Text / LLM / Model

Llama 3.3 70B

Organisation
Meta
Family
Llama · version 3.3
Released
2024-12-04 (llama-models README launch date 12/04/2024 (the model card's 'Model Release Date' field is empty))
Training cutoff
2023-12-01
Evidence
“The pretraining data has a cutoff of December 2023”
raw.githubusercontent.com · model card · Training Data / Data Freshness · retrieved 2026-10-15
Checkpoints
meta-llama/Llama-3.3-70B-Instruct
Weights
Open · Llama 3.3 Community License Agreement
Links

Training data disclosure: Vague

Level determined for 13% of benchmark cells.

“A new mix of publicly available online data.”
raw.githubusercontent.com · model card · Model Details table · retrieved 2026-10-15
“trillion tokens of data from publicly available sources”
raw.githubusercontent.com · model card · Training Data / Overview · retrieved 2026-10-15

Other declared training data

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

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

Not seen AIME 2024 · its test items were published from 2024-01-31, after the model's stated training-data cutoff (2023-12-01)

Evidence (4)
“The pretraining data has a cutoff of December 2023”
raw.githubusercontent.com · model card · Training Data / Data Freshness · retrieved 2026-10-15
“2024 AIME I problems and solutions. The test was held on Wednesday, January 31 – Thursday, February 1, 2024.”
web.archive.org · website · retrieved 2026-10-15
“AIME I (main AIME competition date): Thursday, Feb. 1, 2024 between 1:30 pm ET and 5:30 pm ET.”
web.archive.org · website · retrieved 2026-10-15
“AIME II (alternate AIME competition date): Wednesday, Feb. 7, 2024 between 1:30 pm ET and 5:30 pm ET.”
web.archive.org · website · retrieved 2026-10-15

Not seen AIME 2025 · its test items were published from 2025-02-06, after the model's stated training-data cutoff (2023-12-01)

Evidence (3)
“The pretraining data has a cutoff of December 2023”
raw.githubusercontent.com · model card · Training Data / Data Freshness · retrieved 2026-10-15
“2025 AIME I problems and solutions. The test was held on Thursday, February 6, 2025.”
web.archive.org · website · retrieved 2026-10-15
“This year the AIME I will take place on February 6, 2025, while the alternate AIME II will take place on February 12, 2025.”
maa.org · website · retrieved 2026-10-15

Unknown MATH-500 · training data not disclosed in enough detail

Notes

Only the instruction-tuned 70B checkpoint is published. The card describes the same pre-training figures as Llama 3.1 (15T+ tokens, December 2023 cutoff) but does not say whether the base model is Llama 3.1 70B.

Sources