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Text-to-SQL on Spider

98.65Exec Acc (All)SQLCoder
63.65472.739581.82590.9105Oct 16, 2024Jan 22, 2025Apr 30, 2025Aug 6, 2025Nov 12, 2025Feb 18, 2026May 28, 2026

Evaluation results

MethodLinks
SQLCoderBest alpha=0.41, Strategy=Best Pairwise2026.0598.65—————
Llama 3.1Best alpha=0.32, Strategy=Best Pairwise2026.0598.38—————
Gemma 3Best alpha=0.41, Strategy=Best Pairwise2026.0598.38—————
SQLCoderBest alpha=0.41, Strategy=Best kNN2026.0598.38—————
Gemma 3Best alpha=0.41, Strategy=Best kNN2026.0598.38—————
Qwen 3Best alpha=0.32, Strategy=Best Pairwise2026.0598.11—————
Llama 3.1Best alpha=0.32, Strategy=Best kNN2026.0598.11—————
Qwen 3Best alpha=0.32, Strategy=Best kNN2026.0595.14—————
IQuest-Coder-V1-40B-InstructModel Size Category=20B+2026.0392.2—————
CHASE-SQL + Gemini 1.5Model Size=Closed-Source (very large), Use specific training set?=YES, Support Multi-Turn Text-to-SQL?=NO2025.1087.6—————
Gemini-3-Flash-previewModel Size Category=Closed-APIs Models2026.0387.2—————
Gemini-3-Pro-previewModel Size Category=Closed-APIs Models2026.0387—————
SQL-O1Backbone=XiYanSQL, Size=7B, tuning=true2026.0286.54—————
DAIL-SQL + GPT-4Model Size=Closed-Source (very large), Use specific training set?=YES, Support Multi-Turn Text-to-SQL?=NO2025.1086.2—————
LinkAlignBackbone=XiYanSQL, Size=7B2026.0285.89—————
SQL-O1Backbone=Seed-Coder, Size=8B, tuning=true2026.0285.25—————
SQL-O1Backbone=Qwen2.5-Coder, Size=7B, tuning=true2026.0285.1—————
DTS-SQLBackbone=XiYanSQL, Size=7B2026.0285.09—————
DTS-SQLBackbone=OmniSQL, Size=7B2026.0284.99—————
Alpha-SQLBackbone=XiYanSQL, Size=7B2026.0284.93—————
Alpha-SQLBackbone=Seed-Coder, Size=8B2026.0284.37—————
Qwen3-4B + Long-Horizon Training (Ours)Model Size=4B, Use specific training set?=NO, Support Multi-Turn Text-to-SQL?=YES2025.1084.2—————
DTS-SQLBackbone=Qwen2.5-Coder, Size=7B2026.0284.12—————
Alpha-SQLBackbone=Qwen2.5-Coder, Size=7B2026.0284—————
IQuest-Coder-V1-40B-Loop-InstructModel Size Category=20B+2026.0384—————
Qwen2.5-Coder-32B-InstructModel Size Category=20B+2026.0383.9—————
IESRBackbone=Qwen2.5-Coder, Size=7B2026.0283.45—————
IESRBackbone=XiYanSQL, Size=7B2026.0283.36—————
CHESS-SQLBackbone=XiYanSQL, Size=7B2026.0283.3—————
DTS-SQLBackbone=Seed-Coder, Size=8B2026.0283.21—————
DAIL-sqlBackbone=Seed-Coder, Size=8B2026.0282.98—————
DAIL-sqlBackbone=XiYanSQL, Size=7B2026.0282.56—————
LLaDA2.0-flash2026.0282.49————4.42
LinkAlignBackbone=OmniSQL, Size=7B2026.0282.32—————
LinkAlignBackbone=Seed-Coder, Size=8B2026.0282.12—————
Qwen3-30B-A3B-Inst-25072026.0281.79————1
DAIL-sqlBackbone=OmniSQL, Size=7B2026.0281.56—————
CHESS-SQLBackbone=Seed-Coder, Size=8B2026.0281.31—————
Qwen2.5-Coder-14B-InstructModel Size Category=13B+2026.0381.3—————
Qwen3-Coder-480B-A35B-InstructModel Size Category=20B+2026.0381.2—————
SQL-O1Backbone=OmniSQL, Size=7B, tuning=true2026.0281.12—————
Qwen3-235B-A22B-Instruct-2507Model Size Category=20B+2026.0381.1—————
Kimi-K2-Instruct-0905Model Size Category=20B+2026.0381.1—————
LLaDA2.1-flashInference Mode=Q Mode2026.0281.04————5.7
Qwen3-Coder-30B-A3B-InstructModel Size Category=13B+2026.0380.9—————
Ling-flash-2.02026.0280.58————1
DAIL-sqlBackbone=Qwen2.5-Coder, Size=7B2026.0280.31—————
CHESS-SQLBackbone=Qwen2.5-Coder, Size=7B2026.0280.31—————
LinkAlignBackbone=Qwen2.5-Coder, Size=7B2026.0280.11—————
Claude-Sonnet-4.5Model Size Category=Closed-APIs Models2026.0380.1—————
IESRBackbone=OmniSQL, Size=7B2026.0280.02—————
Qwen2.5-Coder-7B-InstructModel Size Category=6B+2026.0379.8—————
Alpha-SQLBackbone=OmniSQL, Size=7B2026.0279.34—————
Din-sqlBackbone=XiYanSQL, Size=7B2026.0279.3—————
IESRBackbone=Seed-Coder, Size=8B2026.0279.22—————
LLaDA2.1-flashInference Mode=S Mode2026.0279.18————8.74
IQuest-Coder-V1-40B-ThinkingModel Size Category=20B+2026.0378.1—————
Din-sqlBackbone=Seed-Coder, Size=8B2026.0278.01—————
RESDSQL-3B + NatSQModel Size=3B, Use specific training set?=YES, Support Multi-Turn Text-to-SQL?=NO2025.1078—————
DeepSeek-v3.2Model Size Category=20B+2026.0377.9—————
IQuest-Coder-V1-40B-Loop-ThinkingModel Size Category=20B+2026.0377.8—————
PV-SQLBase LLM=GPT-4o2026.0477.66—————
KAT-DevModel Size Category=20B+2026.0377.6—————
GPT-5.1Model Size Category=Closed-APIs Models2026.0377.6—————
LLaDA2.1-minimode=Q Mode2026.0277.55————5.48
Din-sqlBackbone=Qwen2.5-Coder, Size=7B2026.0277.19—————
CHESS-SQLBackbone=OmniSQL, Size=7B2026.0277.02—————
Din-sqlBackbone=OmniSQL, Size=7B2026.0276.8—————
LLaDA2.0-mini2026.0276.76————3.93
Ling-mini-2.02026.0276.43—————
Claude-Opus-4.5Model Size Category=Closed-APIs Models2026.0376—————
IQuest-Coder-V1-14B-InstructModel Size Category=13B+2026.0375.8—————
LLaDA2.1-minimode=S Mode2026.0275.78————7.98
E-SQLBase LLM=GPT-4o2026.0475.63—————
TA-SQLBase LLM=GPT-4o2026.0474.66—————
TS-SQLBase LLM=GPT-4o2026.0474.18—————
Qwen3-14BModel Size=14B, Use specific training set?=NO, Support Multi-Turn Text-to-SQL?=YES2025.1072.9—————
Qwen3-8Bno think=true2026.0272.8—————
MAC-SQLBase LLM=GPT-4o2026.0472.73—————
XiYan-SQLBase LLM=GPT-4o2026.0472.73—————
Seed-Coder-8B-InstructModel Size Category=6B+2026.0372.7—————
DeepSeek-Coder-V2-Lite-InstructModel Size Category=6B+2026.0372.4—————
DAIL-SQLBase LLM=GPT-4o2026.0471.18—————
GPT-4o2026.0471.08—————
Qwen3-4BModel Size=4B, Use specific training set?=NO, Support Multi-Turn Text-to-SQL?=YES2025.1070.7—————
Table-SpecialistBase Model=GPT-4, Training Strategy=Table-Specialist2024.1070.4—————
GPT-4Base Model=GPT-4, Training Strategy=Vanilla2024.1069.4—————
IQuest-Coder-V1-14B-ThinkingModel Size Category=13B+2026.0369.3—————
Cot-sqlBackbone=XiYanSQL, Size=7B2026.0269.12—————
DIN-SQLBase LLM=GPT-4o2026.0469.05—————
Table-SpecialistBase Model=Llama3.1-8B, Training Strategy=Table-Specialist2024.1069—————
Table-SpecialistBase Model=GPT-3.5, Training Strategy=Table-Specialist2024.1068.4—————
Cot-sqlBackbone=OmniSQL, Size=7B2026.0268.32—————
IQuest-Coder-V1-7B-InstructModel Size Category=6B+2026.0367.7—————
Llama3.1-8BBase Model=Llama3.1-8B, Training Strategy=Vanilla2024.1067—————
OracleRetrieval category=Oracle2026.0466.6—————
Cot-sqlBackbone=Seed-Coder, Size=8B2026.0266.23—————
Full Fine-tuning (All)Model Size=Mamba 1.4B, Params (%)=100.00, Type=None2025.0366.284.369.553.443.4—
Cot-sqlBackbone=Qwen2.5-Coder, Size=7B2026.0265.32—————
GPT-3.5Base Model=GPT-3.5, Training Strategy=Vanilla2024.1065—————