#benchmark
7 posts tagged with #benchmark
Every article below is hand-written, technically reviewed, and focused on benchmark. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.
AI and Machine Learning Qwen 4 27B? Why Alibaba Skipped It [2026 Benchmark]
You searched for a Qwen 4 27B local LLM benchmark — but there's no Qwen 4. Here's the real Alibaba release, how the Apache-licensed 27B stacks up against Llama 4 and Mistral, and whether it's worth switching.
Technology Jev vs Laya Head-to-Head [2026]: Typed-Output AI
A transparent first-look comparison of Jev and Laya, two task-specific AI models pitched against GPT and Llama. Here's what's verifiable, what isn't, and when a typed-output model beats a full LLM.
Developer Tools Design to Code Tools Benchmark [2026]: 5 Tools, Real Diffs
I ran the same messy SaaS dashboard through 5 design-to-code tools and scored the outputs on a11y, semantics, bundle size, editability, and fidelity. Here’s the reproducible harness—and what actually wins in production.
Developer Tools Rust Allocator: jemalloc vs mimalloc vs tcmalloc for P99 [2026]
Allocator switching can cut P99 latency in Rust services. It can also do absolutely nothing. Here’s how to benchmark it like an adult and tune jemalloc without cargo-culting.
AI and Machine Learning Gemma 4 26B CPU Inference Benchmark: 5 tok/s Production Math [2026]
A $300 Xeon from 2013 runs Gemma 4 26B at 5 tok/s with no GPU. Here's the memory bandwidth math, quantization tradeoffs, and production decision framework nobody else is covering.
AI and Machine Learning Gemma 4 12B vs GPT-4o Mini vs Claude Haiku: Is Google's Local LLM Good Enough to Replace API Calls? [2026]
I ran Gemma's 12B model locally via Ollama and compared it against GPT-4o Mini and Claude Haiku on real dev tasks — here's when the free local model actually beats paid APIs.
Technology Gemma 3 on Raspberry Pi 5: Benchmarked [2026]
I benchmarked every runnable Gemma variant on a Raspberry Pi 5 — Gemma 3 1B, 4B, QAT models, and Gemma 3n — with real tokens-per-second numbers, RAM usage, and a definitive size guide for Pi owners.
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