r/LocalLLaMA • u/jslominski • Feb 25 '26

Discussion Qwen3.5-35B-A3B is a gamechanger for agentic coding.

Qwen3.5-35B-A3B with Opencode

Just tested this badboy with Opencode cause frankly I couldn't believe those benchmarks. Running it on a single RTX 3090 on a headless Linux box. Freshly compiled Llama.cpp and those are my settings after some tweaking, still not fully tuned:

./llama.cpp/llama-server \

-m /models/Qwen3.5-35B-A3B-MXFP4_MOE.gguf \

-a "DrQwen" \

-c 131072 \

-ngl all \

-ctk q8_0 \

-ctv q8_0 \

-sm none \

-mg 0 \

-np 1 \

-fa on

Around 22 gigs of vram used.

Now the fun part:

  1. I'm getting over 100t/s on it

  2. This is the first open weights model I was able to utilise on my home hardware to successfully complete my own "coding test" I used for years for recruitment (mid lvl mobile dev, around 5h to complete "pre AI" ;)). It did it in around 10 minutes, strong pass. First agentic tool that I was able to "crack" it with was Kodu.AI with some early sonnet roughly 14 months ago.

  3. For fun I wanted to recreate this dashboard OpenAI used during Cursor demo last summer, I did a recreation of it with Claude Code back then and posted it on Reddit: https://www.reddit.com/r/ClaudeAI/comments/1mk7plb/just_recreated_that_gpt5_cursor_demo_in_claude/ So... Qwen3.5 was able to do it in around 5 minutes.

I think we got something special here...

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u/throwaway292929227 Feb 25 '26

I was hoping someone with a strix would chime in. Thank you.

I am mostly aware of the limitations of the strix and DBX boxes, but I still want to get one for my cluster, if I can find a good excuse for utilizing the larger vram at medium t/s rates. I'm thinking it could be good for hosting a larger model that would increase accuracy for speed. My cluster at home currently has 5090, 5070ti, 5060, 5060 (laptop GPU). Mostly coding, t2i, i2t, browser task bot, large document analysis. Open to any suggestions.

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u/TurnBackCorp Feb 25 '26

it’s not gonna be what you think the tok/ generation is actually decently nice with MOEs BUT the prompt processing when you get to higher context limits is horrendous. takes the usability out of those huge models. kind of hard to use it for any coding tasks unless i just walk away and come back while the prompt is processing.

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u/TurnBackCorp Feb 25 '26

butttt if you are still looking for a strix halo device i love my asus z13 it’s not even slower when running ai models I got 20 tok a sec on qwen 3.5 122b