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
ERNIE 5.1

ERNIE 5.1

Baidu's ERNIE 5.1 is a text-focused MoE model that claims the top Chinese model slot on LMArena with 800B parameters built at 6% of comparable training costs.

MAI-Transcribe-1.5

MAI-Transcribe-1.5

Microsoft's second-generation speech-to-text model with 2.4% WER, 43-language support, keyword biasing, and 5x faster long-audio processing than comparable accuracy models.

Voxtral TTS

Voxtral TTS

Mistral's first open-weight text-to-speech model: 4B parameters, 70ms latency, voice cloning from 3 seconds of audio, and a 68.4% win rate over ElevenLabs Flash v2.5 in blind tests.

GPT-5.1

GPT-5.1

GPT-5.1 is OpenAI's November 2025 coding and agentic flagship with 400K context, configurable reasoning effort, and 76.3% on SWE-bench Verified.

Qwen-RobotManip

Qwen-RobotManip

Alibaba's generalist VLA model for robotic manipulation, built on Qwen3.5-4B with a DiT action decoder, trained on 38,100+ hours of open-source data, and ranked first on the RoboChallenge generalist track.

Qwen3.7-Plus

Qwen3.7-Plus

Alibaba's first multimodal agent model, combining GUI grounding (ScreenSpot Pro 79.0), 1M-token context, and text-plus-vision input at $0.40/M tokens.

AI Coding Tools Pricing - June 2026

AI Coding Tools Pricing - June 2026

June 2026: GitHub Copilot moves to AI-Credits billing, Windsurf becomes Devin Desktop, and Amazon Q Developer enters EOL. Cline cheapest; Copilot Pro best value at $10/month.

GLM-5.2

GLM-5.2

Z.ai's GLM-5.2 is a 744B open-weight MoE model with a 1M token context window, MIT license, and first-day support for eight coding agents at roughly 1/10th the cost of US frontier models.