LLM Benchmarks Timeline
2024
Benchmark | Category | Time Span | Killed By | Killed (Ago) | Age | Defeated By | Original Score | Final Score | Details |
---|---|---|---|---|---|---|---|---|---|
ARC-AGI | Reasoning | 2019 – 2024 | Saturation | 1 month ago | 5 years, 1 month | O3 | Human Baseline: ~80% | O3: 87.5% | Abstract reasoning challenge with visual pattern completion tasks created by François Chollet. |
MATH | Mathematics | 2021 – 2024 | Saturation | 4 months ago | 3 years, 6 months | O1 | Average CS PhD: ~40% | O1: 94.8% | 12K challenging competition math problems from AMC/AIME, requiring complex multi-step reasoning. |
BIG-Bench-Hard | Multi-task | 2022 – 2024 | Saturation | 7 months ago | 1 year, 8 months | Sonnet 3.5 | Average Human: 67.7% | Sonnet 3.5: 93.1% | A curated suite of 23 challenging tasks from BIG-Bench. |
HumanEval | Coding | 2021 – 2024 | Saturation | 8 months ago | 2 years, 10 months | GPT-4o | Unspecified | GPT-4o: 90.2% | 164 Python programming problems testing coding abilities. |
IFEval | Instruction Following | 2023 – 2024 | Saturation | 10 months ago | 4 months | LLama 3.3 70B | Unspecified | LLama 3.3 70B: 92.1% | Evaluation suite testing multi-step instruction-following capabilities. |
2023
Benchmark | Category | Time Span | Killed By | Killed (Ago) | Age | Defeated By | Original Score | Final Score | Details |
---|---|---|---|---|---|---|---|---|---|
GSM8K | Mathematics | 2021 – 2023 | Saturation | 1 year ago | 2 years, 1 month | GPT-4 | Unspecified | GPT-4: 92.0% | 8.5K grade school math word problems requiring step-by-step solutions. |
Turing Test | Conversation | 1950 – 2023 | Saturation | 1 year ago | 73 years, 5 months | GPT-4 | Interrogator > 50% | Interrogator 46% | The original AI benchmark proposed by Alan Turing in 1950 (the "imitation game"). |
ARC (AI2) | Reasoning | 2018 – 2023 | Saturation | 1 year ago | 5 years | GPT-4 | Unspecified | GPT-4: 96.3% | Grade-school multiple-choice reasoning tasks testing logical, spatial, temporal reasoning. |
HellaSwag | Common Sense | 2019 – 2023 | Saturation | 1 year ago | 3 years, 10 months | GPT-4 | Human: 95.6% | GPT-4: 95.3% | Multiple-choice questions about everyday scenarios with adversarial filtering. |
MMLU | Knowledge | 2020 – 2023 | Saturation | 1 year ago | 2 years, 6 months | GPT-4 | 95th pct Human: 87.0% | GPT-4: 87.3% | 57 subjects from real-world sources (professional exams) testing breadth and depth of knowledge. |
WinoGrande | Common Sense | 2019 – 2023 | Saturation | 1 year ago | 3 years, 8 months | GPT-4 | Human: 94% | GPT-4: 87.5% | Enhanced WSC with 44K problems testing common-sense pronoun resolution. |
Pre-2023
2022
Benchmark | Category | Time Span | Killed By | Killed (Ago) | Age | Defeated By | Original Score | Final Score | Details |
---|---|---|---|---|---|---|---|---|---|
BIG-Bench | Multi-task | 2021 – 2022 | Saturation | 2 years ago | 10 months | Palm 540B | Human: 49.8% | Palm 540B: 61.4% | 204 tasks spanning linguistics, math, common-sense reasoning, and more. |
2019
Benchmark | Category | Time Span | Killed By | Killed (Ago) | Age | Defeated By | Original Score | Final Score | Details |
---|---|---|---|---|---|---|---|---|---|
SuperGLUE | Language | 2019 – 2019 | Saturation | 5 years ago | 5 months | T5 | Human: 89.8% | T5: 89.3% | More challenging language understanding tasks (word sense, causal reasoning, RC). |
WSC | Common Sense | 2012 – 2019 | Saturation | 5 years ago | 7 years, 3 months | ROBERTA (w SFT) | Human: 96.5% | ROBERTA (w SFT): 90.1% | Carefully crafted sentence pairs with ambiguous pronoun references. |
GLUE | Language | 2018 – 2019 | Saturation | 5 years ago | 1 year, 1 month | XLNet | Human: 87.1% | XLNet: 88.4% | Nine tasks for evaluating NLU (inference, paraphrase, similarity, etc.). |
TriviaQA | Knowledge | 2017 – 2019 | Saturation | 5 years ago | 2 years, 1 month | SpanBERT | Human: 79.7% | SpanBERT: 83.6% | 650K QA-evidence triples requiring cross-sentence reasoning. |
SQuAD v2.0 | Language | 2018 – 2019 | Saturation | 5 years ago | 11 months | BERT | Human: 89.5% | BERT: 89.5% | Extension of SQuAD adding unanswerable questions. |
SQuAD | Language | 2016 – 2019 | Saturation | 5 years ago | 2 years, 10 months | BERT | Human: 91.2% | BERT: 93.2% | 100,000+ QA tasks on Wikipedia articles. |
2018
Benchmark | Category | Time Span | Killed By | Killed (Ago) | Age | Defeated By | Original Score | Final Score | Details |
---|---|---|---|---|---|---|---|---|---|
SWAG | Common Sense | 2018 – 2018 | Saturation | 6 years ago | 5 months | BERT | Human: 88% | BERT: 86% | 113K multiple-choice questions about grounded situations (common sense “next step”). |