subinium/Awesome-Scientific-LLM-Benchmarks
subinium/Awesome-Scientific-LLM-Benchmarks has 42 GitHub stars and 4 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-11 17:58 UTC. Last push 2026-11-02.
A curated, accuracy-first list of benchmarks for evaluating LLMs on scientific reasoning and discovery — math, physics, chemistry, materials, biology, and agentic science.
Measured star growth
- in 24h
- 0
- in 7 days
- Collecting history
- in 15 days
- Collecting history
- in 1 month
- Collecting history
Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
README.md
OriginalAwesome Scientific LLM Benchmarks

Benchmarks for evaluating large language models on scientific reasoning and discovery — across mathematics, physics & astronomy, chemistry, materials science, biology, and agentic science.
Listed alphabetically within each domain.
Contents
- General / Multi-domain Science
- Mathematics
- Physics & Astronomy
- Chemistry
- Materials Science
- Biology & Life Sciences
- Agentic Science & AI Research
General / Multi-domain Science
Cross-disciplinary STEM reasoning benchmarks; a few are broad exams where science is a major subset.
| Benchmark | Org | Year | Paper | Code | Stars | Description |
|---|---|---|---|---|---|---|
| AGIEval | Microsoft | 2023 | paper | code | Human-centric benchmark from standardized exams like Gaokao, SAT, LSAT, and math competitions. | |
| ARB | DuckAI / Georgia Tech | 2023 | paper | code | Advanced problems across mathematics, physics, biology, chemistry, and law, including symbolic and proof items graded by rubric. | |
| ARC (AI2 Reasoning Challenge) | Allen AI (AI2) | 2018 | paper | code | 7,787 grade-school science exam multiple-choice questions split into Easy and Challenge sets. | |
| C-Eval | SJTU / HKUST | 2023 | paper | code | 13,948 Chinese multiple-choice questions across 52 disciplines and four difficulty levels. | |
| CharXiv | Princeton University / University of Wisconsin-Madison / HKU | 2024 | paper | code | 2,323 expert-curated charts from scientific papers with descriptive and reasoning questions for realistic multimodal chart understanding. | |
| CURIE | 2025 | paper | code | 580 expert-curated problems drawn from 429 research documents across ten long-context tasks in materials science, condensed matter physics, quantum computing, geospatial analysis, biodiversity, and proteins. | ||
| EMMA | CUHK / Microsoft | 2025 | paper | code | 2,788 problems demanding cross-modal reasoning across mathematics, physics, chemistry, and coding for multimodal models. | |
| FrontierScience | OpenAI | 2026 | paper | — | — | Expert-level science benchmark with an olympiad track (IPhO/IChO/IBO-level) and a rubric-graded PhD-level research track across physics, chemistry, and biology. |
| GAOKAO-Bench | Fudan University | 2023 | paper | code | 2,811 Chinese college-entrance-exam questions across subjects for LLM evaluation. | |
| GPQA | NYU / Anthropic / Cohere | 2023 | paper | code | 448 expert-written graduate-level biology, physics, and chemistry questions, including the 198-item GPQA Diamond subset used in frontier-model evaluations. | |
| HLE-Diamond | CAIS / Scale AI | 2026 | paper | — | — | Refined 1,000-question subset of Humanity's Last Exam, split evenly between expert knowledge and reasoning across academic subjects including science and mathematics. |
| Humanity's Last Exam | CAIS / Scale AI | 2025 | paper | code | 2,500 expert questions across 100+ subjects at the frontier of human academic knowledge. | |
| JEEBench | IIT Delhi | 2023 | paper | code | 515 challenging IIT-JEE Advanced physics, chemistry, and math problem-solving questions. | |
| MMLU-Pro | University of Waterloo (TIGER-Lab) | 2024 | paper | code | 12K reasoning-focused ten-option questions across 14 academic and STEM domains. | |
| MMMU | IN.AI / University of Waterloo / OSU | 2023 | paper | code | 11.5K college-level multimodal questions across six disciplines and 30 subjects. | |
