Run OpenClaw on a local Qwen model at 150–250 tok/s

An RTX 5090 with SGLang serving Qwen3.8 made a local model a real alternative to paid frontier APIs.

by /u/Extension_Brick915115 Sep 2026

Prompt for your agent

Goal: Use a fast local model as my OpenClaw daily driver.
Setup: agents used in source: Codex, OpenClaw; tools/MCPs stated: SGLang.
Steps:
1. Serve the model with SGLang on a strong GPU (RTX 5090).
2. Point OpenClaw at it.
3. Compare speed and capability against your paid models.
Rules: ask me before anything irreversible (sending, posting, paying, deleting); don’t invent data, results or tools I haven’t given you; tell me what you couldn’t verify.
Based on: /u/Extension_Brick9151 — https://www.reddit.com/r/openclaw/comments/1wh8pe8/qwen3827b_openclaw_is_amazing/ (summarised from source; the source has no explicit step list)

Steps are our summary of the source (it has no explicit step list). Includes a “Based on” credit line.

I tried this

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Agents, models and tools only what the source states

Agents
Codex OpenClaw
Models
Qwen3.8
Tools
  • SGLang

Sources & credit