James Kowalski

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
Claude Sonnet 4.6

Claude Sonnet 4.6

Anthropic's mid-tier model matches Opus 4.6 on computer use, leads all models on office productivity tasks, and costs five times less than the flagship at $3/$15 per million tokens.

AI Browser Automation in 2026: Top 6 Tools Compared

AI Browser Automation in 2026: Top 6 Tools Compared

A hands-on comparison of the top AI browser automation tools in 2026, covering Browser Use, Stagehand, Playwright MCP, Skyvern, Browserbase, and Firecrawl - with pricing, benchmarks, and pick-by-use-case.

MiniMax M2.7

MiniMax M2.7 is a 230B MoE coding agent that handles 30-50% of MiniMax's own RL research workflow, scoring 56.22% on SWE-Pro and 78% on SWE-bench Verified at $0.30/M input tokens.

Cohere Command A Vision

Cohere Command A Vision

Cohere Command A Vision is a 112B multimodal model that leads on document and OCR benchmarks, beating GPT-4.1 across seven visual understanding tasks.

Mistral Small 4

Mistral Small 4

Mistral AI's unified MoE model - 119B total parameters, 6B active per token, 128 experts, 256K context, configurable reasoning, Apache 2.0 license.

AMD Instinct MI455X

AMD Instinct MI455X

AMD's flagship CDNA 4 AI GPU with 432 GB HBM4, 40 PFLOPS FP4, and 2nm chiplet design targeting H2 2026.

Apple M5 Max

Apple M5 Max

Apple's flagship SoC with 40-core GPU, per-core Neural Accelerators, 614 GB/s bandwidth, and 4x AI performance over M4 Max.

Meta MTIA 300

Meta MTIA 300

Meta's first mass-deployed RISC-V AI accelerator - 1.2 PFLOPS FP8, 216 GB HBM, powering Facebook and Instagram at scale.

NVIDIA Vera Rubin NVL144

NVIDIA Vera Rubin NVL144

NVIDIA's Rubin-based rack system with 144 R200 GPUs, 3.6 ExaFLOPS FP4, 20 TB HBM4 - arriving H2 2026.