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qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen3.6:35b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
81 vs 70
Hardware Fit
96 vs 66
Quality Score
75 vs 71

Hardware

qwen3:8b qwen3.6:35b
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M4 Pro
Cores2014
RAM32 GB48 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.4.1
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3:8b qwen3.6:35b
Tokens/sec109.130.6
First chunk190 ms304 ms
TTFT190 ms30.0 s
Load time4.3 s10.0 s
Memory usage5.6 GB28.1 GB
Memory %18%59%

HW Fit Score Breakdown

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
26/30

qwen3.6:35b

Speed
45/50
TTFT
0/20
Memory
21/30

Quality

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen3.6:35b

Reasoning
18/20
Coding
12/20
Instruction
12/20
Structured
6/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Weak Math: Strong 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