Which LLM runs on
your machine?
Tell us what's under the hood. We'll tell you what runs, how fast, and how to install it — step by step, in plain English.
Built around your decision, not vendor benchmarks.
Four practical tools that answer the questions you actually have when picking an LLM.
Hardware-matched rankings
Best local LLM for RTX 4090, RTX 5090, Mac M4 Max, Snapdragon X — cut through the noise with rankings that respect your VRAM, memory, and target speed.
Cost ROI: self-hosted vs API
Sliders for your monthly token volume, electricity cost, GPU amortization. Real break-even point against GPT-5, Claude, Gemini, DeepSeek — updated pricing.
Public API & MCP server
178 JSON endpoints under CC BY 4.0, free to use in your own tools. Official MCP server on GitHub for ChatGPT, Claude Desktop, and Cursor.
Independent benchmark pipeline
Continuous benchmarking against published model versions and quantizations. No press-kit numbers, no marketing decks — just tokens/sec backed by our open data API.
Independent rankings, updated monthly.
Every guide is benchmark-driven, with measured scores and verdicts. No press-kit numbers.
Best LLM for Coding 2026
Claude Sonnet 4.6 wins for closed-source; Qwen3-Coder 32B for local. Full leaderboard.
Best local LLM for RTX 4090
Top picks at Q4_K_M and Q5_K_M. Measured tokens/sec, real benchmarks.
Best LLM for Writing 2026
Long-form, creative fiction, structured content. EQ-Bench and voice fidelity.
Featured models, hand-picked.
A snapshot of 12 most-tracked open-weight LLMs — specs, VRAM, license, one click away. Full catalog covers 165+ models.
Llama 3.3 70B Instruct
Qwen 3 235B-A22B
Qwen 3 32B
Qwen 3 14B
Qwen 3 8B
Qwen 2.5 Coder 32B
DeepSeek R1 Distill 32B
Mistral Small 3.1 24B
Mistral Nemo 12B
Gemma 2 27B
Phi-4 14B
Llama 3.2 Vision 11B
Independent. Skin in the game.
BestLLMfor is built and operated by Mohamed Meguedmi — one engineer, a continuous benchmark pipeline, a public data API and an open-source MCP server.
No VC, no SEO farm. One engineer obsessed with tracking every model worth running, and publishing what the numbers say — transparently.
| Models tracked | 165+ (daily) |
| Quants tested | Q4 · Q5 · Q8 · FP16 |
| Data API | 178 JSON · CC BY 4.0 |
| MCP server | Public · open source |
| Methodology | see how → |