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GPU spend, ops headcount, latency, and break-even volume for hosting Llama, Qwen, DeepSeek, and Mistral yourself vs API. With per-token cost curves at 4 scales.

Paged attention, prefix caching, MQA/GQA, MLA, and quant-aware caching — when each technique pays off and the inference-cost numbers behind it.

Cross-model quality regression, throughput lift, and VRAM savings at GPTQ-4, AWQ-4, INT8, and FP8 — benchmark data across 6 open-weight models.

Seven serverless inference providers compared on price, latency, model availability, and throughput. 60+ data points across 12 popular models.

Sourced 2026 multimodal AI benchmarks: MMMU-Pro, Video-MMMU, LVBench, speech WER and agentic coding scores, each with model, setting, publisher and date.

Per-query energy and water data for frontier models, training-vs-inference split, and emissions per million tokens. Methodology and trend analysis.

Updated NIAH-2 results across 1M-context models — single-needle, multi-needle, and reasoning-over-context. Where models silently fail above 200K tokens.

Multi-agent frameworks compared on graph control, observability, durable execution, MCP support, and agency fit. With 4 reference architectures.

Head-to-head: GPT-5.5 and Claude Opus 4.7 on agentic coding, computer use, 1M context, pricing, and the right model for each production workload.

OpenAI's GPT-5.5 ships April 23, 2026 with 1M context, Thinking and Pro variants, 82.7% Terminal-Bench, and same latency as GPT-5.4. Pricing inside.

When 1M context pays off — and when it bankrupts you. Token-spend math, prompt-cache strategy, and break-even tables for agentic Claude Opus 4.7 workloads.

Side-by-side input, output, cached, and batch pricing for 30 frontier and open-weight models across 12 providers. Updated April 2026 with 200+ price points.

Read AI hallucination benchmarks with clear task definitions, error denominators, citation checks, and reproducible evaluation methods for your team.

Independent latency data read Nov 5, 2026: time to first answer token by endpoint, reasoning effort and speed tier, with vendor claims labelled separately.

Why $/token is the wrong unit and $/successful-task is the right one. Formulas, worked examples across 6 task families, and a downloadable scoring template.

Browser market share 2026: Chrome, Safari, Edge and Firefox by device, continent and country, from StatCounter and other sourced, dated datasets.

Search engine market share 2026: Google, Bing, Yandex and Baidu by device, continent and country, plus AI chatbot referrals, from sourced, dated data.

Mobile OS market share 2026: iOS vs Android by region, country, OS version, shipments and app spending, with every figure sourced and dated.

Bounce rate benchmarks for 2026: GA4 medians from Littledata and Databox, AI-referral bounce from Contentsquare, device and page-speed data, with definitions.

Form conversion rate benchmarks for 2026: 100+ data points by industry, form length, field count, and traffic source, with B2B and ecommerce splits.

Webinar statistics for 2026 from ON24, Goldcast, Livestorm and others: 2025 attendance rates, live vs on-demand viewing, timing, engagement and CTA conversion.

SMS marketing statistics for 2026: why the 98% open rate is a 2010 figure, plus Klaviyo and Postscript click, order and revenue benchmarks and FCC rules.

App Store Optimization (ASO) statistics for 2026: 100+ data points on keyword ranking, conversion, screenshot impact, and category-level install lift.

Customer service AI agent statistics for 2026: 120+ data points on deflection rate, CSAT impact, time-to-resolve, and human-in-the-loop handoff metrics.