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
Helios: Real-Time 14B Open-Source Video Model

Helios: Real-Time 14B Open-Source Video Model

Helios is a 14B open-source autoregressive diffusion model that generates minute-long videos at 19.5 FPS on a single H100, matching 1.3B distilled model speeds at full 14B quality.

Best AI Tools for Real Estate Pros in 2026

Best AI Tools for Real Estate Pros in 2026

A tested breakdown of the best AI tools for real estate professionals in 2026, covering CRM, virtual staging, property descriptions, market analysis, and lead generation.

Best AI for Data Analysis - March 2026

Best AI for Data Analysis - March 2026

Claude Opus 4.6 leads LiveSQLBench at 36.4% while ChatGPT's Code Interpreter dominates spreadsheet workflows - picking the right model depends on whether you need SQL, CSV analysis, or visualization.

Best AI for Creative Writing - March 2026

Best AI for Creative Writing - March 2026

Claude Opus 4.6 leads the Mazur Writing Benchmark at 8.56 while Claude Sonnet 4.6 tops EQ-Bench Creative Writing with 1936 Elo, making Anthropic the clear winner for fiction.

GPU Cloud Pricing Comparison - March 2026

GPU Cloud Pricing Comparison - March 2026

Current GPU cloud pricing from 19 providers compared - H100 from $1.25/hr (spot) to $6.98/hr, A100 from $0.29/hr, H200, B200, RTX 4090, with monthly costs, user reviews, and reliability data.

Xiaomi MiMo-V2-Pro - Agentic 1T MoE Model

Xiaomi MiMo-V2-Pro - Agentic 1T MoE Model

Xiaomi's MiMo-V2-Pro is a 1-trillion-parameter MoE model with 42B active params, 1M context, and agentic coding performance that rivals Claude Sonnet 4.6 at a fraction of the cost.

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.

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.

FLUX.2 [max]

FLUX.2 [max]

Black Forest Labs' top-tier image model - highest quality, best prompt adherence, grounded generation with web context, and professional-grade editing consistency at $0.07 per megapixel.

FLUX.2 [flex]

FLUX.2 [flex]

Black Forest Labs' developer-controlled image model with adjustable steps and guidance - maximum precision for typography, UI mockups, and detail-critical workflows.

FLUX.2 [pro]

FLUX.2 [pro]

Black Forest Labs' production-grade image generation API - state-of-the-art quality at affordable pricing, optimized for commercial workflows with 4MP output.

FLUX.2 [dev]

FLUX.2 [dev]

Black Forest Labs' 32B open-weight image model - the most powerful open alternative for text-to-image, editing, and multi-reference generation with up to 10 reference images.

FLUX.2 [klein] 9B

FLUX.2 [klein] 9B

Black Forest Labs' 9B parameter distilled image model - sub-second generation with higher quality than the 4B variant, 19.6 GB VRAM, non-commercial license.

FLUX.2 [klein] 4B

FLUX.2 [klein] 4B

Black Forest Labs' fastest open-source image generation model - 4B parameters, Apache 2.0 license, sub-second generation on consumer GPUs with 13GB VRAM.

Best AI Models for RAG - March 2026

Best AI Models for RAG - March 2026

Gemini 2.5 Flash leads RAG generation accuracy at 87% on LIT-RAGBench, while o3 tops multi-hop reasoning and Qwen3-235B is the best open-source option.

Italian-Legal-BERT

Italian-Legal-BERT

Italian-Legal-BERT is a 110M-parameter domain-adapted BERT model for Italian legal NLP, trained on 3.7GB of court decisions from Italy's National Jurisprudential Archive.

NVIDIA Nemotron 3 Super 120B-A12B

NVIDIA Nemotron 3 Super 120B-A12B

NVIDIA Nemotron 3 Super is a 120B-parameter open model with 12B active at inference, combining Mamba-2, LatentMoE, and Multi-Token Prediction for agentic workloads with a 1M token context window.

AI Coding Tools Pricing - March 2026

AI Coding Tools Pricing - March 2026

Monthly costs for GitHub Copilot, Cursor, Windsurf, Claude Code, Devin, Cline, and 5 more AI coding assistants compared across free, pro, and team tiers.

Embedding Models Pricing - March 2026

Embedding Models Pricing - March 2026

Embedding API costs compared for OpenAI, Cohere, Voyage AI, Google, Mistral, and Jina - normalized to price per million tokens with MTEB quality scores.

Grok 4 - xAI's Flagship Reasoning Model

Grok 4 - xAI's Flagship Reasoning Model

Grok 4 is xAI's frontier reasoning model, the first to break 50% on Humanity's Last Exam, with a 256K context window, $3/M input pricing, and a Heavy multi-agent variant built on 200,000 GPUs.

Best AI Presentation Tools in 2026

Best AI Presentation Tools in 2026

Compare the best AI presentation tools of 2026 including Gamma, Beautiful.ai, Tome, and Canva AI with pricing, features, and design quality.

Best AI Note-Taking Apps in 2026

Best AI Note-Taking Apps in 2026

Compare the best AI note-taking apps of 2026 including Notion AI, Google NotebookLM, Obsidian, and Mem with pricing, features, and recommendations.

Best AI Data Analysis Tools in 2026

Best AI Data Analysis Tools in 2026

Compare the best AI data analysis tools of 2026 including Julius AI, ChatGPT Code Interpreter, and Claude analysis with pricing and features.

Best AI Meeting Assistants in 2026

Best AI Meeting Assistants in 2026

Compare the best AI meeting assistants of 2026 including Otter, Fireflies, Granola, and tl;dv with pricing, features, and recommendations.

75% of AI Coding Agents Break Working Code Over Time

75% of AI Coding Agents Break Working Code Over Time

Alibaba's SWE-CI benchmark tested 18 AI models on 100 real codebases across 233 days of maintenance. Most agents accumulate technical debt and break previously working code. Only Claude Opus stays above 50% zero-regression.

Qwen3.5-27B Distilled vs Base: What You Gain

Qwen3.5-27B Distilled vs Base: What You Gain

Comparing the Claude Opus reasoning-distilled Qwen3.5-27B against the base model - what chain-of-thought distillation adds and what it costs in context, multimodal, and reliability.

GPT-5.4

GPT-5.4

OpenAI's most capable frontier model combines native computer use, 1M-token context, and three variants at $2.50/$15 per million tokens.

Best LLM Observability Tools in 2026

Best LLM Observability Tools in 2026

A data-driven comparison of Langfuse, LangSmith, Helicone, Braintrust, and Phoenix - the top LLM observability platforms for teams building AI in production.

Best GEO Tools in 2026 - Top 5 Platforms Ranked

Best GEO Tools in 2026 - Top 5 Platforms Ranked

A ranked review of the five best Generative Engine Optimization platforms in 2026 - from full-stack content generation to enterprise monitoring, with pricing, benchmarks, and honest trade-offs.

GLM-5 - China's 744B Open-Source Frontier Model

GLM-5 - China's 744B Open-Source Frontier Model

Zhipu AI's GLM-5 is a 744B MoE model with 40B active parameters, trained on 100K Huawei Ascend chips, scoring 77.8% SWE-bench and 50 on Artificial Analysis Intelligence Index - MIT licensed.

Qwen3.5-0.8B

Qwen3.5-0.8B

Qwen3.5-0.8B is the smallest natively multimodal model in the Qwen 3.5 family - 0.8B parameters handling text, images, and video with 262K context. MathVista 62.2, OCRBench 74.5. Apache 2.0.

Qwen3.5-2B

Qwen3.5-2B

Qwen3.5-2B is a 2B dense multimodal model with 262K context, thinking mode, and native vision including video understanding. OCRBench 84.5, VideoMME 75.6. Apache 2.0 licensed.

Qwen3.5-4B

Qwen3.5-4B

Qwen3.5-4B is a 4B dense multimodal model that matches Qwen3-30B on MMLU-Pro and beats GPT-5-Nano on vision benchmarks. Runs on 8GB VRAM, Apache 2.0 licensed, 262K-1M context.

Qwen3.5-9B

Qwen3.5-9B

Qwen3.5-9B is a 9B dense model that outperforms Qwen3-30B on most benchmarks and beats GPT-5-Nano on vision tasks. Natively multimodal with 262K-1M context, Apache 2.0 licensed.

AWS Trainium3 - Amazon's 3nm AI Accelerator

AWS Trainium3 - Amazon's 3nm AI Accelerator

Complete specs, benchmarks, and analysis of AWS Trainium3 - Amazon's TSMC 3nm AI chip with 2.52 PFLOPS FP8, 144GB HBM3e, and NeuronLink-v4, powering Anthropic's Claude through Project Rainier.

Etched Sohu - Transformer-Only Inference ASIC

Etched Sohu - Transformer-Only Inference ASIC

Full specs and critical analysis of the Etched Sohu - a transformer-specific ASIC claiming 500K+ tokens/sec on Llama 70B, built on TSMC 4nm with 144GB HBM3E. Bold claims, but no independent benchmarks yet.

Hailo-10H - Edge AI With On-Device LLMs

Hailo-10H - Edge AI With On-Device LLMs

Complete specs, benchmarks, and analysis of the Hailo-10H - a 2.5W edge AI accelerator with 40 TOPS INT4, on-module LPDDR4, and the ability to run LLMs and VLMs on a Raspberry Pi at 10 tokens per second.

NVIDIA Rubin CPX - Inference GPU With GDDR7

NVIDIA Rubin CPX - Inference GPU With GDDR7

Full specs, benchmarks, and analysis of the NVIDIA Rubin CPX - a purpose-built inference GPU with 128GB GDDR7, 30 PFLOPS NVFP4, and 3x faster attention versus Blackwell, targeting million-token context workloads.

Tenstorrent Blackhole p150a - RISC-V AI Card

Tenstorrent Blackhole p150a - RISC-V AI Card

Complete specs, benchmarks, and analysis of the Tenstorrent Blackhole p150a - the $1,399 PCIe AI accelerator with 120 Tensix cores, 768 RISC-V processors, 32GB GDDR6, and fully open-source software.

DeepSeek V4

DeepSeek V4

DeepSeek V4 is an unreleased trillion-parameter MoE model with ~32B active parameters, native multimodal capabilities, a 1M-token context window, and optimization for Huawei Ascend chips - expected in the first week of March 2026.

AMD Instinct MI300X

AMD Instinct MI300X

AMD Instinct MI300X specs, benchmarks, and real-world performance data. 192GB HBM3, 5,300 GB/s bandwidth, 2,610 TFLOPS FP8 on CDNA 3 chiplet architecture.

AMD Instinct MI350X

AMD Instinct MI350X

AMD Instinct MI350X specs and performance estimates. 288GB HBM3e, ~6,000 GB/s bandwidth, ~3,600 TFLOPS FP8 on CDNA 4 architecture at TSMC 3nm.

AWS Trainium2 - Amazon's Cloud Training Chip

AWS Trainium2 - Amazon's Cloud Training Chip

AWS Trainium2 is Amazon's second-generation custom AI training chip, powering EC2 Trn2 instances with 96GB HBM2e per chip and tight integration with the AWS Neuron SDK and SageMaker ecosystem.

Cerebras WSE-3 - The Wafer-Scale AI Engine

Cerebras WSE-3 - The Wafer-Scale AI Engine

The Cerebras Wafer-Scale Engine 3 is the largest chip ever built - an entire TSMC 5nm wafer with 900,000 AI cores, 44GB of on-chip SRAM, and 21 PB/s of memory bandwidth powering the CS-3 AI supercomputer.

Google TPU v6e Trillium

Google TPU v6e Trillium

Google Cloud TPU v6e Trillium specs, benchmarks, and pricing. 32GB HBM per chip, ~1,600 GB/s bandwidth, optimized for Transformer training and inference at cloud scale.

Google TPU v7 Ironwood

Google TPU v7 Ironwood

Google TPU v7 Ironwood specs, architecture, and performance estimates. Google's next-gen inference-optimized TPU with massive memory per chip, announced at Cloud Next 2025.

Groq LPU - Deterministic Inference at Scale

Groq LPU - Deterministic Inference at Scale

Groq's Language Processing Unit (LPU) is a purpose-built inference ASIC that trades HBM for 230MB of on-chip SRAM, delivering deterministic latency and record-breaking tokens-per-second for LLM serving.

Huawei Ascend 910B

Huawei Ascend 910B

Huawei Ascend 910B specs, benchmarks, and real-world performance. 64GB HBM2e, ~1,200 GB/s bandwidth, ~600 TFLOPS FP16 - the chip that trained DeepSeek.

Huawei Ascend 910C

Huawei Ascend 910C

Huawei Ascend 910C specs, benchmarks, and performance analysis. 96GB HBM2e, ~1,800 GB/s bandwidth, ~800 TFLOPS FP16 - China's flagship AI chip under US sanctions.

