Benchmark analysis, model rankings, and practical guides for builders.
Artificial Analysis Intelligence Index v4.1 changes the model-selection question from "which model is smartest?" to "what does a completed agent task cost?" A data-backed guide to Agentic Index, cost per task, cache pricing, Terminal-Bench 2.1, ĪÂŗ-Bench Banking, and GDPval-AA v2.
Read articleAfter April broke the ceiling (GPT-5.5 at 60.24, Opus 4.7, DeepSeek V4, Kimi K2.6), May went quiet on scale and loud on architecture. SubQ shipped the first commercial subquadratic LLM with a 12M context. Zyphra dropped an 8B MoE trained on AMD. OpenAI made GPT-5.5 Instant the new ChatGPT default.
A long letter on why I built AI Bottlenecks. EUV machines, indium phosphide wafers, CoWoS slots, gas turbines, and the four physical chokepoints gating the 2026 to 2030 AI buildout. The constraint is never at the loud end of the stack.
A synthesis of Artificial Analysis's 2025 Year-End State of AI report. Reasoning models took the leaderboard, the cost of intelligence collapsed 100x, coding agents went mainstream, and the frontier got more contested â not less.
DeepSeek V4-Pro and V4-Flash just dropped. 1.6T MoE, native 1M context, MIT weights, trained on Huawei Ascend. Priced at ~1/20th of Opus 4.7. The model Jensen warned about eight days ago on Dwarkesh â live on Hugging Face.
Moonshot AI just shipped Kimi K2.6. 1T parameters, 262K context, 4,000 tool calls in a single run, and benchmarks that put it shoulder to shoulder with GPT-5.4 and Claude Opus 4.6.
Muse Spark scored 52 on the Intelligence Index. Llama 4 Maverick scored 18. Inside the $15 billion rebuild, Meta Superintelligence Labs, and what it means for the frontier.
Claude Mythos is locked behind a 50-company firewall. GLM-5.1 beat GPT-5.4 on coding under MIT license. Gemma 4 went Apache 2.0. The full breakdown of AI's first week of April.
GPT-5.4 matched Gemini 3.1 Pro within 0.01 points. NVIDIA unveiled trillion-parameter infrastructure. Anthropic clashed with the Pentagon. Nine text models shipped, seven open-weight. Full breakdown.
Google pushed a mid-cycle update to Gemini 3 Pro on February 11. We measured every benchmark delta: +4.2pp on SWE-Bench, +5.2pp on AIME 2025, #1 on LM Arena. Here is what changed and who should switch.
AI is not destroying jobs. It is exposing that most white-collar work was never truly meaningful. The K-shaped economy is splitting fast, agents are hiring humans, and the next 2-3 years decide which side you land on.
GLM-5 (Reasoning) takes #1 with QI 49.64, Kimi K2.5 at #2, MiniMax-M2.5 enters. Full rankings, Ollama picks by VRAM tier, and self-hosting guide.
A data-driven DeepSeek hub that connects benchmarks to provider reality: pricing, speed, and time to first token across hosts.
A MiniMax hub for builders. Understand M1 vs M2 vs M2.1 and compare providers by price, speed, and time to first token.
Claude Opus 4.5 for reasoning, GLM-4.7 for open source dominance, and Gemini 3 Pro for speed.
The narrative around AI has long revolved around compute power. As we enter 2026, a quieter shift is underway. Memory, not chips, is becoming the constraint.
We compared 94 model endpoints. The gap between open source and proprietary has shrunk to 5-7 quality index points.
Twelve months ago, we were debating whether AI could reason. Now we're debating who owns the reasoning.
DeepSeek V3.2 hit 96% on AIME 2025. Xiaomi dropped a frontier model. GLM-4.7 claimed the coding crown.
OpenAI declared "Code Red" in December 2025. China's 15 open-weight models, the efficiency revolution, and custom silicon converged.
Analysis of 114 models reveals a market in transition: benchmarks saturating, open-weight matching proprietary at 10x lower cost.
The AI arms race explodes in November 2025 with three frontier releases in 12 days. Benchmarks, pricing, and where each dominates.
Moonshot AI's open-weight MoE takes on OpenAI's proprietary GPT-5.1. Architecture, benchmarks, pricing.
Moonshot AI's K2 Thinking lands a 67 on Artificial Analysis, sets agentic records, proves open weights compete on reasoning.
A 94-model deep dive covering quality, price, and speed deltas across the 2025 LLM landscape.
DeepSeek V3.1, Qwen3-235B, GLM-4.6 - performance benchmarks, pricing, and deployment insights.
Lessons from Andrej Karpathy: model collapse, low-entropy outputs, and how to push past the slop.
Z.ai's GLM-4.5 hybrid reasoning vs Moonshot AI's Kimi-K2 1T parameter architecture.
Z.ai's GLM-4.5 vs Alibaba's Qwen3-235B with massive parameter count and FP8 optimization.
Compare 100+ LLMs by price, speed, and benchmarks.