model Type=Open Reward Model, Backbone=Gemma-2, Parameter Count=27B2025.0772.5——————
BaselineModel=Qwen3-14B2026.0472.267.642.570.590.280.881.5
Skywork-Reward-Llama-3.1-8B-v0.2Model Type=Open Reward Model, Backbone=Llama-3.1, Parameter Count=8B2025.0771.8——————
TCRMModel=Qwen3-14B2026.0471.166.541.265.693.685.174.5
Skywork-Reward-V2-Qwen3-1.7BBackbone=Qwen3, Parameters=1.7B2025.0768.365.84572.789.188.548.7
Skywork-Reward-V2-Qwen3-1.7BModel Type=Reward Model, Backbone=Qwen3, Parameter Count=1.7B2025.0768.3——————
TCRMModel=Llama3.1-8B2026.0468.16033.167.287.887.173.3
TC-λModel=Llama3.1-8B2026.0467.661.1355988.289.173.1
BaselineModel=Llama3.1-8B2026.0467.359.833.865.688.487.569
ArmoRM-Llama3-8B-v0.1Model Type=Open Reward Model, Backbone=Llama-3, Parameter Count=8B2025.0766.5——————
GPT-4oModel Type=LLM-as-a-Judge2025.0764.9——————
Llama-3-OffsetBias-RM-8BModel Type=Open Reward Model, Backbone=Llama-3, Parameter Count=8B2025.0764.8——————
Claude-3.5-SonnetModel Type=LLM-as-a-Judge2025.0764.7——————
Skywork/Skywork-Reward-V2-Llama-3.2-1BParams (B)=1.0, Type=Seq. Classifier2026.0264.376——————
Skywork-Reward-V2-Llama-3.2-1BBackbone=Llama-3.2, Parameters=1B2025.0764.360.945.659.687.389.343.1
Skywork-Reward-V2-Llama-3.2-1BModel Type=Reward Model, Backbone=Llama-3.2, Parameter Count=1B2025.0764.3——————
Skywork-Reward-V2-Qwen3-0.6BBackbone=Qwen3, Parameters=0.6B2025.0761.358.24071.684.479.434
Skywork-Reward-V2-Qwen3-0.6BModel Type=Reward Model, Backbone=Qwen3, Parameter Count=0.6B2025.0761.3——————
Skywork/Skywork-Reward-V2-Qwen3-0.6BParams (B)=0.6, Type=Seq. Classifier2026.0261.25——————
Internlm2-20b-rewardModel Type=Open Reward Model, Backbone=Internlm2, Parameter Count=20B2025.0756.3——————
ImplicitPRM (DPO)Model=Qwen3-14B2026.0454.153.931.255.776.283.823.9
TCRMModel=Qwen3-8B2026.0453.248.237.557.474.47724.5
ImplicitPRM (DPO)Model=Llama3.1-8B2026.0452.550.923.854.182.786.117.5
ImplicitPRM (DPO)Model=Qwen3-32B2026.045259.426.248.164.982.430.8
ImplicitPRM (DPO)Model=Qwen3-8B2026.0451.749.131.954.6668226.4
ImplicitPRM (DPO)Model=Qwen3-4B2026.045148.829.45367.180.227.4
TC-λModel=Qwen3-8B2026.0448.558.73555.772.747.521.1
BaselineModel=Qwen3-8B2026.0447.440.233.856.357.875.620.9
TC-λModel=Qwen3-4B2026.0445.441.532.549.27460.614.4
TC-λModel=Qwen3-1.7B2026.0444.55133.156.866.4554.9
ImplicitPRM (DPO)Model=Qwen3-1.7B2026.0442.146.521.250.852.469.112.5
TCRMModel=Qwen3-1.7B2026.0437.233.727.529.56264.45.9
ImplicitPRM (DPO)Model=Qwen3-0.6B2026.0435.538.32538.332.470.97.9
Finemath-RM-Llama-3.2-1BParams (B)=1.0, Type=Seq. Classifier2026.0233.2——————
TC-λModel=Qwen3-0.6B2026.0432.831.224.43540.254.112
TCRMModel=Qwen3-0.6B2026.042930.526.232.829.350.94.1
BaselineModel=Qwen3-1.7B2026.0428.727.623.140.444.430.36.1
OpenAssistant/oasst-rm-2.1-pythia-1.4b-epoch-2.5Params (B)=1.4, Type=Seq. Classifier2026.0226.479——————
BaselineModel=Qwen3-0.6B2026.0422.437.528.125.121.616.45.5