Skip to main content
Winzheng
YZ Index News Topics Winzheng Lab WDCD
Subscribe
中文 English 日本語
All Original Global Reviews
All OpenAI(860) AI Safety(665) Artificial Intelligence(637) Anthropic(629) AI Agents(302) AI Regulation(270) Meta(225) WDCD(209) Smoke Test(197) Cybersecurity(193) Google(178) Generative AI(176) AI Ethics(172) Code Execution(168) Data Centers(164) AI Evaluation(156) YZ Index(151) Material Constraints(151) Claude(147) Compliance Test(145) Funding(143)

Qwen3 Max Leads with 84.51 Points: 2026-09-30 Smoke Quick Test Data Brief

On 2026-09-30, the YZ Index Smoke Quick Test covered 10 models, with Qwen3 Max ranking first for the day at 84.51 points. Smoke is a daily 10-question quick test suitable for observing short-term signals, not equivalent to Full weekly leaderboard conclusions.

YZ Index Smoke快测 AI Evaluation
380 09-30

MLCommons Agent Reliability Profile Named a Finalist in Global Agentic Regulator Hackathon

The MLCommons Financial Services Working Group's Agent Reliability Profile has been selected as a finalist in C:>DIR's global “Agentic Regulator” Hackathon. The framework aims to help close the authorization and oversight gap for AI agents in financial services.

MLC AI Regulation FinTech
561 09-29

MLCommons Sets Participation Record with New MLPerf Inference v6.1 Benchmark Results

MLCommons has released the latest MLPerf Inference v6.1 results, featuring a record number of submitting organizations, two new tests aligned with recent AI inference deployment trends, and first-time peer-reviewed performance results for several new AI platforms. Top performance improved by up to 5.7x compared with a year ago.

MLC MLPerf AI基准测试
590 09-29

Where the Industry Is Investing: A Look at MLPerf Inference v6.1

MLPerf Inference v6.1 draws a record 30 submitters and 120 submitted systems, while signaling a clear shift toward agentic and end-to-end benchmarks. The round also features new hardware, major gains for VLM and DeepSeek R1, and record multi-node and large-scale submissions.

MLC MLPerf Inference AI基准测试
498 09-29

MLCommons Joins EU-Funded AIRIS Project to Build and Benchmark Next-Generation Biomedical AI

MLCommons has become a member of the EU-funded AIRIS project consortium, where it will develop comprehensive evaluation frameworks and benchmark suites to assess multimodal generative AI platforms for biomedical research.

MLC MLCommons 生物医学AI
571 09-29

MLPerf Training Introduces Its First LLM Post-Training Benchmark

MLPerf Training will add an LLM post-training benchmark starting with its October 2026 v6.1 submission round, supplementing the existing pre-training suite. The workload uses reinforcement learning with verifiable rewards (RLVR) on agentic software engineering tasks, built on Qwen 3.5 397B and the R2E-Gym dataset.

MLC MLPerf LLM后训练
631 09-29

Running DeepSeek-V4-Flash and Kimi-K3 on Consumer Hardware with SSD Expert Pack

Running DeepSeek-V4-Flash and Kimi-K3 on Consumer Hardware with SSD Expert PackWiCi AI Team, SGLang TeamAugust 29, 2026 SGLang brings the core idea of SSD-LLaMA to MoE inference: keep routed experts t

LMSYS SGLang MoE推理
416 09-29

Accelerating Long-Context and Agentic Inference with NVFP4 KV Cache

Accelerating Long-Context and Agentic Inference with NVFP4 KV CacheSGLang, Qwen, and NVIDIA teamsSeptember 16, 2026The KV cache is a fundamental building block of the modern LLM inference system. The

LMSYS NVFP4 KV Cache
552 09-29

Scaling JEV-like Decision Models with SGLang

Scaling JEV-like Decision Models with SGLangSundara Raman Ramachandran, Chuanrui Zhu, Qing Lan, Shri Rajamanikandan Vasudevan, Jian Sheng, I-Ting Chen, Fedor BorisyukSeptember 25, 2026A customer asks

LMSYS SGLang JEV决策模型
505 09-29

Claude Opus 4.7 Ties GPT-5.5 at 80.2: 2026-09-29 Smoke Quick-Test Data Brief

The 2026-09-29 YZ Index Smoke quick test covered 10 models, with Claude Opus 4.7 and GPT-5.5 tied for first place that day at 80.2. Smoke is a daily 10-question quick test suited to spotting short-term signals, and its results are not equivalent to Full weekly leaderboard conclusions.

YZ Index Smoke快测 AI Evaluation
583 09-29

GPT-o3 Code Execution Plunges 24.5 Points, Main Leaderboard Falls 15.2: Random Draw or Genuine Degradation?

In today's Smoke evaluation, GPT-o3's main leaderboard score fell from 96.01 to 80.78, with code execution plunging 24.5 points. The article argues this is more likely due to small-sample question draw variance than genuine model degradation, because other dimensions remained stable or improved.

