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
OpenAI o3

OpenAI o3

OpenAI's most advanced reasoning model, built for math, science, coding, and visual tasks, with 200K context and adaptive chain-of-thought at $2/$8 per million tokens.

OpenAI o4-mini

OpenAI o4-mini

OpenAI o4-mini is a fast, cost-efficient reasoning model in the o-series, delivering near-o3 performance on math and coding benchmarks at roughly 10x lower cost.

NVIDIA Ising

NVIDIA Ising

NVIDIA Ising is the world's first open AI model family for quantum computing - a 35B MoE VLM for quantum processor calibration and 3D CNN decoders for real-time surface code error correction.

Qwen3.6-27B

Qwen3.6-27B

Qwen3.6-27B is a 27B dense open-weight multimodal model from Alibaba that scores 77.2% on SWE-bench Verified - beating Alibaba's own 397B MoE - under Apache 2.0.

ZAYA1-8B

ZAYA1-8B

Zyphra's ZAYA1-8B is an 8.4B-parameter MoE reasoning model with only 760M active parameters that matches DeepSeek-R1-0528 on math and coding benchmarks while running at a fraction of the compute cost.

GPT-Realtime-2

GPT-Realtime-2

OpenAI's second-generation real-time audio model with GPT-5-class reasoning, 128K context, five reasoning levels, and parallel tool calling - now generally available in the Realtime API.

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.

GPT-5.5 Instant

GPT-5.5 Instant

OpenAI's new default ChatGPT model cuts hallucinations by 52.5% and adds Gmail-backed personalization while maintaining the low latency of its predecessor.