llm benchmarking tools
Recent window: last 5.4 months (2026-05-01 → 2026-10-12), compared with the prior 5.4 months.
LLM benchmarking tools evaluate, compare, and rank the performance of large language models across diverse tasks, benchmarks, and hardware setups. They are built for AI engineers, data scientists, and technical teams looking to select the most capable and cost-effective models for production. Unlike general AI observability or prompt management platforms, these tools focus specifically on standardized testing suites, head-to-head arenas, and repeatable evaluation metrics.
Pulled from real Hacker News comment threads on this niche's launches.
Members
| Name | Source | Upvotes ▲ | Launched |
|---|---|---|---|
| jev-capability-atlas | GITHUB | 24 | 2026-09-18 |
| laya-vs-jev-arena | GITHUB | 30 | 2026-09-21 |
| I built "AI Wattpad" to eval LLMs on fiction | HN | 32 | 2026-02-03 |
| Watch LLMs play 21,000 hands of Poker | HN | 36 | 2026-01-08 |
| The-Last-Math-Competition | GITHUB | 40 | 2026-09-11 |
| Solving the ~95% legislative coverage gap using LLM's | HN | 41 | 2025-12-16 |
| aa-agentperf-local | GITHUB | 48 | 2026-09-26 |
| paperbench-expanded | GITHUB | 51 | 2026-10-08 |
| swe-sweep | GITHUB | 55 | 2026-10-01 |
| A new benchmark for testing LLMs for deterministic outputs | HN | 60 | 2026-04-29 |
| DishwasherBench | GITHUB | 66 | 2026-10-12 |
| Parsimony | HN | 77 | 2026-10-13 |
| Pac-Bench | HN | 79 | 2026-09-28 |
| FrontierHarness Eval | HN | 82 | 2026-09-02 |
| MathmoBench | GITHUB | 88 | 2026-09-23 |
| jev-arena | GITHUB | 98 | 2026-09-19 |
| TetrisBench | HN | 111 | 2026-01-26 |
| Pelican-bicycle alternatives | HN | 131 | 2026-09-14 |
| OCR Arena | HN | 216 | 2025-11-21 |
| QuickCompare by Trismik | PH | 229 | 2026-04-26 |
| Find the best local LLM for your hardware, ranked by benchmarks | HN | 283 | 2026-05-15 |
| PinchBench | PH | 307 | 2026-03-26 |