| MMMU-Pro | CMU / University of Waterloo / OSU | 2024 | paper | — | — | 3,460 college-level multimodal questions in standard and vision-only settings, filtered to require visual evidence and expanded to ten answer options. |
| MMSci | UC Santa Barbara et al. | 2024 | paper | code | Figure-captioning and multiple-choice tasks built from open-access Nature Communications articles spanning 72 scientific disciplines. | |
| OlympiadBench | Tsinghua University / OpenBMB | 2024 | paper | code | 8,476 olympiad-level bilingual multimodal math and physics problems with expert step annotations. | |
| OlympicArena | SJTU (GAIR) | 2024 | paper | code | 11,163 olympiad-level problems across seven disciplines for multi-discipline cognitive reasoning. | |
| OpenBookQA | Allen AI (AI2) | 2018 | paper | code | Elementary science multiple-choice questions requiring core facts plus broad common-sense knowledge. | |
| PaperMind | University of Illinois Urbana-Champaign | 2026 | paper | code | Multimodal benchmark evaluating agent-oriented reasoning and critique over real research papers across seven domains via grounding, experimental interpretation, cross-source evidence, and critical-assessment tasks. | |
| QASC | Allen AI (AI2) | 2020 | paper | code | 9,980 grade-school science questions requiring retrieval and composition of two facts. | |
| ScholarQABench | University of Washington / Allen AI (AI2) | 2024 | paper | code | 2,967 expert-written literature-search queries with 208 long-form expert answers across computer science, physics, neuroscience, and biomedicine, scored on citation-supported synthesis. | |
| SciArena | Yale NLP / Allen AI (AI2) | 2025 | paper | code | Open platform where researchers vote head-to-head on model answers to literature-grounded science questions, paired with SciArena-Eval for meta-evaluating automated judges. | |
| SciAssess | DP Technology (deepmodeling) | 2024 | paper | code | Scientific literature analysis over biology, chemistry, materials, and medicine at three levels. | |
| SciBench | UCLA | 2023 | paper | code | 692 open-ended college-level chemistry, physics, and math problems requiring multi-step reasoning. | |
| ScienceQA | UCLA / Allen AI / ASU | 2022 | paper | code | ~21K multimodal multiple-choice science questions with lecture and chain-of-thought explanations. | |
| SciEval | Fudan University (OpenDFM) | 2023 | paper | code | ~18K multi-level questions testing scientific knowledge across chemistry, physics, and biology. | |
| SciFact | Allen AI (AI2) | 2020 | paper | code | 1,409 expert-written scientific claims verified against research abstracts, with rationales. | |
| SciKnowEval | Zhejiang University (HICAI) | 2024 | paper | code | Tens of thousands of problems across five cognitive levels in biology, chemistry, physics, and materials. | |
| SciQ | Allen AI (AI2) | 2017 | paper | — | — | 13,679 crowdsourced science multiple-choice questions across physics, chemistry, and biology with evidence. |
| SDE | Cornell / Princeton / Stanford / MIT / Toronto | 2025 | paper | code | Scenario-grounded scientific-discovery benchmark of 43 scenarios and 1,125 questions across biology, chemistry, materials, and physics, plus 8 project-level hypothesis, experiment-design, and interpretation tasks. | |
| SuperGPQA | ByteDance Seed / M-A-P | 2025 | paper | code | 26,529 graduate-level questions spanning 285 disciplines, including under-evaluated long-tail fields. | |
| TheoremQA | University of Waterloo (TIGER-Lab) | 2023 | paper | code | 800 questions applying 350+ theorems across math, physics, EE/CS, and finance. | |
| Xiezhi | Fudan University | 2023 | paper | code | 249,587 questions spanning 516 disciplines across 13 categories, continuously updated. |
Mathematics
Arithmetic, competition, olympiad, and frontier / formal-proof mathematics.
| Benchmark | Org | Year | Paper | Code | Stars | Description |
|---|---|---|---|---|---|---|
| CHAMP | MIT | 2024 | paper | code | 270 high-school competition problems annotated with concepts and problem-specific hints. | |
| CombiBench | Moonshot AI / Numina | 2025 | paper | code | 100 competition combinatorics problems formalized in Lean4, a domain underrepresented by existing formal benchmarks. | |
| FIMO | Peking University / Huawei | 2023 | paper | code | 149 IMO-shortlist problems formalized in Lean with informal statements for olympiad-level theorem proving. | |
| FormalMATH | SphereLab / M-A-P | 2025 | paper | code | 5,560 formally verified Lean4 statements from olympiad to undergraduate across algebra, calculus, and number theory. | |
| FrontierMath | Epoch AI | 2024 | paper | — | — | Hundreds of unpublished expert-crafted research-level math problems resistant to guessing. |
| FrontierMath Erdős | Epoch AI / University of Manchester | 2026 | paper | — | — | 68 Erdős conjectures open as of August 2026, curated for mathematical significance and difficulty, requiring autonomous Lean proofs or disproofs under a fixed budget. |
| FrontierMath: Open Problems | Epoch AI | 2026 | paper | — | — | Open research mathematics problems that resisted professional mathematicians, with public problem statements and paid-access programmatic verifiers for proposed solutions. |
| GSM-Symbolic | Apple | 2024 | paper | code | Symbolic templates over GSM8K that regenerate each problem with new names, values, and extra clauses to test whether grade-school math accuracy survives superficial perturbation. | |
| GSM8K | OpenAI | 2021 | paper | code | 8.5K grade-school arithmetic word problems requiring multi-step reasoning. | |
| HARDMath | Harvard | 2024 | paper | code | Graduate applied-math problems requiring asymptotic and approximation methods where leading LLMs score below 45%. | |
| HARP | UCL | 2024 | paper | code | US competition math problems (AMC/AIME/USAMO) with human-written ground-truth solutions. | |
| IMO-Bench | Google DeepMind | 2025 | paper | code | Olympiad-level suite testing final answers, proof-writing, grading, and Lean formal proofs, vetted by IMO medalists. | |
| Lean Workbook | Shanghai AI Lab | 2024 | paper | — | — | About 57K formal-informal Lean4 problem pairs auto-formalized from competition math. |
| LeanDojo | Caltech / NVIDIA | 2023 | paper | code | 98,734 theorems and proofs from Lean mathlib with premise annotations for retrieval-augmented theorem proving. | |
| MATH | UC Berkeley | 2021 | paper | code | 12,500 competition mathematics problems (AMC/AIME level) with step-by-step solutions. | |
| MATH-500 | OpenAI | 2023 | paper | code | 500-problem held-out subset of MATH widely used for LLM evaluation. | |
| MATH-Vision (MATH-V) | CUHK MMLab / Shanghai AI Lab | 2024 | paper | code | 3,040 real competition problems with visual context, spanning 16 mathematical disciplines and five difficulty levels. | |
| MathArena | ETH Zurich / INSAIT | 2025 | paper | code | Evaluates models only on competitions held after their release date to rule out contamination, covering 162 problems from seven competitions plus human-graded IMO proof writing. | |
| MathBench | Shanghai AI Laboratory | 2024 | paper | code | Hierarchical bilingual benchmark spanning arithmetic to college-level theory and application. | |
| MATHCHECK | XJTLU / HKUST | 2024 | paper | code | Checklist benchmark testing task generalization and reasoning robustness beyond end-to-end answer accuracy. | |
| MathOdyssey | NetMind.AI | 2024 | paper | code | 387 expert-crafted high-school, university, and olympiad-level math problems. | |
| MathQA | UW / Allen AI | 2019 | paper | code | 37K multiple-choice math word problems annotated with executable operation programs. | |
| MathVerse | CUHK MMLab / Shanghai AI Lab | 2024 | paper | code | 2,612 visual math problems in six diagram/text variants probing whether MLLMs truly interpret figures. | |
| MathVista | UCLA / University of Washington / Microsoft | 2023 | paper | code | Mathematical reasoning benchmark combining visual contexts (figures, charts, diagrams) with problems. | |
| miniF2F | OpenAI | 2021 | paper | code | 488 olympiad-level (AMC/AIME/IMO) problems formalized across multiple proof assistants. | |
| Omni-MATH | Peking University | 2024 | paper | code | 4,428 olympiad-level competition problems across 33+ subdomains and difficulty tiers. | |
| ProofBench | Vals AI | 2026 | paper | — | — | FormalProofBench evaluates advanced undergraduate and graduate mathematics through Lean 4 proof generation, with a 100-problem private test split and iterative tool feedback. |
| ProofNet | Yale University | 2023 | paper | code | 371 undergraduate theorems for autoformalization and formal proving in Lean. | |
| Putnam-AXIOM | Stanford | 2025 | paper | — | — | Putnam competition problems plus programmatically perturbed variations giving contamination-resistant unseen instances. |
| PutnamBench | UT Austin | 2024 | paper | code | 1,600+ Putnam competition problems formalized in Lean, Isabelle, and Coq. | |
| Riemann-bench | Surge AI | 2026 | paper | — | — | 25 private expert-authored research mathematics problems with independently verified, programmatically checkable answers, evaluated with access to coding tools and search. |
| We-Math | BUPT / Tencent | 2024 | paper | code | 6.5K visual math problems decomposed into 67 hierarchical knowledge concepts to diagnose reasoning versus memorization. |
Physics & Astronomy
Physics olympiad, graduate physics, computational physics, and astronomy.
