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Deep dives and practical guides on LLM performance, pricing changes, and new model comparisons.(23 posts)
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Practical guide to choosing the best LLM for coding workloads in May 2026, comparing GPT-5.5, GPT-5.3-Codex, Gemini 3.1 Pro, and budget options.
OpenAI's GPT-5.4 scores 56.8 quality at $5.63/M tokens. Gemini 3.1 Pro nearly matches it for 20% less. A pricing analysis.
Google's Gemini 3.1 Pro Preview closes to within 0.1 points of Claude Opus 4.7 while costing $4.50 vs $10.00/M tokens. Plus: Grok 4.3 emerges as the speed-value pick.
Practical guide to choosing the best LLM under $1/M tokens. DeepSeek V4 Pro leads on price, Kimi K2.6 wins on quality. Decision table included.
GPT-5.5 high and medium reasoning modes share a price tag but diverge by 2.2 quality points. When does the gap matter?
GPT-5.5 leads at 60.2 quality but costs $11.25/M tokens. Gemini 3.1 Pro matches Opus 4.7 at under half the price. Weekly LLM briefing for April 27.
Practical guide to choosing the best LLM for coding workloads in April 2026, with benchmarks, pricing, and decision tables.
Kimi K2.6 from MoonshotAI delivers near-GPT-5.3-Codex quality at less than a third the price. We break down when it wins and when it doesn't.
Claude Opus 4.7 edges out Gemini 3.1 Pro Preview on quality while Grok 4.20 hits 222 tok/s. Weekly LLM market briefing for April 20, 2026.
Claude Code issue #42796 reveals a deeper problem: frontier AI vendors change model behavior without meaningful disclosure, and users default to cynicism.
Anthropic's Claude Mythos Preview signals that the strongest coding and cyber models are becoming gated infrastructure, not public products.
Deep analysis of the Claude Code source map leak on March 31, 2026 — what was exposed, what wasn't, and what it means for the coding agent market.