GPT-o3 Code Execution Smoke Test
285 09-28

Claude Opus 4.7 Falls 13.9 Points on Smoke Benchmark Main Leaderboard, Code Execution Plunges 22 Points in One Day

Claude Opus 4.7 dropped from 96.01 to 82.16 on the Smoke benchmark main leaderboard today, with the code execution dimension falling 22 points in a single day.

Claude Opus 4.7 Code Execution Smoke Test
278 09-28

GPT-5.5 Tops with 93.16 Points: 2026-09-28 Smoke Quick Test Data Brief

The 2026-09-28 YZ Index Smoke quick test covered 11 models, with GPT-5.5 ranking first for the day at 93.16 points. Smoke is a daily 10-question quick test suited to observing short-term signals and is not equivalent to weekly Full leaderboard conclusions.

YZ Index Smoke快测 AI Evaluation
499 09-28

GPT-5.5 Smoke Evaluation Main Leaderboard Plunges 12.5 Points as Code Execution Falls 28 in a Single Day

In today's Smoke evaluation, GPT-5.5's main leaderboard score fell 12.5 points to 78.80, driven by a 28-point single-day drop in the code execution dimension, though the swing appears to reflect question-draw variance rather than a genuine capability regression.

GPT-5.5 Code Execution Smoke Test
269 09-27

Doubao Pro Plunges 9.8 Points on Main Leaderboard, Material Constraint Falls 13.7 in a Single Day

Doubao Pro scored 83.00 on today's Smoke benchmark main leaderboard, down 9.8 points from yesterday's 92.85, with the material constraint dimension dropping from 85.70 to 72.00. The decline is most likely driven by small-sample question variance rather than genuine model degradation.

Doubao Pro Material Constraints Smoke 评测
253 09-27

7-Day Smoke Data: Claude Opus 4.7 Has Highest Trend Score of 25.2, Gemini 3.1 Pro Drops 26.9 Points

Based on Smoke evaluation data from 2026-09-21 to 2026-09-27, Claude Opus 4.7 rose from 70.77 to 96.01 over seven days, with the highest average of 87.8, while Gemini 3.1 Pro fell 26.9 points. The report analyzes steadily rising models, clearly declining models, high-volatility models, and integrity rating changes.

Claude Opus 4.7 Gemini 3.1 Pro 模型趋势
277 09-27

Grok 4 Tops with 97.66 Points: 2026-09-27 Smoke Quick Test Data Brief

On 2026-09-27, the YZ Index Smoke quick test covered 10 models, with Grok 4 ranking first for the day at 97.66 points. The Smoke test is a daily 10-question quick assessment, useful for short-term signals but not equivalent to Full weekly ranking conclusions.

YZ Index Smoke快测 AI Evaluation
571 09-27

Doubao Pro Leads with 92.85: September 26, 2026 Smoke Quick-Test Data Brief

The September 26, 2026 YZ Index Smoke quick test covered 10 models, with Doubao Pro ranking first at 92.85. Smoke is a daily 10-question quick test intended for short-term signals and does not represent the conclusions of the Full weekly ranking.

YZ Index Smoke快测 AI Evaluation
637 09-26

GPT-5.5 Tops the List with 86.25 Points: 2026-09-25 Smoke Quick-Test Data Brief

The 2026-09-25 YZ Index Smoke quick test covered 10 models, with GPT-5.5 leading the day at 86.25 on the main leaderboard. The brief reviews the daily rankings and score shifts across the code execution and material constraints dimensions.

YZ Index Smoke快测 AI Evaluation
587 09-25

Claude Opus 4.7 and Gemini 3.1 Pro Tie at 84.61: 2026-09-24 Smoke Quick-Test Data Briefing

On 2026-09-24, the YZ Index Smoke quick test covered 10 models, with Claude Opus 4.7 and Gemini 3.1 Pro tied for first place at 84.61. Smoke is a daily 10-question quick test suitable for short-term signals and is not equivalent to Full weekly ranking conclusions.

YZ Index Smoke快测 AI Evaluation
587 09-24
4 5 6 7 8

© 1998-2026 Winzheng All rights reserved.

Founded in 1998, relaunched in 2025. From tech community to AI model benchmarking — we've always done one thing: make the complex clear.

YZ Index News Winzheng Lab 深度指南 About Us Subscribe Privacy Policy Terms of Service
Ox Alpha on OpenRouter Expl… Google Nano Banana 2 (and 2… Cognition AI Explained: Dev… AI Meeting Notes & Dictatio… AI Model API Pricing Table … LLM Release & Listing Timel…
AI Research: WDCD · Multi-turn Constraint Dataset Konton · AI Fortune-telling Playden · Single-file AI Games 东方材料 603110 暴雷 XunOPC NVIDIA Blackwell RTX PRO 5500

This benchmark operates independently and accepts no sponsorship from AI model vendors. Every score in the YZ Index is produced by automated evaluation.

Citation format: YZ Index (2026). AI Model Comprehensive Rankings. https://www.winzheng.com/yz-index/

Data License: CC BY-NC 4.0