
OpenRouter Review: One API Key to Rule Them All
OpenRouter routes your API calls to 300+ models across every major provider through a single endpoint. We benchmark its routing, latency overhead, pricing, and reliability against direct API access.
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OpenRouter routes your API calls to 300+ models across every major provider through a single endpoint. We benchmark its routing, latency overhead, pricing, and reliability against direct API access.

Inception Labs launches Mercury 2, the first diffusion-based reasoning language model, generating over 1,000 tokens per second on Blackwell GPUs at a fraction of the cost of conventional autoregressive models.

Google's head of global startups warns that LLM wrapper companies and AI aggregators face extinction as margins collapse and Big Tech absorbs their features.

YC-backed startup Guide Labs releases Steerling-8B under Apache 2.0 - an 8.4B parameter model with a built-in concept module that traces every output token back to its training data.

Google releases Gemini 3.1 Pro with 77.1% on ARC-AGI-2, more than doubling the reasoning capability of its predecessor and beating Claude Opus 4.6 and GPT-5.2 on most benchmarks.

A $34M-funded health startup just shipped an AI doctor that remembers every symptom, tracks 100+ biomarkers, and calls you out when you lie about your diet. The bet is that a machine with perfect memory can outperform a physician with 15 minutes.

A practical, hands-on guide for software developers who want to finetune open-source LLMs and distill larger models into smaller, faster ones - covering techniques, tools, datasets, and cloud GPU options.

Anthropic's mid-tier model delivers 98% of Opus performance at one-fifth the cost, with a 1M token context window and near-parity on coding and computer use benchmarks.

Google releases Gemini 3.1 Pro with dramatically improved reasoning, topping Claude Opus 4.6 and GPT-5.2 on most industry benchmarks.

Alibaba releases Qwen 3.5, a 397-billion-parameter open-weight model that claims to outperform US frontier models at a fraction of the cost.

A beginner-friendly explanation of Retrieval-Augmented Generation (RAG) - the technique that lets AI pull in real facts before answering your questions.

A practical guide to choosing the right large language model in 2026, covering task types, budgets, context windows, and the open vs proprietary debate.