|
2026 |
Agentic Coding 2.0 leaderboard |
AI |
|
|
2026 |
DeepSWE v1.1 |
Datacurve |
|
|
2026 |
DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle |
Tang et al. |
arXiv |
|
2026 |
FrontierCode |
Cognition |
|
|
2026 |
LibraryDesignBench leaderboard |
AI |
|
|
2026 |
Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading |
Li et al. |
arXiv |
|
2026 |
MirrorCode |
AI |
|
|
2026 |
NL2Repo-Bench: Towards Long-Horizon Repository Generation Evaluation of Coding Agents |
Ding et al. |
arXiv |
|
2026 |
Senior SWE-bench leaderboard |
AI |
|
|
2026 |
SlopCode Bench leaderboard |
AI |
|
|
2026 |
SWE-bench CLI leaderboard |
AI |
|
|
2026 |
SWE-bench leaderboards |
team |
|
|
2026 |
SWE-Bench Pro V2 |
AI |
|
|
2026 |
Terminal-Bench (site and leaderboard) |
(Stanford |
|
|
2026 |
Terminal-Bench 3.0 |
team |
|
|
2026 |
Terminal-Bench 4.0 leaderboard |
Institute |
|
|
2026 |
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces |
Merrill et al. |
arXiv |
|
2026 |
Why we no longer evaluate SWE-bench Verified |
OpenAI |
|
|
2025 |
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions |
Zhuo et al. |
arXiv |
|
2025 |
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings |
Quan et al. |
arXiv |
|
2025 |
Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering |
Si et al. |
arXiv |
|
2025 |
KernelBench: Can LLMs Write Efficient GPU Kernels? |
Ouyang et al. |
arXiv |
|
2025 |
LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? |
Zheng et al. |
arXiv |
|
2025 |
Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving |
Zan et al. |
arXiv |
|
2025 |
SWE-bench Goes Live! |
Zhang et al. |
arXiv |
|
2025 |
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks? |
Deng et al. |
arXiv |
|
2025 |
SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering? |
Miserendino et al. |
arXiv |
|
2025 |
SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents |
Rashid et al. |
arXiv |
|
2025 |
SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents |
Badertdinov et al. |
arXiv |
|
2025 |
SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents |
Mündler et al. |
arXiv |
|
2025 |
The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of Reason |
Liang et al. |
arXiv |
|
2024 |
Aider LLM Leaderboards (Polyglot) |
Aider |
|
|
2024 |
Commit0: Library Generation from Scratch |
Zhao et al. |
arXiv |
|
2024 |
Introducing SWE-bench Verified |
OpenAI |
|
|
2024 |
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code |
Jain et al. |
arXiv |
|
2024 |
Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study |
Li et al. |
arXiv |
|
2024 |
Raising the bar on SWE-bench Verified with Claude 3.5 Sonnet |
Anthropic |
|
|
2024 |
SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains? |
Yang et al. |
arXiv |
|
2024 |
SWE-Bench+: Enhanced Coding Benchmark for LLMs |
Aleithan et al. |
arXiv |
|
2024 |
SWE-bench: Can Language Models Resolve Real-World GitHub Issues? |
Jimenez et al. |
arXiv |
|
2023 |
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion |
Ding et al. |
arXiv |
|
2023 |
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback |
Yang et al. |
arXiv |
|
2023 |
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems |
Liu et al. |
arXiv |
|
2022 |
Competition-Level Code Generation with AlphaCode |
Li et al. |
Science |
|
2022 |
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation |
Lai et al. |
arXiv |
|
2021 |
Evaluating Large Language Models Trained on Code |
Chen et al. |
arXiv |
|
2021 |
Measuring Coding Challenge Competence With APPS |
Hendrycks et al. |
arXiv |
|
2021 |
Program Synthesis with Large Language Models |
Austin et al. |
arXiv |