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qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Excellent

Aug 18, 2026 · Apple M4 Max

Global Score
81 vs 81
Hardware Fit
96 vs 68
Quality Score
75 vs 87

Hardware

qwen3:8b qwen/qwen3.8-27b
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M4 Max
Cores2016
RAM32 GB128 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4 Max
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3:8b qwen/qwen3.8-27b
Tokens/sec109.116.4
First chunk190 ms5 ms
TTFT190 ms742 ms
Load time4.3 sN/A
Memory usage5.6 GB38.5 GB
Memory %18%30%

HW Fit Score Breakdown

qwen3:8b

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

qwen/qwen3.8-27b

Speed
18/50
TTFT
20/20
Memory
30/30

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

qwen/qwen3.8-27b

Reasoning
17/20
Coding
18/20
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
View qwen3:8b details | View qwen/qwen3.8-27b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest