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Text-to-SQL on Spider-Realistic

88.6Execution Accuracy (EX)FineStep-4B
36.650.163.677.1May 14, 2022Jan 16, 2023Sep 20, 2023May 24, 2024Jan 26, 2025Sep 30, 2025Jun 4, 2026

Evaluation results

MethodLinks
FineStep-4BModel Size=4B2026.0588.6———80.9
FineStep-8BModel Size=8B2026.0586———77.9
ReEx-SQL-7BModel Size=7B2026.0585.5———79.9
SENSE-13BModel Size=13B2026.0584.1———76.6
SQL-R1-7B*Model Size=7B2026.0583.3————
SFT CodeS-15BModel Size=15B2026.0583.1———75.6
SQL-o1 + Llama3-8BBackbone=Llama3-8B2026.0582.7———72.8
DCG-SQLLLM Backbone=GPT-42025.0581.973.6———
Think2SQL-14BModel Scale Category=10-50B2025.0481.8————
ACT-SQLLLM Backbone=GPT-42025.0581.355.7———
Think2SQL-4BModel Scale Category=< 5B2025.0481.2————
MTIR-SQL + Qwen3-14BBackbone=Qwen3-14B2026.0581.1————
ASTRESLLM Backbone=GPT-42025.0580.966.1———
Think2SQL-8BModel Scale Category=5-10B2025.0480.9————
FastRAText+GPT-4Backbone=GPT-42026.0580.9————
ROUTE + Llama3-8BBackbone=Llama3-8B2026.0580.9———72.6
TA-SQL + GPT-4Backbone=GPT-42026.0579.5————
ACE-SQLDecoding Strategy=greedy2026.0679.5————
DCG-SQLLLM Backbone=Deepseek-Coder-33B-Instruct2025.0579.171.1———
DCG-SQLLLM Backbone=GPT-3.5-Turbo2025.057962.8———
ASTRESLLM Backbone=GPT-3.5-Turbo2025.057860.8———
SQL-PaLM + PaLM2Backbone=PaLM22026.0577.6————
ASTRESLLM Backbone=Deepseek-Coder-33B-Instruct2025.0577.459.3———
MTIR-SQLModel Scale=8B, Decoding Strategy=greedy2026.0677.4————
OmniSQL-32BModel Size=32B2026.0577.2————
ACT-SQLLLM Backbone=GPT-3.5-Turbo2025.0576.448.6———
ACT-SQLLLM Backbone=Deepseek-Coder-33B-Instruct2025.0576.451.8———
OmniSQL-7BParameters=7B2026.0176.261.4———
OmniSQLModel Scale=7B, Decoding Strategy=greedy2026.0676.2————
DAIL-SQLLLM Backbone=GPT-42025.0576————
DCG-SQLLLM Backbone=Llama-3.1-8B-Instruct2025.0575.867.1———
EVOLSQL-7BParameters=7B2026.0175.861.9———
DCG-SQLLLM Backbone=Deepseek-Coder-6.7B-Instruct2025.0574.868.5———
ACT-SQLLLM Backbone=Llama-3.1-8B-Instruct2025.0574.460.2———
RASAT+PICARDPost-processing=PICARD2022.0571.969.7———
SFT (BIRD+Spider)Training Data=BIRD+Spider2026.0171.955.8———
T5-3B+PICARDPost-processing=PICARD2022.0571.468.7———
CYCLESQL + GPT-4Backbone=GPT-42026.0570.6———56.9
ACT-SQLLLM Backbone=Deepseek-Coder-6.7B-Instruct2025.0569.153.5———
DCG-SQLLLM Backbone=Llama-3.2-3B-Instruct2025.0568.559.6———
DAIL-SQLLLM Backbone=GPT-3.5-Turbo2025.0567.9————
Base ModelBackbone=Qwen2.5-Coder-7B-Instruct2026.0166.753.4———
RASAT2022.0565.865.2———
RAT-SQL+STRUGAugmentation=STRUG2022.0565.762.2———
DIN-SQLLLM Backbone=GPT-3.5-Turbo2025.0565.241.1———
T5-3B2022.0564.162———
ACT-SQLLLM Backbone=Llama-3.2-3B-Instruct2025.056247———
DIN-SQLLLM Backbone=Llama-3.1-8B-Instruct2025.0559.636.4———
DIN-SQLLLM Backbone=Deepseek-Coder-6.7B-Instruct2025.0553.529.3———
DIN-SQLLLM Backbone=Llama-3.2-3B-Instruct2025.0538.629.1———
DataFlow-Text2SQL-50KBackbone=Meta-Llama-3.1-8B-Instruct2025.12——69.673.5—
DataFlow-Text2SQL-50KBackbone=Qwen2.5-Coder-7B-Instruct2025.12——77.882.1—
DataFlow-Text2SQL-90KBackbone=Meta-Llama-3.1-8B-Instruct2025.12——71.472.7—
DataFlow-Text2SQL-90KBackbone=Qwen2.5-Coder-7B-Instruct2025.12——79.581.7—
DeepSeek-Coder-7B-InstructAccess=Open-source2025.12——58.758.9—
GPT-4-TurboAccess=Closed-source2025.12——67.568.3—
GPT-4oAccess=Closed-source2025.12——66.566.7—
GPT-4o-miniAccess=Closed-source2025.12——64.466.7—
Granite-3.1-8B-InstructAccess=Open-source2025.12——46.557.1—
Granite-8B-Code-InstructAccess=Open-source2025.12——48.849.4—
Meta-Llama-3.1-8B-InstructAccess=Open-source2025.12——57.561—
MTIR-SQL-4BSchema Prefill=true2026.03——78.7——
MTIR-SQL-8BSchema Prefill=true2026.03——77.4——
OmniSQL-7BSchema Prefill=true2026.03——76.278—
OpenCoder-8B-InstructAccess=Open-source2025.12——4949.4—
Qwen2.5-7B-InstructAccess=Open-source2025.12——56.763.6—
Qwen2.5-Coder-7B-InstructAccess=Open-source2025.12——66.770.5—
Spider+BIRD+DataFlow-Text2SQL-90KBackbone=Meta-Llama-3.1-8B-Instruct2025.12——74.475—
Spider+BIRD+DataFlow-Text2SQL-90KBackbone=Qwen2.5-Coder-7B-Instruct2025.12——82.383.7—
SQL-R1-3BSchema Prefill=true2026.03———71.5—
SQL-R1-7BSchema Prefill=true2026.03———83.3—
SQL-Trail-7BSchema Prefill=true2026.03——79.683.9—
SynSQL(2.5M)Backbone=Meta-Llama-3.1-8B-Instruct2025.12——67.969.4—
SynSQL(2.5M)Backbone=Qwen2.5-Coder-7B-Instruct2025.12——76.278—
SynSQL(50K)Backbone=Meta-Llama-3.1-8B-Instruct2025.12——69.371.6—
SynSQL(50K)Backbone=Qwen2.5-Coder-7B-Instruct2025.12——77.280.3—
SynSQL(90K)Backbone=Meta-Llama-3.1-8B-Instruct2025.12——6970.9—
SynSQL(90K)Backbone=Qwen2.5-Coder-7B-Instruct2025.12——7779.9—
TRUST-SQL-4BSchema Prefill=false2026.03——79.982.5—
TRUST-SQL-8BSchema Prefill=false2026.03——82.184.1—