Nº01 GPT-5.6 Sol vs Kimi K3 vs Claude Opus 5: an early coding comparison GPT-5.6 Sol, Kimi K3, and Claude Opus 5 trade coding wins. An early comparison of capability, cost, availability, and agent workflows. 26 Jul 2026 · 12 min read aillmdeveloper-tools
Nº02 Do token-saving plugins make AI coding agents worse? Skills like Caveman and tools like RTK save tokens, but their benchmarks rarely measure whether the agent still completes the work correctly. 24 Jul 2026 · 12 min read aideveloper-toolsclaude-code
Nº03 DiffusionGemma: Google's open model that writes text in parallel Google DeepMind shipped an open-weight model that generates text by denoising a block of tokens instead of predicting one at a time. Here's how it works and where it fits. 12 Jun 2026 · 10 min read aimachine-learningllm
Nº04 GLM-5 vs Kimi K2.5 vs MiniMax M2.5: a practical coding showdown Three Chinese MoE models claim frontier-class coding at a fraction of Opus pricing. Here's how they actually perform in Claude Code, Cursor, and real developer workflows. 18 Mar 2026 · 11 min read aillmdeveloper-tools
Nº05 Nemotron 3 Super: NVIDIA's 120B open-weight model built for agentic workloads NVIDIA's Nemotron 3 Super packs 120B parameters into 12B active, combining Mamba-2, Transformers, and a novel LatentMoE — all open-weight and purpose-built for multi-agent systems. 12 Mar 2026 · 8 min read aimachine-learningllm
Nº06 Kimi K2.5 vs Claude Opus 4.6: a practical comparison for developers Kimi K2.5 delivers 95% of Opus 4.6's coding capability at 10-25× lower cost. But the benchmarks don't tell the whole story. 2 Mar 2026 · 8 min read aillmdeveloper-tools
Nº07 Anthropic studied 1.5 million conversations and found we're not checking AI's work Two new Anthropic studies reveal that users voluntarily cede judgment to AI — and feel good about it until things go wrong. 20 Feb 2026 · 7 min read aimachine-learningai-safety
Nº08 Gemini 3.1 Pro: Google's reasoning leap Google's latest frontier model more than doubles its predecessor's reasoning score in three months, leads 13 of 16 benchmarks, and ships at the same price. The adaptive compute architecture is the interesting part. 19 Feb 2026 · 6 min read machine-learningllmai
Nº09 Claude Sonnet 4.6: Opus-level performance at a fifth of the price Anthropic's second major launch in two weeks puts near-flagship capability at $3/$15 per million tokens. The mid-tier label is starting to feel like a misnomer. 17 Feb 2026 · 9 min read machine-learningllmai
Nº10 MiniMax M2.5: the agent-native model that costs a dollar an hour A 230B MoE model with 10B active parameters hits 80.2% on SWE-Bench Verified at 1/20th the cost of Opus. Here's what's real and what's hype. 12 Feb 2026 · 10 min read machine-learningllmopen-source
Nº11 GLM-5: the open-weight model that's rewriting the frontier economics Zhipu AI's 744B mixture-of-experts model ships under MIT license with frontier-class benchmarks and aggressive pricing. Here's what actually matters. 11 Feb 2026 · 8 min read machine-learningllmopen-source