Artificial Analysis is an independent platform that aggregates and publishes benchmark and pricing data on AI models, including its Intelligence Index, speed measurements, speech and image leaderboards, and a free API. Recent coverage frequently cites its rankings: Microsoft AI says its MAI-Transcribe-2-Streaming tops its accuracy list, GLM 5.3 Flash leads its Cyber Index, ElevenLabs' speech models are compared on its voice leaderboards, and xAI's Grok 4.7 scores 46 on its Intelligence Index.
LocalLLaMA users debate open-weight model rankings and benchmarksA r/LocalLLaMA user challenged community consensus, arguing open-weight models are overrated on the Artificial-Analysis V5 Index, that favorites like GLM 5.3 do not rival Grok, and that Haiku 5.5 actually beats deepseek-v4.1-flash-1017. The poster also said ThreeJS should not be a general benchmark and defended Strata Dev's project direction.
Mistral releases weights for trillion-parameter Mistral Large 4Mistral released the weights of its trillion-parameter Mistral Large 4, pitched at sovereign cyber defense. It claims performance comparable to GLM-5.3 while using 47% fewer tokens per task, and says ML4 tops other open models on Artificial Analysis' Coding Agent Index.
Artificial Analysis Intelligence Index Upgraded to v5Artificial Analysis released v5 of its Intelligence Index, calling it more accurate, but the gap between open- and closed-weight models widened from 3 to 12 points. With 60% of the index based on private test sets or held-out answers, results cannot be reproduced, and some users already question its accuracy.
ElevenLabs launches two real-time speech-to-speech modelsElevenLabs released the Eleven Realtime speech-to-speech models for low-latency conversational AI. The v1 Max variant scores 98.8% on the Big Bench Audio benchmark with a 0.57-second response time, and the company claims no model on the Artificial Analysis leaderboard is both faster and more accurate.
GLM 5.3 Flash Tops Artificial Analysis Cyber IndexOpen-source model GLM 5.3 Flash ranks first on the Artificial Analysis Cyber Index, surpassing every Anthropic model. Two open models top the leaderboard, showing open-source competitiveness in cyber capabilities.
Microsoft AI releases new transcription and text-to-speech modelsMicrosoft AI released MAI-Transcribe-2-Streaming, a real-time transcription model it says ranks first for accuracy on Artificial Analysis, supports 60 languages, returns first partial results in about 100 milliseconds, and costs $0.54 per hour of audio at an introductory price through year-end. It also launched MAI-Voice-2.1 and MAI-Voice-2.1-Flash text-to-speech models that speak 23 languages in one voice; Flash has 150ms latency and costs $15 per million characters, down from $22. The models are available via Microsoft Foundry, MAI Playground and OpenRouter.
Hugging Face launches open TTS leaderboardHugging Face launched the Open TTS Leaderboard, using objective metrics to evaluate multilingual text-to-speech and voice cloning models, addressing arena-style leaderboards that cannot keep pace with open model releases. As of Sept 30, 2026, the Hub hosts over 8,000 TTS models, yet only 16 of 92 models on Artificial Analysis are open-weights.
ElevenLabs launches v4 speech model with more expressive, consistent voicesElevenLabs released Eleven v4, which follows cues for laughter and whispering more accurately and keeps voices consistent across long productions like audiobooks. Its Turbo variant starts speaking in 150 milliseconds for real-time voice agents. On Artificial Analysis' Voice Arena leaderboard, v4 ranks ahead of Cartesia and Google's Gemini.
Daily-updated best LLM for every budgetA daily-updated page using Artificial Analysis's free API plots the value frontier of models by 3:1 blended price per 1M tokens against the Intelligence Index, listing the best model and runner-up for each budget band and tracking daily additions, removals and re-scored or re-priced models.
Mercury 2.5 LLM Hits 770 Tokens per SecondInception released Mercury 2.5, achieving 770.4 output tokens per second, ranking #2 in speed on Artificial Analysis. Its intelligence index is 12, below the median 13, but it is cost-effective at $0.25/$0.75 per million input/output tokens with 90% cache discount.
Ant open-sources 6B image model Ming-Image-0.1-DesignAnt open-sourced the 6B Ming-Image-0.1-Design and Design-Layer image models, plus the Ling UI Design Skill and Image-to-Editable-PPT Skill. The model ranks first among open-weight models on Artificial Analysis's UI/UX Design leaderboard.
xAI launches budget Grok 4.7, benchmark gap to Claude and GPT-6 remains widexAI released Grok 4.7, its most capable model yet, at a low price, but it scores just 46 on the Artificial Analysis Intelligence Index, behind Claude Fable 5.1 and GPT-6 at 53 each, with a wider gap in agentic coding.
Grok Voice Transcribe 2.0 Doubles AccuracyxAI released Grok Voice Transcribe 2.0, claiming twice the accuracy of version 1.0 at the same price. It ranks first for accuracy among 32 streaming models on the Artificial Analysis leaderboard and improves on 1.0 across four internal production sets: telephony support calls, Grok conversations, spoken credentials, and multilingual commands. It handles dozens of languages with automatic detection.
Defense of Artificial Analysis BenchmarksA r/LocalLLaMA post defends the Artificial Analysis aggregated benchmark, outlining its methodology and costs, and cites performance differences among Deepseek, Qwen, and GPT‑6 across subbenchmarks.
The A.I. Daily