Contamination MapText / LLM / Model
GPT-5
- Organisation
- OpenAI
- Family
- GPT
- Released
- 2025-08-07 (API snapshot name gpt-5-2025-08-07 (developers.openai.com/api/docs/models/gpt-5); the fetched system card PDF is dated August 13, 2025)
- Training cutoff
- 2024-09-30
Evidence
“Sep 30, 2024 knowledge cutoff”
developers.openai.com · website · Model page header · retrieved 2026-10-15 - Checkpoints
- gpt-5-2025-08-07
- Weights
- Closed · proprietary
- Links
- Model card
Training data disclosure: Vague
Level determined for 4% of benchmark cells.
- TestTest data seen0
- SeenSeen, split unclear0
- TrainTraining data seen0
- Related data seen0
- NoNot seen1
- ?Unknown21
“Like OpenAI's other models, the GPT-5 models were trained on diverse datasets, including information that is publicly available on the internet, information that we partner with third parties to access, and information that our users or human trainers and researchers provide or generate.”
Other declared training data
-
information that is publicly available on the internet (broad web data: may contain benchmark test sets) · split: unknown
Evidence
“Like OpenAI's other models, the GPT-5 models were trained on diverse datasets, including information that is publicly available on the internet, information that we partner with third parties to access, and information that our users or human trainers and researchers provide or generate.”
cdn.openai.com · model card · Section 2 (Model Data and Training) · retrieved 2026-10-15 -
information that we partner with third parties to access (not yet matched to a dataset) · split: unknown
Evidence
“Like OpenAI's other models, the GPT-5 models were trained on diverse datasets, including information that is publicly available on the internet, information that we partner with third parties to access, and information that our users or human trainers and researchers provide or generate.”
cdn.openai.com · model card · Section 2 (Model Data and Training) · retrieved 2026-10-15 -
information that our users or human trainers and researchers provide or generate (not yet matched to a dataset) · split: unknown
Evidence
“Like OpenAI's other models, the GPT-5 models were trained on diverse datasets, including information that is publicly available on the internet, information that we partner with third parties to access, and information that our users or human trainers and researchers provide or generate.”
cdn.openai.com · model card · Section 2 (Model Data and Training) · retrieved 2026-10-15
Benchmark cells
Classic LLM benchmarks
Unknown MMLU (Measuring Massive Multitask Language Understanding) · training data not disclosed in enough detail
Unknown GSM8K (Grade School Math 8K) · training data not disclosed in enough detail
Unknown MATH (Mathematics Aptitude Test of Heuristics) · training data not disclosed in enough detail
Unknown HumanEval · training data not disclosed in enough detail
Unknown ARC-Challenge (AI2 Reasoning Challenge, Challenge Set) · training data not disclosed in enough detail
Unknown HellaSwag · training data not disclosed in enough detail
Unknown TruthfulQA · training data not disclosed in enough detail
Unknown WinoGrande · training data not disclosed in enough detail
Multimodal LLM benchmarks
Unknown MMMU (Massive Multi-discipline Multimodal Understanding and Reasoning) · training data not disclosed in enough detail
Unknown MMMU-Pro · training data not disclosed in enough detail
Unknown MathVista · training data not disclosed in enough detail
Unknown ChartQA · training data not disclosed in enough detail
Unknown DocVQA · training data not disclosed in enough detail
Unknown AI2D (AI2 Diagrams) · training data not disclosed in enough detail
Unknown CharXiv · training data not disclosed in enough detail
Recent LLM benchmarks
Unknown GPQA Diamond · training data not disclosed in enough detail
Unknown MMLU-Pro · training data not disclosed in enough detail
Unknown LiveCodeBench (code generation, release_v6) · training data not disclosed in enough detail
Unknown SWE-bench Verified · training data not disclosed in enough detail
Unknown AIME 2024 · training data not disclosed in enough detail
Not seen AIME 2025 · its test items were published from 2025-02-06, after the model's stated training-data cutoff (2024-09-30)
Evidence (3)
“Sep 30, 2024 knowledge cutoff”
“2025 AIME I problems and solutions. The test was held on Thursday, February 6, 2025.”
“This year the AIME I will take place on February 6, 2025, while the alternate AIME II will take place on February 12, 2025.”
Unknown MATH-500 · training data not disclosed in enough detail
Notes
System card focuses on gpt-5-thinking and gpt-5-main; gpt-5-mini/nano and later GPT-5.x releases are not covered by this entry. No training-data contamination statement found. Accepts image input: “Modalities Text Input and output Image Input only”
Sources
- GPT-5 System Card · model card · retrieved 2026-10-15
- OpenAI API docs: GPT-5 model page · website · retrieved 2026-10-15