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Verilog Generation on VerilogEval v2

89.6Pass@1GPT-OSS-120B
18.67237.08655.573.914May 13, 2026May 17, 2026May 22, 2026May 27, 2026Jun 1, 2026Jun 6, 2026Jun 11, 2026

Evaluation results

MethodLinks
GPT-OSS-120BRole=Teacher, SFT=null, RL=null2026.0689.6—————96.797.6
Claude Opus 4.7Type=Foundation Models2026.0586.9—————90.4—
GPT-5.5Type=Foundation Models2026.0584.7—————90.4—
SiliconMind-V1Role=Fine-tuned, Base Model=Qwen3-4B-Thinking, SFT=true, RL=false2026.0682—————89.691
SiliconMind-V1Role=Fine-tuned, Base Model=Qwen3-8B, SFT=true, RL=false2026.0681—————89.892.4
STGRole=Fine-tuned, Base Model=Qwen3-8B, SFT=true, RL=false2026.0680.2—————89.992
ChipMATE-Agents-9BType=ChipMATE (Ours), Size=9B2026.0580.1—————82.4—
STGRole=Fine-tuned, Base Model=Qwen3-4B-Thinking, SFT=true, RL=false2026.0680—————90.291.5
DeepSeek R1Type=Foundation Models, Size=671B2026.0577.5—————84.7—
ChipMATE-Verilog-9BType=ChipMATE (Ours), Size=9B2026.0575.3—————77.6—
ChipMATE-Agents-4BType=ChipMATE (Ours), Size=4B2026.0575—————76.3—
SiliconMind-V1Role=Fine-tuned, Base Model=Qwen2.5-C-7B-Instruct, SFT=true, RL=false2026.0673.9—————83.685.8
CodeV-R1Role=Fine-tuned, Base Model=Qwen2.5-C-7B-Instruct, SFT=true, RL=true2026.0673.2—————83.686.6
STGRole=Fine-tuned, Base Model=Qwen2.5-C-7B-Instruct, SFT=true, RL=false2026.0670.5—————84.989.4
CodeV-R1Type=Specialized Models, Size=7B2026.0568.8—————78.2—
DeepSeek CoderType=Foundation Models, Size=236B2026.0568.5—————80.8—
ChipMATE-Verilog-4BType=ChipMATE (Ours), Size=4B2026.0567.4—————71.8—
DeepSeek V4Type=Foundation Models, Size=1.6T2026.0567.3—————80.1—
VeriRL (paper)Role=Fine-tuned, Base Model=Qwen2.5-C-7B-Instruct, SFT=true, RL=true2026.0667.2—————76.1—
CodeV-R1 (distill)Type=Specialized Models, Size=7B2026.0565.2—————75.2—
GPT-4oType=Foundation Models2026.0564.1—————73.7—
VeriRL (reproduced)Role=Fine-tuned, Base Model=Qwen2.5-C-7B-Instruct, SFT=true, RL=true2026.0660.8—————74.878.8
Qwen3-8BRole=Base, SFT=null, RL=null2026.0652.5—————65.469.1
Qwen3.5-9BType=Base Models, Size=9B2026.0548.5—————66.6—
Qwen3.5-4BType=Base Models, Size=4B2026.0541.7—————60.9—
Qwen2.5-C-7B-InstructRole=Base, SFT=null, RL=null2026.0633.6—————53.760.1
Qwen3-4B-ThinkingRole=Base, SFT=null, RL=null2026.0621.4—————30.433.4
DeepSeek-R1-FP42026.01—9194.294.994.995.5——
DeepSeek-R1-FP4-MCTSSTG=false, Search Strategy=Monte Carlo Tree Search2026.01—94.296.896.897.498.1——
Gemini-2.0-FlashAPI Access=true2026.01—72.474.477.678.880.1——
Gemini-2.0-Flash-IGRSTG=false, Search Strategy=Idea-Guided Refinement, API Access=true2026.01—76.385.386.586.586.5——
Gemini-2.0-Flash-MCTSSTG=false, Search Strategy=Monte Carlo Tree Search, API Access=true2026.01—77.681.484.686.587.8——
GPT-OSS-120B2026.01—92.993.694.294.294.2——
GPT-OSS-120B-IGRSTG=false, Search Strategy=Idea-Guided Refinement2026.01—89.195.596.296.896.8——
GPT-OSS-120B-MCTSSTG=false, Search Strategy=Monte Carlo Tree Search2026.01—89.793.694.995.596.2——
REvolution (Deepseek-V3)API Access=true2026.01————95.5———
REvolution (Llama-3.3-70B)API Access=true2026.01————88.5———
Siliconmind-7B2026.01—82.187.889.791.791.7——
Siliconmind-7B-MCTSSTG=false, Search Strategy=Monte Carlo Tree Search2026.01—8485.386.590.492.3——
VerilogCoder (GPT-4-Turbo)API Access=true2026.01———94.2————
VerilogCoder (Llama-3-70B)2026.01———67.3————