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
LongCat-2.0

LongCat-2.0

Meituan's 1.6T-parameter open-source MoE coding model, trained end-to-end on 50,000 domestic Chinese ASICs, with native 1M token context and a 59.5 SWE-bench Pro score.

Gemini Omni Flash

Gemini Omni Flash

Google DeepMind's multimodal video generation model that creates 10-second clips with native audio from text, images, or video inputs - and lets you refine results through conversation.

Holo3-35B-A3B

Holo3-35B-A3B

H Company's open-weight sparse MoE vision-language model purpose-built for desktop computer use, scoring 82.6% on OSWorld-Verified with only 3B active parameters.

Best AI SDKs for App Development in 2026

Best AI SDKs for App Development in 2026

Compare five leading AI developer SDKs - Vercel AI SDK 7, LangChain, LlamaIndex, Mastra, and PydanticAI - and find the right framework for your next AI-powered app.

Claude Sonnet 5

Claude Sonnet 5

Anthropic's latest Sonnet-class model brings near-Opus coding performance to mid-tier pricing, with major agentic search and computer use gains over Sonnet 4.6.

GPT-5.6

GPT-5.6

OpenAI's GPT-5.6 family - Sol, Terra, and Luna - sets a new Terminal-Bench 2.1 record at 91.9% with subagent Ultra mode, but remains locked to ~20 government-vetted partners as of launch.

Embedding Models Pricing - June 2026

Embedding Models Pricing - June 2026

Embedding API cost comparison: voyage-4-lite, OpenAI 3-small, Jina v3, and Amazon Titan V2 tie at $0.02/MTok. Gemini Embedding 2 now GA, Cohere Embed 4 dimensions corrected to 1,536 default.