Guides

Benchmark-guided recommendations for local LLMs

Use these guides when you want a direct answer, not a table of numbers. Each guide translates benchmark data into a practical choice for coding, OpenClaw, or consumer hardware.

Guide

Best Local LLMs for Coding

Pick a local coding model based on quality, speed, and whether it fits your GPU without constant swapping.

  • Prioritize code quality and instruction following before raw token speed.
  • 7B to 14B coder models are the usual sweet spot for most consumer GPUs.
  • Use the benchmark pages to compare the same model across different hardware and tools.
Read guide

Guide

Which Model to Use for OpenClaw

Choose a model for OpenClaw based on planning quality, tool selection, and enough context to keep the agent coherent.

  • Agent planning and tool selection matter more than tiny speed differences.
  • Use the benchmarks to compare quality on scenarios that resemble agent work.
  • Check hardware performance so your chosen model stays practical on your GPU.
Read guide

Guide

Consumer Hardware Performance Guide

Understand how VRAM tiers shape local LLM performance on consumer GPUs and why the best card depends on the models you want to run.

  • VRAM capacity usually sets the real ceiling before raw compute does.
  • Each VRAM tier opens or closes different model sizes and quantization choices.
  • The hardware page is the quickest way to compare practical GPU options.
Read guide

Guide

Best Local LLM for RX 7900 XTX

Find the best local LLM for RX 7900 XTX with benchmark-backed guidance on speed, output quality, context size, and VRAM usage.

  • 24GB VRAM makes 14B-class models the practical sweet spot on RX 7900 XTX.
  • The fastest choice is usually a compact 7B or 8B benchmark winner.
  • Use the benchmark, hardware, and model browser pages to verify the recommendation you pick.
Read guide

Start with the data

These guides stay grounded in the same benchmark pages the rest of the site uses, so you can move from the recommendation to the raw results without leaving the app.

Benchmark resultsBrowse modelsHardware browser