PostgresBench is a benchmarking tool designed for Postgres services, emphasizing reproducibility in performance testing. ClickHouse and Postgres together create a unified data stack, optimizing transactional and analytical workloads for enhanced speed and efficiency.

Fable 5 successfully plays a scry land and examines the top card of the deck, while Gemini 3.5 performs a complex turn involving scry, discover, and tutor effects. The benchmark tests the capability of LLMs to play Magic: The Gathering without relying on a rules engine, suggesting that high-performing LLMs should not require one.

Computer use requires 53 steps and 551,000 tokens, while structured APIs only need 8 calls and 12,000 tokens. This results in computer use being 45 times more expensive than using structured APIs.

LamBench is a benchmarking tool designed to evaluate the performance of language models across various dimensions such as intelligence, speed, and elegance. It provides a structured framework for identifying and addressing performance issues in AI models.

OpenClaw Arena provides a public benchmark to assess AI agents' ability to complete real workflows. Users can compare model performance and cost-effectiveness on actual agent tasks.

Qwen3.5-9B achieves a score of 93.8%, closely trailing GPT-5.4, while operating entirely on a MacBook Pro M5 at 25 tok/s and 765ms TTFT, using 13.8 GB of unified memory. The benchmark evaluates 96 tests across 15 suites focusing on tool use, security classification, and event deduplication, with zero API costs and full data privacy.