🆕 Updated June 9: Claude Fable 5 released — 80.3% SWE-bench Pro, 88.0% Terminal-Bench 2.1, 56.8% HLE no tools. Now the definitive #1 for ORM queries (Django, SQLAlchemy), database administration, schema design, and stored procedures. Gemini still leads raw text-to-SQL on BIRD. Full SQL AI model comparison with proxy benchmarks.
🆕 Claude Fable 5 — The SQL Workhorse
80.3% SWE-bench Pro — 46% of tasks are Django ORM queries. 88.0% Terminal-Bench 2.1 — #1 for DB administration (pg_dump, migrations, index rebuilds). 56.8% HLE no tools — best for complex schema design. Gemini still leads raw text-to-SQL on BIRD. Fable 5 is the ORM + DB admin champion. $10/$50 per 1M tokens.
SQL is the most-used programming language on Earth after JavaScript — and the one where AI benchmarks are most misleading. Models score 85–92% on Spider 1.0 but collapse to 6–21% on Spider 2.0 (enterprise-scale). The BIRD benchmark is the only one that matters — and Gemini dominates it. But text-to-SQL is just one piece of database coding. ORM queries (Django, SQLAlchemy), migration scripts, indexing, stored procedures — these are the tasks developers actually do. Here's the definitive guide to which AI model is best for every database task. Generate SQL with all these models on CodingFleet's SQL Code Generator.
📊 Key Findings
- Gemini dominates text-to-SQL. Gemini-SQL + Gemini 2.5 Pro: 77.14% on BIRD test. Reddit testing confirms Gemini at 92.5% success rate with 40× better cost-performance than Claude.
- Claude Fable 5 is #1 for ORM queries + DB administration. 80.3% SWE-bench Pro (46% Django ORM), 88.0% Terminal-Bench (pg_dump, migrations, index rebuilds). The best model for SQL embedded in application code.
- Spider 1.0 is dead. 85–92% saturation across all frontier models. Like HumanEval. The BIRD benchmark is the SWE-bench of SQL.
- The BIRD benchmark has a dirty secret. MotherDuck found 32% of gold-standard SQL answers were wrong. The LLM-judge tier at 94% is more realistic.
All models analyzed here are available on CodingFleet. Test them on your database queries →
The SQL Benchmark Landscape
| Benchmark | Top Score | Status |
|---|---|---|
| Spider 1.0 | 85–92% | ❌ Dead. Saturated. |
| BIRD | 77.14% (LLM), 81.95% (agent), 92.96% (human) | ✅ The standard. |
| Spider 2.0 | 6–21% | ⚠️ Too hard. |
Which Model for Which Database Task?
| Database Task | Best Model | Budget Alternative |
|---|---|---|
| Text-to-SQL (raw queries) | Gemini 3.5 Flash | Gemini 2.5 Pro (Free tier) |
| Django ORM / SQLAlchemy | Claude Fable 5 | Claude Opus 4.8 ($25) |
| Migration generation & execution | Claude Fable 5 | GPT-5.5 ($30) |
| Schema design & normalization | Claude Fable 5 | Claude Opus 4.8 ($25) |
| Stored procedures & functions | Claude Fable 5 | Claude Opus 4.8 ($25) |
| Index & performance tuning | Claude Fable 5 | GPT-5.5 ($30) |
| Volume SQL generation | DeepSeek V4 Pro ($0.87) | DeepSeek V4 Flash ($0.28) |
| Multi-dialect SQL | Gemini 3.5 Flash | Gemini 2.5 Pro |
The Bottom Line
- Text-to-SQL: Gemini. BIRD leader (77.14%). Community testing confirms 92.5% success rate.
- ORM queries: Claude Fable 5. 80.3% SWE-bench Pro with 46% Django tasks. For Django, SQLAlchemy, and Active Record.
- Database administration: Claude Fable 5. 88.0% Terminal-Bench. Migrations, backups, replication setup.
- Volume SQL: DeepSeek V4 Pro. $0.87/1M output. For schema exploration and cost-sensitive generation.
Updated June 9, 2026. Claude Fable 5 replaces Opus 4.8 as the #1 for ORM queries, schema design, stored procedures, and DB administration. Gemini still owns raw text-to-SQL. DeepSeek remains best for cost-sensitive volume generation.