| Benchmark | Org | Year | Paper | Code | Stars | Description |
|---|---|---|---|---|---|---|
| ABench-Physics | Zhejiang University / Ant Group | 2025 | paper | — | — | 500 hard static plus dynamic-variant physics problems testing reasoning and generalization robustness. |
| Astro-QA | ACMIS Lab | 2025 | paper | code | About 2,700 bilingual astronomy questions across six types spanning astrophysics, celestial mechanics, and astrometry. | |
| AstroMLab 1 | AstroMLab Collaboration | 2024 | paper | — | — | 4,425 astronomy multiple-choice questions from Annual Reviews testing LLM astronomical knowledge. |
| AstroVisBench | NSF-Simons CosmicAI Institute | 2025 | paper | code | Evaluates LLMs on end-to-end astronomy computing workflows and scientific result visualization. | |
| AtmosSci-Bench | HKUST | 2025 | paper | code | Atmospheric-science problems spanning dynamics, physics, hydrology, geophysics, and oceanography via templated questions. | |
| ClimaQA | UC San Diego | 2024 | paper | code | Graduate-level climate science QA generated from textbooks with climate scientists in the loop: 566 expert-validated Gold questions plus 3,000 synthetic Silver questions in MCQ, freeform, and cloze form. | |
| CMPhysBench | Chinese Academy of Sciences (IOP) | 2025 | paper | code | 520+ graduate condensed-matter physics problems with a partial-credit metric; top models score below 30%. | |
| CritPt | Argonne National Laboratory / UIUC (50+ physicists, 30+ institutions) | 2025 | paper | code | 71 composite research-project challenges and 190 modular checkpoints authored by 50+ active physicists, auto-graded via numerical, symbolic, and code evaluations. | |
| DiscoverPhysics | Princeton / NYU / Flatiron Institute / Polymathic AI | 2026 | paper | code | 22 simulated worlds with non-standard physics where an agent proposes initial conditions, observes noisy N-body trajectories, and submits a natural-language law plus a Python implementation. | |
| FEABench | Google Research / Harvard | 2025 | paper | code | Finite-element analysis problems solved end-to-end by driving the COMSOL Multiphysics API: 15 manually verified problems (Gold) plus 200 algorithmically parsed tasks (Large). | |
| Gravity-Bench-v1 | University of Toronto | 2025 | paper | code | Agents plan budgeted observations of simulated binary-star systems to discover the underlying gravitational physics. | |
| HiPhO | CUHK / Shanghai AI Lab | 2025 | paper | code | 13 recent physics olympiad exams with step-level grading and human medal-based comparison for (M)LLMs. | |
| LLM-SRBench | Virginia Tech / CMU | 2025 | paper | code | 239 problems across four science domains testing genuine LLM equation discovery over memorized formulas. | |
| NewtonBench | HKUST | 2025 | paper | code | 324 tasks across twelve physics domains testing LLM agents discovering scientific laws via interactive experimentation. | |
| PHYBench | Peking University | 2025 | paper | code | 500 original physics problems from high-school to olympiad level with expression-edit-distance scoring. | |
| PhysGym | KAUST | 2025 | paper | code | 97 simulated interactive physics-discovery problems with four controlled levels of prior knowledge. | |
| PHYSICS | Yale University | 2025 | paper | code | 1,297 expert-annotated university-level physics problems across six core areas with automated evaluation. | |
| PhysReason | Xi'an Jiaotong University | 2025 | paper | code | 1,200 physics problems with step-level automatic scoring for multi-step physics reasoning. | |
| PRL-Bench | Shanghai Jiao Tong University | 2026 | paper | — | — | End-to-end physics research benchmark built from ~100 recent Physical Review Letters papers across five subfields, each turned into a long-horizon task scored by an LLM-as-judge. |
| TPBench | University of Wisconsin-Madison | 2025 | paper | — | — | 57 theoretical physics problems in high-energy theory and cosmology, undergraduate to research level. |
| UGPhysics | HKUST | 2025 | paper | code | 5,520 bilingual undergraduate physics problems across 13 subjects with rule-based judging. |
Chemistry
Molecular property, reaction, retrosynthesis, safety, and chemical knowledge.
