Gemini 3 Deep Think Review: Google's Reasoning Powerhouse Tested
Google's Gemini 3 Deep Think trades speed for depth, delivering record-breaking reasoning benchmarks - but at a steep price.
Articles Tagged "Reasoning"
Google's Gemini 3.1 Pro Doubles Reasoning Performance and Retakes the AI Crown
Google releases Gemini 3.1 Pro with 77.1% on ARC-AGI-2, more than doubling the reasoning capability of its predecessor and beating Claude Opus 4.6 and GPT-5.2 on most benchmarks.
Google Launches Gemini 3.1 Pro, Claims Top Spot on 13 of 16 Benchmarks
Google releases Gemini 3.1 Pro with dramatically improved reasoning, topping Claude Opus 4.6 and GPT-5.2 on most industry benchmarks.
Reasoning Benchmarks: GPQA, AIME, and Humanity's Last Exam
Rankings of AI models on the hardest reasoning benchmarks available: GPQA Diamond, AIME competition math, and the notoriously difficult Humanity's Last Exam.
Anthropic Releases Claude Opus 4.6 With Agent Teams and 1M Context Window
Anthropic launches Claude Opus 4.6 featuring agent teams, adaptive thinking, 1M token context window, and state-of-the-art performance on Terminal-Bench 2.0 and Humanity's Last Exam.
Grok 4 Review: xAI's Bold Bid for the Reasoning Crown
A comprehensive review of xAI's Grok 4, the first model to score 50% on Humanity's Last Exam, featuring Heavy and Coding variants with built-in tool use.
Claude Opus 4.5
Anthropic's November 2025 flagship model delivers top SWE-bench scores, a new effort parameter for reasoning control, and a 66% price cut from its predecessor.
GPT-OSS 20B
OpenAI's open-weight 21B MoE reasoning model with 131K context, Apache 2.0 license, and o3-mini-level benchmark performance running in 16 GB of memory.
Gemini 2.5 Pro
Google DeepMind's flagship thinking model with 1M-token context, 84% GPQA Diamond, and native multimodal understanding of text, images, audio, and video.
OpenAI o3-pro
OpenAI's maximum-compute reasoning model targets the hardest problems where o3 falls short, at $20/$80 per million tokens.
OpenAI o3
OpenAI's most advanced reasoning model, built for math, science, coding, and visual tasks, with 200K context and adaptive chain-of-thought at $2/$8 per million tokens.
OpenAI o4-mini
OpenAI o4-mini is a fast, cost-efficient reasoning model in the o-series, delivering near-o3 performance on math and coding benchmarks at roughly 10x lower cost.
