GPT-5.2
GPT-5.2 is OpenAI's most capable model with three modes, 400K context, and record-setting professional benchmarks - but speed and pricing raise questions.
Articles Tagged "Reasoning"
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.
AI Models Can Now Jailbreak Other AI Models Autonomously - 97% Success Rate, No Human Involved
Researchers from Stuttgart and ELLIS Alicante gave four reasoning models a single instruction - 'jailbreak this AI' - and walked away. The models planned their own attacks, adapted in real time, and broke through safety guardrails 97.14% of the time across 9 target models.
Gemini 3.1 Pro Review: Google's Reasoning Leap Is Real - With Caveats
Google's Gemini 3.1 Pro more than doubles its predecessor's reasoning scores and introduces adjustable thinking modes, but latency issues and preview-status quirks keep it from a clean sweep.
Inception Ships Mercury 2 - A Diffusion LLM That Hits 1,009 Tokens Per Second
Inception Labs launches Mercury 2, the first diffusion-based reasoning language model, generating over 1,000 tokens per second on Blackwell GPUs at a fraction of the cost of conventional autoregressive models.
Programmatic GUI Agents, Faithful Chain-of-Thought, and the 1% KV Cache
Today's arXiv picks: a state-machine framework that makes GUI agents 12x cheaper, a training method that forces chain-of-thought to be honest, and a KV cache system that matches full quality at 1% the memory.
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.
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.
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.
Today in AI Research: Sycophancy Traps, Data Analysis Mirages, and the Scaling Wall for Agents
New papers show chatbot sycophancy causes delusional spiraling even in rational users, AI data analysts produce wildly different conclusions from the same dataset, and test-time scaling fails for general-purpose agents.
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.
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.