| Benchmark | Org | Year | Paper | Code | Stars | Description |
|---|---|---|---|---|---|---|
| ChemBench | LAMALab, University of Jena (Jablonka group) | 2024 | paper | code | 2,700+ curated questions probing LLM chemical knowledge and reasoning against expert chemists. | |
| ChemCoTBench | IDEA Research / PKU / CUHK | 2025 | paper | code | Step-wise chemical reasoning across molecular understanding, editing, optimization, and reaction prediction. | |
| ChemEval | USTC | 2024 | paper | code | Multi-level chemistry benchmark spanning 42 tasks across four progressive difficulty levels for LLMs. | |
| ChemLLMBench | University of Notre Dame et al. | 2023 | paper | code | Eight chemistry tasks including reaction prediction, retrosynthesis, and molecule captioning for LLMs. | |
| ChemSafetyBench | Peking University | 2024 | paper | — | — | Safety benchmark testing LLM handling of hazardous-chemical property, legality, and synthesis queries. |
| MaCBench | LAMALab (Jena) / IIT Delhi | 2024 | paper | code | 1,100+ image-question pairs probing multimodal LLM limitations across chemistry and materials workflows. | |
| MolCap-Arena | Genentech / UIUC | 2024 | paper | code | Battle-based benchmark scoring 20+ LLMs on molecule captions augmenting molecular property prediction. | |
| MoleculeQA | IDEA Research | 2024 | paper | code | 62K QA pairs over 23K molecules evaluating factual accuracy of LLM molecular comprehension. | |
| MolTextQA | UIUC | 2024 | paper | code | 500K QA pairs over 240K PubChem molecules evaluating molecule-structure-to-text understanding and retrieval. | |
| MOOSE-Chem | NTU Singapore / Shanghai AI Lab | 2024 | paper | code | Tests whether LLMs rediscover unseen chemistry hypotheses from 51 Nature/Science-level papers given background information. | |
| ScholarChemQA | KAUST / Notre Dame | 2024 | paper | code | 40K abstract-derived chemistry research questions exposing LLM limits in comprehending scholarly literature. | |
| SMolInstruct / LlaSMol | OSU NLP Group | 2024 | paper | code | Large-scale instruction dataset of 14 small-molecule chemistry tasks used to train and evaluate LlaSMol. | |
| TOMG-Bench | HK PolyU / Shanghai AI Lab | 2024 | paper | code | Evaluates LLMs on text-based open-domain molecule generation across editing, optimization, and customized generation. |
Materials Science
Crystals, materials property prediction, and materials-science knowledge.
