Rajkumar rawal PRO

https://github.com/rawalraj022/aiprl-llm-intelligence-report/blob/main/2025_AD_Top_LLM_Benchmark_Evaluations/9)September(2025)/Core_Knowledge_%26_Reasoning_Benchmarks/Core_Knowledge_%26_Reasoning_Benchmarks.pdf

Global Hosting Providers :
https://huggingface.co/huggingface, https://huggingface.co/OpenRouter, Inc, https://huggingface.co/vercel, https://huggingface.co/cerebras, https://huggingface.co/Groq, https://huggingface.co/github, https://huggingface.co/Cloudflare, https://huggingface.co/fireworks-ai, Baseten, https://huggingface.co/nebius, https://huggingface.co/novita, https://huggingface.co/alibaba-inc, https://huggingface.co/modal-labs, https://huggingface.co/context-labs, https://huggingface.co/Hyperbolic,https://huggingface.co/sambanovasystems, https://huggingface.co/scaleway, https://huggingface.co/togethercomputer, https://huggingface.co/nscale, https://huggingface.co/xai-org, and others.

Research Highlights :
Comparative insights, evaluation methodologies, and industry trends for AI decision makers.

Disclaimer:
This comprehensive Core Knowledge & Reasoning analysis represents the current state of large language model capabilities as of September 2025. All performance metrics are based on standardized evaluations and may vary based on specific implementation details, hardware configurations, and testing methodologies. Users are advised to consult original research papers and official documentation for detailed technical insights and application guidelines. Individual model performance may differ in real-world scenarios and should be validated accordingly. If there are any discrepancies or updates beyond this report, please refer to the respective model providers for the most current information.

https://github.com/rawalraj022/aiprl-llm-intelligence-report/blob/main/2025_AD_Top_LLM_Benchmark_Evaluations/9)September(2025)/Core_Knowledge_%26_Reasoning_Benchmarks/Core_Knowledge_%26_Reasoning_Benchmarks.pdf

September(2025) LLM Core Knowledge & Reasoning Benchmarks Report By AI Parivartan Research Lab (AIPRL-LIR)

Monthly LLM's Intelligence Reports for AI Decision Makers :
Our "aiprl-llm-intelligence-report" repo to establishes (AIPRL-LIR) framework for Large Language Model overall evaluation and analysis through systematic monthly intelligence reports. Unlike typical AI research papers or commercial reports. It provides structured insights into AI model performance, benchmarking methodologies, Multi-hosting provider analysis, industry trends ...

( all in one monthly report ) Leading Models & Companies, 23 Benchmarks in 6 Categories, Global Hosting Providers, & Research Highlights

Here’s what you’ll find inside this month’s intelligence report:-

Leading Models & Companies :
OpenAI , Anthropic, Meta, Google Google DeepMind, Mistral AI, Cohere, Qwen AI, DeepSeek AI, Microsoft Research , Amazon Web Services (AWS), NVIDIA AI, Grok and more.

23 Benchmarks in 6 Categories :
With a special focus on Core Knowledge & Reasoning performance across diverse tasks.

Global Hosting Providers :
Hugging Face, OpenRouter, Inc, Vercel, Cerebras, Groq, GitHub, Cloudflare, Fireworks AI, Baseten, Nebius, Novita AI, Alibaba Cloud, Modal, inference.net, Hyperbolic,SambaNova, Scaleway, Together AI, Nscale, xAI, and others.

Research Highlights :
Comparative insights, evaluation methodologies, and industry trends for AI decision makers.

Disclaimer:
This comprehensive Core Knowledge & Reasoning analysis represents the current state of large language model capabilities as of September 2025. All performance metrics are based on standardized evaluations and may vary based on specific implementation details, hardware configurations, and testing methodologies. Users are advised to consult original research papers and official documentation for detailed technical insights and application guidelines. Individual model performance may differ in real-world scenarios and should be validated accordingly. If there are any discrepancies or updates beyond this report, please refer to the respective model providers for the most current information.

Repository link is in comments below :

#Core_Knowledge #Reasoning #September2025 #Benchmarks #aiprl_lir #aiprl_llm_intelligence_report #llm #hostingproviders #llmcompanies #researchhighlights #report #monthly #ai #analysis #aiparivartanresearchlab

https://github.com/rawalraj022/aiprl-llm-intelligence-report/blob/main/2025_AD_Top_LLM_Benchmark_Evaluations/9)September(2025)/Commonsense_%26_Social_Benchmarks/Commonsense_%26_Social_Benchmarks.pdf