Analysis of Meta's Muse Spark 1.3 (max) and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more.
Muse Spark 1.3 (xhigh) - Intelligence, Performance & Price Analysis | Artificial Analysis
Analysis of Meta's Muse Spark 1.3 (xhigh) and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more.
Introducing Muse Spark 1.3
Introducing Muse Spark 1.3, with max reasoning for challenging reasoning and agentic tasks and improved real-world usability.
Introduction - How to Write an Inference Engine
A zero-to-hero guide to Muse Glimmer on Apple Metal, kvpack, and disaggregated NVFP4 prefill.
Announcing VibeBench: The AI benchmark that measures what matters — how models like Opus-4.7 actually feel to use in real-world work.
My coworkers and I have been long-time users of Claude Code and Codex and are getting a ton of exposure to other models due to our deep dives into…
Neo4j Startup Program
Build, validate, and scale mission-critical AI with up to $16K in Aura credits on a production-ready graph database.
Project MUSE -- Verification required!
In order to better serve you and keep this site secure, please complete this challenge. If you are trying to perform text/data mining, please contact Customer Service for assistance.
Together AI | The AI Native Cloud
Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research.
LLM Leaderboard - Comparison of over 100 AI models from OpenAI, Google, DeepSeek & others
Comparison and ranking the performance of over 100 AI models (LLMs) across key metrics including intelligence, price, performance and speed (output speed - tokens per second & latency - TTFT), context window & others.
Automotive — Solutions — Liquid AI
On-device AI for automakers — real-time, personalized in-car assistants that run on the vehicle's existing CPUs and NPUs.
Kimi K2 0711 - API Pricing & Benchmarks
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. $0.57 per million input tokens, $2.30 per million output tokens. 131,072 token context window, maximum output of 32,768 tokens. Includes independent benchmarks from Artificial Analysis.
Georgi Gerganov on Twitter / X
gpt-oss is a great modelIMO OpenAI showed us the blueprint for winning local AI:- Interleaved SWA- Small head sizes in the attention- Attention sinks- Mixture of Experts FFN- 4-bit trainingAll of these parts combined together result in the best architecture suitable for…— Georgi Gerganov (@ggerganov) August 28, 2025
TheStage AI – Faster, Cheaper AI Inference
Accelerate models on NVIDIA & edge. Full guides for setup, optimization & deploy. ANNA, QLIP, Elastic Models, CLI & API. Built for AI teams & devs.
Pricing | Mistral AI
Compare Le Chat and Mistral AI Studio plans. Transparent pricing, scalable solutions—choose your AI power today.