| Benchmark | Org | Year | Paper | Code | Stars | Description |
|---|---|---|---|---|---|---|
| ALDbench | Argonne National Laboratory | 2024 | paper | code | Expert open-ended QA benchmark evaluating LLMs on atomic-layer-deposition synthesis for accuracy and specificity. | |
| AtomWorld | USTC / Shanghai AI Laboratory / UNSW | 2025 | paper | code | Evaluates LLM spatial reasoning on crystalline materials via ten atomic-structure editing actions across four modeling categories over CIF files with verifiable metrics. | |
| LLM4Mat-Bench | Princeton (Vertaix) | 2024 | paper | code | Largest benchmark for LLM materials property prediction over 1.9M crystals and 45 properties. | |
| MaScQA | IIT Delhi (M3RG) | 2024 | paper | code | 650 undergraduate-level materials science questions across 14 categories for evaluating LLM knowledge. | |
| MatCha | CUHK-Shenzhen | 2025 | paper | code | 1,500 expert questions across 21 tasks for materials characterization image understanding by multimodal models. | |
| MatSci-NLP | Mila / Universite de Montreal | 2023 | paper | code | Seven materials-science NLP tasks evaluating language models via a unified text-to-schema approach. | |
| MatSciBench | UCLA | 2025 | paper | code | College-level materials-science reasoning benchmark of 1,340 problems spanning six fields, including multimodal questions. | |
| MatText | LamaLab (Jena) / Intel Labs | 2024 | paper | code | Benchmarking framework evaluating language models on crystal property prediction across nine text representations. | |
| MatViX | Duke University | 2024 | paper | code | Benchmarks vision-language models on multimodal information extraction from visually-rich materials-science articles. | |
| MatVQA | Mila / Universite de Montreal | 2025 | paper | — | — | 1,325 questions testing multimodal models on materials imagery like microscopy and diffraction with multi-step reasoning. |
Biology & Life Sciences
Genomics, proteins, bioinformatics agents, protocols, and research biology.
| Benchmark | Org | Year | Paper | Code | Stars | Description |
|---|---|---|---|---|---|---|
| AssayBench | Genentech | 2026 | paper | code | Evaluates frontier LLMs and agents on gene-hit ranking for 1,920 public CRISPR screens across five phenotype classes, scored with chance-adjusted nDCG. | |
| BioCoder | Yale University (Gerstein Lab) | 2023 | paper | code | Fuzz-tested benchmark evaluating LLMs on generating bioinformatics code with cross-file dependencies and domain knowledge. | |
| BioLLMBench | UCLA | 2023 | paper | — | — | 2,160 runs evaluating GPT-4, Bard, and LLaMA across 24 bioinformatics tasks and metrics. |
| BioMaze | Peking University | 2025 | paper | code | 5.1K real-research pathway problems testing LLM reasoning over biological pathways and perturbations. | |
| BioML-bench | ScienceMachine | 2025 | paper | code | AI agents build end-to-end biomedical ML pipelines across protein, omics, imaging, and drug tasks. | |
| Biomni | Stanford | 2025 | paper | code | General biomedical agent with Biomni-Eval: 433 instances across 10 reasoning tasks. | |
| BioMysteryBench | Anthropic | 2026 | paper | — | — | 99 expert-written bioinformatics tasks over raw datasets, judged on the final biological conclusion, not the path. |
| BioPlanner | FutureHouse / Francis Crick / Oxford | 2023 | paper | code | BioProt dataset automatically evaluating LLMs on generating biology experimental protocols as executable pseudocode. | |
| BioProBench | Peking University | 2025 | paper | code | Tests LLMs on biological-protocol QA, step ordering, error correction, generation, and reasoning across 556K instances. | |
| BixBench | FutureHouse | 2025 | paper | code | Bioinformatics agents tackle 53 real analysis scenarios with ~300 open-answer research questions. | |
| CellVoyager | Stanford | 2025 | paper | code | CellBench: 76 scRNA-seq studies test agents predicting which analyses the authors performed. | |
| GeneBench-Pro | OpenAI | 2026 | paper | — | — | 129 messy, judgment-intensive computational-biology problems across ten genomics domains on realistic datasets. |
| GeneGPT | NCBI | 2023 | paper | code | Teaches LLMs to call NCBI Web APIs; adds GeneHop, evaluated on GeneTuring. | |
| GeneTuring | Columbia University | 2023 | paper | code | 16 genomics tasks, 1,600 questions probing LLM genomic knowledge and reasoning. | |
