LLM benchmarking

2 items

ARTICLE↑ trendingReddit r/LocalLLaMA·4/17/2026

Qwen 3.6 35B crushes Gemma 4 26B on my tests

The author conducted a personal benchmark where Qwen 3.6 35B significantly outperformed Gemma 4 26B across tests evaluating agentic capabilities, coding, image-to-text synthesis, instruction following, and reasoning. Qwen fixed more issues, showed fewer regressions, and completed the tasks in less time, indicating superior overall performance.

LLM benchmarking Gemma Agentic AI Qwen

ARTICLEDEV.to AI·4/21/2026

3 Things I Learned Benchmarking Claude, GPT-4o, and Gemini on Real Dev Work

This article details a benchmark comparing Claude 3.5 Sonnet, GPT-4o, and Gemini 2.0 Flash on five real-world developer tasks, using PromptFuel to measure token usage and cost. It highlights that relying on gut feeling for LLM selection can be costly and presents initial findings on performance beyond just speed.

AI models LLM benchmarking GPT-4o Cost Optimization