Intel Gaudi 3 - Challenging NVIDIA on Price

Intel Gaudi 3 - Challenging NVIDIA on Price

Intel Gaudi 3 is a TSMC 5nm AI accelerator with 128GB HBM2e and 1,835 TFLOPS FP8 performance, positioned as a cost-effective alternative to NVIDIA H100 for training and inference workloads.

NVIDIA B200 - Blackwell Flagship GPU

NVIDIA B200 - Blackwell Flagship GPU

Complete specs, benchmarks, and analysis of the NVIDIA B200 - the Blackwell-architecture flagship GPU with 192GB HBM3e, 8 TB/s bandwidth, and up to 9,000 TFLOPS FP8.

NVIDIA GB200 NVL72 - Rack-Scale Blackwell

NVIDIA GB200 NVL72 - Rack-Scale Blackwell

Complete specs, benchmarks, and analysis of the NVIDIA GB200 NVL72 - the 72-GPU rack-scale Blackwell system delivering 1,440 PFLOPS FP4 for trillion-parameter AI training and inference.

NVIDIA GB300 NVL72 - Blackwell Ultra Rack

NVIDIA GB300 NVL72 - Blackwell Ultra Rack

Complete specs, benchmarks, and analysis of the NVIDIA GB300 NVL72 - the Blackwell Ultra rack-scale system with 288GB HBM3e per GPU, 1.5x more FP4 compute, and 2x attention performance over GB200.

NVIDIA H200 - Inference-Optimized Hopper

NVIDIA H200 - Inference-Optimized Hopper

Complete specs, benchmarks, and analysis of the NVIDIA H200 - the HBM3e-equipped Hopper GPU that delivers 76% more memory and 43% more bandwidth than the H100 for inference workloads.

NVIDIA RTX 3090 - The Budget 24GB Value King

NVIDIA RTX 3090 - The Budget 24GB Value King

Full specs and benchmarks for the NVIDIA GeForce RTX 3090 - 24GB GDDR6X at 936 GB/s, Ampere architecture, and why used 3090s remain the best value option for local AI inference in 2026.

NVIDIA RTX 4090 - The Home Lab AI Standard

NVIDIA RTX 4090 - The Home Lab AI Standard

Full specs and benchmarks for the NVIDIA GeForce RTX 4090 - 24GB GDDR6X, 1,008 GB/s bandwidth, Ada Lovelace architecture, and why it remains the default home lab GPU for local AI inference.

OpenRouter Review: One API Key to Rule Them All

OpenRouter Review: One API Key to Rule Them All

OpenRouter routes your API calls to 300+ models across every major provider through a single endpoint. We benchmark its routing, latency overhead, pricing, and reliability against direct API access.

Gemini 3 Deep Think

Gemini 3 Deep Think

Google DeepMind's reasoning mode scores 84.6% on ARC-AGI-2, 3455 Codeforces Elo, and solves 18 previously unsolved research problems - outpacing Claude Opus 4.6 and GPT-5.2 on reasoning-heavy tasks.

Nano Banana 2 (Gemini 3.1 Flash Image)

Nano Banana 2 (Gemini 3.1 Flash Image)

Google DeepMind's natively multimodal image generation and editing model built on Gemini 3.1 Flash - Pro-level quality at Flash speed, free for all Gemini users.

Kimi K2.5

Kimi K2.5

Moonshot AI's Kimi K2.5 is a 1T-parameter MoE model activating 32B per token with native multimodal vision via MoonViT-3D, Agent Swarm coordination of up to 100 sub-agents via PARL, and top-tier math and coding benchmarks under a modified MIT license.

DeepSeek V3.2

DeepSeek V3.2

DeepSeek V3.2 is a 671B-parameter MoE model activating 37B per token that delivers frontier-class reasoning and coding at the lowest API price in the industry - $0.14/$0.28 input, $0.42 output per million tokens.

Gemini 2.5 Flash-Lite

Gemini 2.5 Flash-Lite

Google's cheapest Gemini model pairs a 1M-token context window with $0.10/$0.40 per million token pricing, multimodal input, and 359 tokens/second throughput for high-volume production workloads.

GLM-4.7-Flash

GLM-4.7-Flash

Zhipu's GLM-4.7-Flash is a 30B-A3B MoE model that posts 59.2% on SWE-bench Verified and 79.5% on tau2-Bench while running on a single RTX 4090 - MIT licensed and free via the Z.AI API.