| Genome-Bench | Princeton / Stanford | 2025 | paper | — | — | 3,000+ genome-engineering multiple-choice questions mined from expert forum discussions for evaluating LLM reasoning. |
| GenoTEX | UIUC | 2024 | paper | code | Expert-curated gene-expression tasks: dataset selection, preprocessing, and gene-trait statistical analysis. | |
| HealthBench | OpenAI | 2025 | paper | — | — | 5,000 multi-turn physician-crafted health conversations scored by rubric criteria for LLM performance and safety. |
| LAB-Bench | FutureHouse | 2024 | paper | code | 2,400+ MCQs across literature, figures, databases, protocols, and DNA/protein sequence tasks. | |
| LABBench2 | FutureHouse (Edison Scientific) | 2026 | paper | code | Successor to LAB-Bench with ~1,900 biology-research tasks in realistic contexts (literature, figures, protocols, databases), giving a sharp difficulty jump over LAB-Bench. | |
| LifeSciBench | OpenAI | 2026 | paper | — | — | 750 expert-authored free-response life-science research tasks across seven biological domains, rubric-graded. |
| ProteinLMBench | Shanghai Jiao Tong University | 2024 | paper | code | 944 verified MCQs assessing LLM comprehension of protein sequences and descriptions. | |
| VirBench | Anthropic (with NCBI, Broad Institute, Pachter Lab) | 2026 | paper | — | — | 120 curated viral-sequence retrieval queries across ~40 pathogens testing whether LLM agents pull correct ground-truth sequence data from NCBI Virus. |
Agentic Science & AI Research
LLM agents that write research code, run data analyses, attempt autonomous discovery, and conduct ML/AI research.
| Benchmark | Org | Year | Paper | Code | Stars | Description |
|---|---|---|---|---|---|---|
| AAAR-1.0 | Penn State et al. | 2024 | paper | code | Expert-annotated tasks assessing LLMs on equation inference, experiment design, and paper-weakness identification. | |
| AIRS-Bench | Meta FAIR | 2026 | paper | code | 20 paper-derived tasks across language modeling, mathematics, bioinformatics, and time series testing research agents on idea generation, experimentation, analysis, and iterative refinement. | |
| AstaBench | Allen AI (AI2) | 2025 | paper | code | ICLR 2026 oral suite with 2,400+ problems across eleven benchmarks covering literature, coding, data analysis, and end-to-end scientific research. | |
| BLADE | University of Washington | 2024 | paper | code | Twelve datasets and research questions evaluating agents' analytical decisions against expert ground truth. | |
| CORE-Bench | Princeton | 2024 | paper | code | 270 tasks from 90 papers testing agents on computationally reproducing published scientific results. | |
| Curie | University of Michigan | 2025 | paper | code | Framework and 46-question benchmark for rigorous, automated scientific experimentation across four CS domains. | |
| DiscoveryBench | Allen AI (AI2) | 2024 | paper | code | 264 real plus 903 synthetic tasks for data-driven hypothesis discovery across six domains. | |
| DiscoveryWorld | Allen AI (AI2) | 2024 | paper | code | Simulated environment with 120 tasks requiring full cycles of hypothesis, experiment, and analysis. | |
| DSBench | UT Dallas / Tencent AI Lab | 2024 | paper | code | 540 realistic data-analysis and data-modeling tasks sourced from ModelOff and Kaggle competitions. | |
| EXP-Bench | University of Michigan | 2025 | paper | — | — | Benchmarks agents on designing, implementing, and analyzing end-to-end AI research experiments from publications. |
| HeurekaBench | EPFL (MLBio Lab) | 2026 | paper | code | Builds benchmarks of open-ended research questions grounded in real studies and their code to evaluate end-to-end AI co-scientist agents (instantiated as sc-HeurekaBench in single-cell biology). | |
| InnovatorBench | GAIR-NLP (SJTU) | 2025 | paper | code | Evaluates agents on end-to-end innovative LLM-research tasks like data construction, loss design, and reward design. | |
| LitQA2 | FutureHouse | 2024 | paper | — | — | 248 expert-written multiple-choice questions requiring retrieval of a specific scientific paper and reasoning over its full text, with 199 questions publicly released. |
| LiveIdeaBench | Renmin University of China | 2024 | paper | code | Benchmarks scientific idea generation from minimal keyword context across five dimensions: originality, feasibility, fluency, flexibility, and clarity. | |
