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 "Benchmarks"
Alibaba Drops Qwen3.5: 397B Parameters, 17B Active, and It Trades Blows with GPT-5.2
Alibaba's Qwen team releases Qwen3.5-397B-A17B, an open-weight mixture-of-experts model with native multimodal support and a hybrid attention architecture that runs 8x faster than its predecessor. Apache 2.0 licensed.
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.
SkillsBench Shows a $1 Model With Expert Guides Beats a $15 Model Without Them
A new benchmark of 84 real-world tasks across 11 domains proves that small AI models armed with human-written step-by-step guides outperform frontier models running blind. The catch: models cannot write these guides themselves.
Claude Sonnet 4.6 Review: The Workhorse That Ate the Flagship
Anthropic's mid-tier model delivers 98% of Opus performance at one-fifth the cost, with a 1M token context window and near-parity on coding and computer use 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.
This Week in AI Research: When Agents Try Science, Smarter Synthetic Data, and Protecting Your Model's Reasoning
Three papers that matter this week: a brutal benchmark for AI research agents, a feature-space approach to training data diversity, and trace rewriting to stop model theft.
Home GPU LLM Leaderboard: Best Open Source Models by VRAM Tier with Token/s Benchmarks
Rankings of the best open source LLMs you can run on home hardware - RTX 4090, RTX 3090, Apple M3/M4 Max - organized by VRAM tier with real-world token/s benchmarks and quality scores.
Do AI Benchmarks Still Matter? The Evidence for and Against Public Leaderboards
A data-driven look at benchmark contamination, leaderboard gaming, and whether public AI benchmarks can still tell us anything useful about model capabilities.
Long-Context Benchmarks Leaderboard: MRCR, RULER, and LongBench v2
Rankings of the best AI models for long-context tasks, measuring retrieval accuracy, reasoning, and comprehension across massive context windows from 128K to 10M tokens.
Overall LLM Rankings: February 2026
Comprehensive ranking of the top large language models in February 2026, combining multiple benchmarks including reasoning, coding, knowledge, and multimodal capabilities.
Claude Sonnet 4.6 Arrives With 1M Context and Near-Opus Coding Performance
Anthropic's new mid-tier model matches Opus 4.6 on coding benchmarks, ships a million-token context window, and keeps the same $3/$15 pricing as its predecessor.
