Claude Opus 4.6
Anthropic's flagship model leads on agentic coding, enterprise knowledge work, and long-context retrieval with a 1M-token window, 128K output, and agent teams at $5/$25 per million tokens.
James Kowalski
AI Benchmarks & Tools Analyst
James is a software engineer turned tech writer who spent six years building backend systems at a fintech startup in Chicago before pivoting to full-time analysis of AI tools and infrastructure. His engineering background means he doesn't just read the spec sheet - he runs the benchmarks, profiles the latency, and checks whether the marketing claims hold up under real workloads.
He studied Computer Science at the University of Illinois at Urbana-Champaign, where he first got hooked on natural language processing during a senior research project on sentiment analysis. He later completed a certificate in data journalism from Northwestern's Medill School.
At Awesome Agents, James owns the leaderboards and tool comparison coverage. He maintains the site's benchmark tracking methodology and is the person who actually runs the numbers before publishing any ranking. He is also an open-source advocate and contributes to several projects in the LLM inference space.
Based in Chicago, IL.
Articles by James Kowalski
GPT-5.3 Codex
OpenAI's most capable agentic coding model combines frontier code generation with GPT-5-class reasoning, 400K context, and a 77.3% Terminal-Bench 2.0 score.
Gemini 3.1 Pro
Google DeepMind's Gemini 3.1 Pro leads on 13 of 16 benchmarks with 77.1% ARC-AGI-2, 94.3% GPQA Diamond, and a 1M-token context window at $2/M input.
Codex vs Claude Code vs OpenCode: Three Terminal Coding Agents, Compared
A detailed feature comparison of OpenAI Codex, Anthropic Claude Code, and OpenCode - the three terminal-based AI coding agents competing to become every developer's default tool.
The Best AI Image Generation Models You Can Run on Your Own GPU in 2026
A comprehensive guide to the best image generation models that run locally on consumer GPUs with 16GB of VRAM, from FLUX and Stable Diffusion to video generation and upscaling.
Claude Max Users Say Opus 4.6 Burns Through $200/Month Plans in Under Two Hours
Developers on Anthropic's $100-$200/month Claude Max plans report that Opus 4.6's adaptive thinking and 1M token context window consume session quotas up to 9x faster than before, with some hitting limits in 15 minutes.
LLMfit: Stop Guessing Which LLM Your Hardware Can Actually Run
LLMfit is a Rust-based terminal tool that scans your hardware and scores 157 LLMs across 30 providers for compatibility, speed, and quality. Here is why it matters.
Best AI Cybersecurity Ranges and Red Teaming Platforms in 2026
A comprehensive roundup of 15+ platforms for practicing AI security, LLM red teaming, prompt injection, and AI agent exploitation - from free CTFs to enterprise cyber ranges.
Best AI Coding CLI Tools in 2026: 7 Terminal Agents Compared
An April 2026 comparison of the top AI coding CLI tools - Claude Code, Gemini CLI, Codex CLI, Aider, OpenCode, Warp, and Amp - with pricing, benchmarks, and real-world performance.
Home GPU LLM Leaderboard: Best Open Source Models by VRAM Tier with Token/s Benchmarks
Rankings of the best open source LLMs you can run on home hardware - RTX 4090, RTX 3090, Apple M3/M4 Max - organized by VRAM tier with real-world token/s benchmarks and quality scores.
Do AI Benchmarks Still Matter? The Evidence for and Against Public Leaderboards
A data-driven look at benchmark contamination, leaderboard gaming, and whether public AI benchmarks can still tell us anything useful about model capabilities.
Long-Context Benchmarks Leaderboard: MRCR, RULER, and LongBench v2
Rankings of the best AI models for long-context tasks, measuring retrieval accuracy, reasoning, and comprehension across massive context windows from 128K to 10M tokens.