| LMR-Bench | UT Dallas | 2025 | paper | code | 28 tasks from 23 NLP papers testing whether agents reproduce masked research code, verified by unit tests. | |
| MLAgentBench | Stanford | 2023 | paper | code | 13 ML experimentation tasks where agents read, write, and execute code to improve performance. | |
| MLE-bench | OpenAI | 2024 | paper | code | 75 Kaggle ML-engineering competitions testing agents against human leaderboards. | |
| MLGym | Meta | 2025 | paper | code | Gym framework with 13 open-ended AI research tasks spanning vision, NLP, RL, and game theory. | |
| MLR-Bench | National University of Singapore | 2025 | paper | code | 201 workshop-derived tasks evaluating agents across idea generation, experimentation, and paper writing. | |
| MLRC-Bench | University of Michigan | 2025 | paper | code | Benchmarks agents on proposing and coding novel methods for seven recent ML research competition problems. | |
| Paper2Code | KAIST / DeepAuto.ai | 2025 | paper | code | Multi-agent framework and benchmark generating functional code repositories that reproduce ML research papers. | |
| PaperBench | OpenAI | 2025 | paper | — | — | Agents replicate 20 ICML 2024 papers from scratch, graded on 8,316 rubric criteria. |
| RE-Bench | METR | 2024 | paper | code | Seven open-ended ML research-engineering environments comparing agents against 61 human experts. | |
| ResearchBench | Shanghai AI Lab / NTU | 2025 | paper | — | — | Benchmarks scientific discovery via inspiration retrieval, hypothesis composition, and ranking across twelve disciplines. |
| ResearchCodeBench | Stanford University | 2025 | paper | code | Challenges LLMs to implement novel contributions from recent ML papers by completing TODO code snippets. | |
| RExBench | Boston University | 2025 | paper | code | Twelve tasks where agents autonomously implement novel research extensions to existing papers' codebases. | |
| SciAgentGym | Fudan NLP Group | 2026 | paper | code | Agentic science benchmark pairing an environment of 1,780 domain-specific tools across natural-science disciplines with a tiered suite from elementary tool actions to long-horizon workflows. | |
| SciCode | UIUC / Princeton / Argonne National Lab | 2024 | paper | code | 80 real research coding problems across 16 natural-science subfields, split into 338 subproblems. | |
| ScienceAgentBench | Ohio State (OSU-NLP) | 2024 | paper | code | 102 data-driven discovery tasks from 44 peer-reviewed papers, evaluating agents that write Python programs. | |
| ScienceWorld | University of Arizona / Microsoft Research / Allen AI (AI2) | 2022 | paper | code | Interactive text environment with 30 elementary-science tasks where agents must run the experiment — melt a substance, test conductivity, breed a plant — instead of reciting the answer. | |
| Scientist-Bench | University of Hong Kong | 2025 | paper | code | Evaluates fully autonomous idea-to-paper research systems across CV, NLP, data mining, and IR against expert papers. | |
| SciReplicate-Bench | King's College London | 2025 | paper | code | Benchmarks agents on reproducing executable code for algorithms described in 36 recent research papers. | |
| SUPER | Allen AI (AI2) | 2024 | paper | code | Evaluates agents on setting up and executing tasks from research code repositories. | |
| Terminal-Bench-Science | Stanford University / Laude Institute / Terminal-Bench-Science Team | 2026 | paper | code | 70 expert-authored research workflows in v0.1.0 across life, physical, earth, mathematical, and engineering sciences, executed in terminal environments and graded by verifier tests. |
Contributing
Found a missing benchmark or an error? Edit only data/benchmarks.yaml and open a PR — the README, website, and examples regenerate automatically. See CONTRIBUTING.md for the schema and inclusion bar.
License
Released under the MIT License. Each entry links to its original paper and code; benchmark metadata is drawn from public sources.
Explore related projects
affaan-m/ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
301,376 starsNousResearch/hermes-agent
The agent that grows with you
262,738 starsmultica-ai/andrej-karpathy-skills
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
232,225 starsfirecrawl/firecrawl
Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥
200,932 stars