LLM Articles

Same list price, different fine print. We compare GPT-6.1 Sol and Claude Sonnet 5.5 on benchmarks, cache and long-context costs, cloud access, and a hands-on coding test.

OpenAI's GPT-6.1 Sol claims GPT-6 Astra-level capability at a fifth of the task cost, with a 1,050,000-token context window and $2/$10 per million token pricing.

We rank the 9 best coding LLMs of September 2026, from Claude Opus 5.5 to open-weight models you can run locally, using SWE-bench Pro and Terminal-Bench.

Explore a new wave of open-source projects offering practical Jev alternatives for fast, local, and cost-efficient AI decision-making.

Two same-day efficiency releases, priced two to one. We compare GPT-6 Sol and Claude Opus 5.5 on benchmarks, real workload costs, access, and a hands-on Tetris build.

In 1966, the chatbot ELIZA could do little more than rephrase a user’s statements as questions. Sixty years later, large language models can plan, write code, and use tools on their own. Here, we will walk through the history of LLMs across 8 eras, and what each breakthrough actually changed.

xAI's Grok, a new coding and knowledge-work model, runs at $2/$6 per million tokens and tops frontier rivals on some benchmarks. Here's what's new, how it compares to the competition, and how it upgrades on its predecessor.

Jev decides in milliseconds and cannot write a word; GPT-6 Astra finishes whole tasks unattended. Here is which pipeline steps belong to each model, and what they cost.

PrismML's Bonsai 2 27B compresses a 27B multimodal model to 5.9GB while keeping 98.2% of full-precision benchmark performance, and it runs on a laptop.

Alibaba's Qwen3.8-Omni-Flash handles text, image, audio, and video with a 1M-token context window, beating Gemini 3.8 Flash on audio benchmarks.

DeepSeek's open-weight V4.1 Flash matches Gemini 3.8 Flash on agentic coding benchmarks at a third of the price. We compare specs, costs, and a hands-on build test.

TypeSafe's Jev is a new class of AI model, a System One Model, that returns typed decisions with calibrated probabilities instead of text, running 40-200x faster than frontier LLMs.