BlogLLM Benchmark Scores as Published, Side by Side

GPT-5.2-Codex: Benchmark Scores as Published

Every result the catalog holds for GPT-5.2-Codex: 5 tests in 3 areas, from 3 pages. All were printed by OpenAI itself. Each number is as printed; nothing is ranked or rescored.

Developer OpenAIReleased 2025-12-18Context window 400KMax output 128KInput Text, imageOutput TextWeights ClosedData version 2026103001, as of 2026-10-30

Agentic Coding

TestValuePrinted bySetup as printed
SWE-Bench Pro56.4%OpenAI, Introducing GPT-5.2-Codexchecked 2026-10-15; printed on 1 more page-
Terminal-Bench 2.064%OpenAI, Introducing GPT-5.2-Codexchecked 2026-10-15; printed on 1 more page-
SWE-Lancer IC Diamond76%OpenAI, Introducing GPT-5.3-Codexchecked 2026-10-15Effort: xhigh

Computer Use

TestValuePrinted bySetup as printed
OSWorld-Verified38.2%OpenAI, Introducing GPT-5.3-Codexchecked 2026-10-15Effort: xhigh

Cybersecurity

TestValuePrinted bySetup as printed
Capture the Flag challenges67.4%OpenAI, Introducing GPT-5.3-Codexchecked 2026-10-15Effort: xhigh

Price

API list prices in US dollars per one million tokens, as printed on the developer's pricing page on the day checked. Cost per task is measured by Vals AI.

PriceValuePrinted bySetup as printed
Cost per taskVals AI, USD, lower is better$4.15Vals AI, Vibe Code Bench v1.1 leaderboardchecked 2026-10-27Harness: OpenHands

More from OpenAI

Every number here is read from the same catalog file as the benchmark table, data version 2026103001. Where one page printed the 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.