
GPT-5.4 vs Gemini 3.1 Pro - Breadth Meets Reasoning Depth
GPT-5.4 leads on computer use and enterprise productivity. Gemini 3.1 Pro leads on science reasoning and math at 20% lower cost. A benchmark-by-benchmark comparison.
They summarize our coverage. We write it.
Newsletters like this one rebroadcast our headlines - often without the full review, the source reading, or the analysis underneath. Our weekly briefing sends the work they paraphrase, straight from the desk, before they get to it.
Free, weekly, no spam. One email every Tuesday. Unsubscribe anytime.

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.

GPT-5.4 leads on computer use and enterprise productivity. Gemini 3.1 Pro leads on science reasoning and math at 20% lower cost. A benchmark-by-benchmark comparison.

GPT-5.4 leads on computer use and enterprise productivity at half the price. Claude Opus 4.6 leads on coding, agent teams, and long-context retrieval. Here is where each model wins.

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

GPT-5.3 Instant launched March 3, 2026, cutting hallucinations by 26.8% and overhauling ChatGPT's tone - but with documented safety regressions in the process.

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

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.

Kimi K2.5 leads every coding benchmark, but Qwen3.5-35B-A3B delivers 87-93% of that performance at 3-4x lower cost and runs on a single consumer GPU. Here is the full breakdown.

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.

A data-driven comparison of xAI's Grok 4 and OpenAI's ChatGPT powered by GPT-5.2, covering benchmarks, pricing, features, and real-world performance.

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 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 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.