Local Qwen 27B and Flash-Next vs Claude Opus 4.6 on three coding tasks

Short_Regular_7191Oct 3

Ran two local models against Opus 4.6 on the same tasks to see how much real coding work can stay local, and reports that one of them tied. Posted as numbers, not a fight.

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Launch: Qwen3.8-Flash-Next
Use case: Benchmarks
Format: Build
Source: reddit.com

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0xSero

@0xSero · Sep 29

Reports prefill and decode speeds for a single 24-32GB GPU plus NVMe, including an Intel Arc B70 result.

Niko1221

@Niko1221 · Sep 24

Open-source inference engine with an OpenAI/Anthropic-style local API that fits the 125B MoE onto a 12GB consumer GPU plus system RAM. The project behind the model's local-running surge.

MiaAI-Lab

@MiaAI-Lab · Sep 4

Step-by-step recipe to squeeze the 125B model onto one DGX Spark instead of two, with config and measured throughput.

peonist-ai

@peonist-ai · Aug 26

Container-based server tuned for the gfx1151 Strix Halo APU, aimed at squeezing maximum tokens per second from the 125B model on a mini-PC.

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Local Qwen 27B and Flash-Next vs Claude Opus 4.6 on three coding tasks

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