AI Models

Meta Muse Wonder vs Wonder Full: What's New, Who Can Use Each, Pricing, and Benchmarks

A practical guide to Meta’s Muse Wonder release: why only the smaller of the two models is open to developers, the API price against Muse Spark and Claude Opus 5.5 and what cost per task does and does not tell you, Standard versus Contributor data terms, what Active Memory and Active Focus mean, where Muse Wonder Full leads and trails in Meta’s benchmarks, independent Artificial Analysis scores, what changes for Muse app users, and what has been reported but not published.

OpenAI

GPT-6 Sol Benchmarks: How to Read the Scores and Run Your Own Evaluation

GPT-6 Sol benchmarks mean something when task set, reasoning effort, tools, scoring, latency, and cost are disclosed. How to build your own evaluation harness.

OpenAI

GPT-6 Sol vs GPT-6 Astra: A Workload-Based Comparison

GPT-6 Sol vs GPT-6 Astra is a workload call: Astra for the hardest end-to-end work, Sol for cost-balanced coding and agentic tasks. How to validate it.

Claude Sonnet 5.5

Claude Sonnet 5.5: Faster at the Same Token Price, but Not Always Cheaper per Task

Claude Sonnet 5.5 costs the same per token as Sonnet 5 and generates output faster. Whether it costs less per task depends on the effort setting: Artificial Analysis measures a saving at Medium and a higher bill at Max, where Opus 5.5 at Xhigh matches its score for less. This guide covers the benchmark table with Anthropic’s footnotes, the six changes that can break API integrations, the first cyber safeguards on a Sonnet model, and how to divide work between Sonnet 5.5 and Opus 5.5.

GPT-6

GPT-6 Sol and Luna: What's New, Pricing, Benchmarks, and Who Should Use Them

A practical guide to OpenAI’s GPT-6 Sol and Luna: the token price cuts and what they do and do not guarantee, the new five-hour usage limits in ChatGPT Work and Codex, coding and factuality claims, benchmark results with their footnotes, availability by plan, and which model fits which job.

Claude Opus 5.5

Claude Opus 5.5: What's New, Pricing, Benchmarks, and Who Should Use It

A practical guide to Claude Opus 5.5: agentic coding upgrades, the pricing table against Opus 5 and Fable 5.1, how the 40% workload-savings claim is built and what independent testing shows so far, benchmark results with their footnotes, safety changes including the loss of thinking-off mode, availability, and who should switch.

Grok

Grok Usage Limits: A Practical, Verification-First Guide

Why Grok usage limits differ by surface, subscription, model, and demand, and how to plan work within the current account notice instead of an undated number.

Grok

Grok 4.7 Keeps the $2 and $6 Token Rates, but xHigh Benchmarks and Higher Token Use Complicate the Upgrade

Grok 4.7 ships at Grok 4.6’s starting token rates with higher vendor benchmark scores, but most of SpaceXAI’s comparisons pair Grok 4.7 at xHigh effort with Grok 4.6 at High, and independent testing shows the new model generating far more tokens per task. Here is what is published, what Artificial Analysis measured, and how to run a fair test.

AI Courses

Everything You Need to Know About LLM Courses

What an LLM course should cover: foundations, token and context limits, retrieval, evaluation design, deployment boundaries, and a capstone with evidence.

OpenAI

GPT-Live-1 in the API: Pricing, Full-Duplex Voice, and the Configuration Behind Every Benchmark

GPT-Live-1 is now available to developers at $0.05 per minute, billed per second, with backend models charged separately. The voice model listens while it speaks and delegates real work to a second model, which means every performance number OpenAI published describes a pair, not the voice model alone. Pricing, the delegation architecture, the full benchmark table with its configurations, and what to verify before shipping.