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qwen3.5:35b-a3b-q4_K_M

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Good

Jul 31, 2026 · Intel Core™ i9-14900K

vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score
79 vs 59
Hardware Fit
62 vs 84
Quality Score
86 vs 48

Hardware

qwen3.5:35b-a3b-q4… vicuna:13b
MachineMicro-Star International Co., Ltd. MS-7D98MacBook Air
CPUIntel Core™ i9-14900KApple M4
Cores3210
RAM128 GB32 GB
GPUIntel(R) UHD Graphics 770, NVIDIA Quadro K4000Apple M4
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:35b-a3b-q4… vicuna:13b
Tokens/sec16.413.4
First chunk787 msN/A
TTFT787 ms438 ms
Load time19.3 s0.6 s
Memory usage21.8 GB10.3 GB
Memory %17%32%

HW Fit Score Breakdown

qwen3.5:35b-a3b-q4_K_M

Speed
15/50
TTFT
17/20
Memory
30/30

vicuna:13b

Speed
24/50
TTFT
30/20
Memory
30/30

Quality

qwen3.5:35b-a3b-q4_K_M

Reasoning
17/20
Coding
17/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

vicuna:13b

Reasoning
7/20
Coding
5/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest