JeroenVanGorsel/stock-bench
Stock Bench is an LLM benchmarking system where LLMs compete in a prediction market, making bets on how well they’ll perform on tasks. Thus making it possible to measure each model's performance, as well as how accurate and self-aware each model is about their own performance.
Stars
—
Forks
—
Language
Python
License
—
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/JeroenVanGorsel/stock-bench"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
stanfordnlp/axbench
Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
aidatatools/ollama-benchmark
LLM Benchmark for Throughput via Ollama (Local LLMs)
LarHope/ollama-benchmark
Ollama based Benchmark with detail I/O token per second. Python with Deepseek R1 example.
qcri/LLMeBench
Benchmarking Large Language Models
THUDM/LongBench
LongBench v2 and LongBench (ACL 25'&24')