Google Gemma 3 27B

Google Gemma 3 27B

Google Gemma 3 27B is a 27B dense multimodal model supporting text and vision with a 128K context window, 140+ languages, and single-GPU deployment - the most capable open model at its size class.

GPT-4o mini

GPT-4o mini

OpenAI's budget API workhorse pairs 128K context with $0.15/$0.60 per million token pricing, solid coding benchmarks, and the broadest third-party ecosystem of any small model.

Llama 4 Maverick

Llama 4 Maverick

Meta's Llama 4 Maverick packs 400B total parameters into a 128-expert MoE architecture with only 17B active per token, beating GPT-4o on Chatbot Arena while matching DeepSeek V3 on reasoning at half the active parameters.

Llama 4 Scout

Llama 4 Scout

Meta's Llama 4 Scout is a 109B-total, 17B-active MoE model with 16 experts and a 10M-token context window - the longest of any open-weight model - with native multimodal support for text and images.

Microsoft Phi-4

Microsoft Phi-4

Microsoft's 14B dense transformer that consistently beats models 5x its size on MATH and GPQA, available under the MIT license for unrestricted commercial use.

Mistral Large 3

Mistral Large 3

Mistral Large 3 is a 675B-parameter MoE model activating 41B per token with native multimodal support, a 256K context window, and Apache 2.0 licensing - Europe's first frontier-class open-weight model.

Mistral Small 3.2

Mistral Small 3.2

Mistral Small 3.2 is a 24B dense model with strong function calling, multimodal vision, and 128K context under Apache 2.0 - optimized for production tool-use pipelines and EU-compliant deployments.

Nemotron 3 Nano 30B-A3B

Nemotron 3 Nano 30B-A3B

NVIDIA's hybrid Mamba2+MoE model packs 31.6B total parameters but activates only 3.2B per token, delivering frontier-class reasoning with 3.3x the throughput of comparable models on a single H200 GPU.

MiniMax M2.5

MiniMax M2.5

MiniMax M2.5 is a 230B MoE model (10B active) that scores 80.2% on SWE-Bench Verified while costing 1/10th to 1/20th of frontier competitors like Claude Opus 4.6 and GPT-5.2.

Qwen3.5-122B-A10B

Qwen3.5-122B-A10B

Qwen3.5-122B-A10B is a 122B-parameter MoE model activating 10B parameters per token, narrowing the gap between medium and frontier models with top scores in GPQA Diamond (86.6), MMMU (83.9), and OCRBench (92.1). Apache 2.0 licensed.

Qwen3.5-27B

Qwen3.5-27B

Qwen3.5-27B is a 27B dense model that matches GPT-5-mini on SWE-bench (72.4) and posts the best coding and instruction-following scores in the Qwen 3.5 medium lineup. Apache 2.0 licensed.

Qwen3.5-35B-A3B

Qwen3.5-35B-A3B

Qwen3.5-35B-A3B is a 35B-parameter MoE model activating just 3B parameters per token that surpasses the previous Qwen3-235B flagship across language, vision, and agent benchmarks. Apache 2.0 licensed.

Qwen3.5-Flash

Qwen3.5-Flash

Qwen3.5-Flash is Alibaba's hosted production model with 1M context, built-in tools, and multimodal support at $0.10/M input tokens - one of the cheapest frontier-tier APIs available.

Claude Opus 4.6

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.

GPT-5.3 Codex

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

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.

Overall LLM Rankings: February 2026

Overall LLM Rankings: February 2026

Comprehensive ranking of the top large language models in February 2026, combining multiple benchmarks including reasoning, coding, knowledge, and multimodal capabilities.

Best Tools for Running LLMs Locally in 2026

Best Tools for Running LLMs Locally in 2026

Compare the best tools for running large language models locally: Ollama, LM Studio, llama.cpp, GPT4All, and LocalAI. Includes hardware requirements and model recommendations.

Best AI-Powered Search Engines in 2026

Best AI-Powered Search Engines in 2026

Compare the best AI-powered search engines of 2026: Perplexity AI, Google AI Overviews, Bing Copilot, You.com, Phind, and Kagi. How AI search differs from traditional search.

Best AI Video Generators in 2026

Best AI Video Generators in 2026

Overview of the best AI video generators in 2026: Sora, Veo, Runway Gen-3, Pika, and Kling. Current capabilities, limitations, pricing, and practical use cases.