26 articles
Anthropic launches Claude Opus 4.6, a frontier model purpose-built for autonomous coding agents that can plan, execute, and debug multi-file projects with minimal human oversight.
Meta releases Llama 4 Maverick, a 400-billion parameter mixture-of-experts model under its open weights license, matching GPT-5 on key benchmarks and reigniting the open-source AI debate.
OpenAI rolls out GPT-5.3 Instant as ChatGPT's new default model, delivering significant reductions in hallucination rates, fewer unnecessary refusals, and a more natural conversational tone.
OpenAI releases GPT-5 Turbo, a distilled version of its flagship model that delivers comparable quality at triple the speed and 50% lower API pricing, targeting production workloads.
Alibaba releases four compact open-source models from 0.8B to 9B parameters that outperform OpenAI and Google's small models on benchmarks — and run entirely on consumer hardware.
China's DeepSeek is set to release V4, a natively multimodal model with roughly one trillion parameters that generates text, images, and video — and it was trained on Huawei and Cambricon hardware.
Mistral AI launches Large 3, a 123B parameter open-weight model with built-in tool calling, structured output, and a 500K token context window. It matches GPT-5 Turbo on function calling benchmarks.
The 398B parameter model combines Mamba-style state space layers with attention layers, matching GPT-5 and Claude Sonnet 4.5 on major reasoning benchmarks while cutting inference costs by 80%.
Google's Nano Banana 2 replaces its predecessor across all Gemini models with faster generation, 4K output, and real-time web knowledge baked into every image.
Forget the gimmick prompts. These 50 ChatGPT prompts are the ones that professionals actually use every day to save hours of work.
A head-to-head comparison of Anthropic's Claude 4 and OpenAI's GPT-5 — covering reasoning, coding, pricing, and which model developers should choose in 2026.
Chinese AI lab DeepSeek releases R2, a reasoning model that matches GPT-5 on major benchmarks — and gives it away under the Apache 2.0 license.
All three platforms now offer AI-powered research capabilities, but they take fundamentally different approaches. We tested them head-to-head on real research tasks.
A practical comparison of what you actually get on the free tiers of ChatGPT, Claude, and Gemini — model access, limits, features, and which one is best for different use cases.
Claude's free tier uses Sonnet 4.6. Pro is $20/mo (Opus 4.6 access), Max is $100/mo. API pricing: Opus $15/$75, Sonnet $3/$15, Haiku $0.80/$4 per 1M tokens.
GPT-4.5 is now available to ChatGPT Plus subscribers at $20/month with daily usage caps. Previously Pro-only ($200/mo). Faster than GPT-5, better than GPT-4o.
Free ChatGPT uses GPT-4o in 2026. It supports text, images, and voice with daily message limits. GPT-4.5 requires Plus ($20/mo), GPT-5 requires Pro ($200/mo).
The 8-billion-parameter model uses a new architecture that makes its internal decision-making process interpretable by default, addressing a key limitation of black-box AI systems.
ByteDance's new video generation model produces cinematic clips so convincing that Hollywood is sounding the alarm about the future of filmmaking.
Gemini 3.1 Pro scores 77.1% on ARC-AGI-2, more than doubling its predecessor's reasoning capabilities, and is rolling out across Google's AI platforms.
The massive mixture-of-experts model trained on Huawei Ascend chips scores 77.8% on SWE-bench Verified and ships with a fully permissive open-source license.
The 3.35B parameter models deliver balanced quality across 67 languages and can run on laptops and phones, targeting the long tail of underserved languages.
OpenAI's Sora video generator is now publicly available with 3 tiers: free preview for ChatGPT users, a Creator plan, and Enterprise. Here's pricing and what each includes.
GPT-5 sets new records in code generation, multi-modal reasoning, and real-time analysis across text, image, and audio. Here's what it can do and how it compares.
Anthropic's Claude outperforms all models on contract analysis, statutory interpretation, and case law reasoning. Legal experts say the results are 'comparable to junior associate work.'
The new model activates only 17B parameters per pass across a 397B mixture-of-experts architecture, supports 201 languages, and is designed to power autonomous AI agents.