BlogLLM Benchmark Scores as Published, Side by Side

OpenAI Internal Database Migration Tasks: Results as Published

Every result the catalog holds for OpenAI Internal Database Migration Tasks: 4 models from 2 developers, read from 1 page. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.

Area Agentic CodingMaintainer OpenAI (internal evaluation)Data version 2026103001, as of 2026-10-30

OpenAI's GPT-6 Astra launch page lists an internal evaluation named Database Migration Tasks in its coding benchmark chart, printing a score for each model. The page does not describe the tasks, the inputs or the scoring, and it does not state a direction for the score. By its name, the evaluation covers moving a database between schemas or systems, but OpenAI has not confirmed what it contains.

Not checked against a maintainer's page.

Internal Database Migration Tasks

ModelValuePrinted bySetup as printed
GPT-6 AstraOpenAI, released 2026-09-0363.9%OpenAI, GPT-6 Astrachecked 2026-10-14-
GPT-5.6 SolOpenAI, released 2026-07-0942.7%OpenAI, GPT-6 Astrachecked 2026-10-14-
Claude Fable 5.1Anthropic, released 2026-09-0157.8%OpenAI, GPT-6 Astrachecked 2026-10-14-
Claude Fable 5Anthropic, released 2026-06-0950.3%OpenAI, GPT-6 Astrachecked 2026-10-14-

Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.