Math Olympiad AI Leaderboard - March 2026 Rankings
Rankings of AI models on competition mathematics benchmarks including AIME 2025, IMO, MathArena, and FrontierMath, measuring the cutting edge of mathematical reasoning.
Articles Tagged "Benchmarks"
China's GLM-5 Rivals GPT-5.2 on Zero Nvidia Silicon
Zhipu AI's 744B open-source model GLM-5 was trained entirely on Huawei Ascend chips and now competes with GPT-5.2 and Claude Opus on major benchmarks.
Agentic AI Benchmarks Leaderboard - GAIA, WebArena, BFCL, and Tau2-Bench
Rankings of the best AI models and agent frameworks on agentic benchmarks measuring real-world task completion, web navigation, function calling, and multi-turn tool use.
QuiverAI's Arrow 1 Hits #1 on SVG Arena With 1583 Elo - First Model to Break 1500 on Any Design Arena Leaderboard
Arrow 1, a purpose-built SVG generation model from a16z-backed QuiverAI, reached the top of SVG Arena with an Elo of 1583 one day after launch - shattering Gemini 3.1 Pro's previous record of 1421 by 162 points.
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.
Grok 4.20 Debuts at Number One on Search Arena, Cracks Top Four in Text
xAI's Grok 4.20 beta1 takes the top spot on LMArena's Search Arena with an ELO of 1226, beating GPT-5.2 and Gemini 3. It also lands fourth on the Text Arena at 1492, within striking distance of Claude Opus 4.6.
Qwen3.5-27B vs Gemma 3 27B: Same Parameter Count, Completely Different Models
A data-driven comparison of Alibaba's Qwen3.5-27B and Google's Gemma 3 27B - two 27B dense models that share a parameter count and almost nothing else.
Qwen3.5-27B vs Mistral Small 3.2: Apache 2.0 Heavyweights Go Head to Head
A data-driven comparison of Alibaba's Qwen3.5-27B and Mistral's Small 3.2 - two Apache 2.0 dense models in the 24-27B range with very different benchmark profiles and deployment strengths.
Qwen3.5-27B vs Phi-4: When Twice the Parameters Is Not Twice as Obvious
A data-driven comparison of Alibaba's Qwen3.5-27B and Microsoft's Phi-4 - a 27B hybrid architecture versus a 14B STEM specialist, testing whether raw parameter count or training efficiency wins in practice.
Qwen3.5-35B-A3B vs Llama 4 Scout: 3B Active Parameters vs 17B - Does 5.7x More Compute Actually Win?
David vs Goliath: Qwen3.5-35B-A3B activates 3B parameters and beats Llama 4 Scout's 17B active on MMLU-Pro, GPQA, and coding benchmarks - but Scout's 10M context window and native multimodal support tell a different story.
Qwen3.5-35B-A3B vs Nemotron 3 Nano 30B-A3B: Benchmarks vs Throughput in the 3B Active Parameter Class
A data-driven comparison of Alibaba's Qwen3.5-35B-A3B and NVIDIA's Nemotron 3 Nano 30B-A3B - two ~30B MoE models activating ~3B parameters that take fundamentally different architectural approaches to the same problem.
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.
