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qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
89 vs 85
Hardware Fit
95 vs 77
Quality Score
87 vs 88

Hardware

qwen/qwen3-8b qwen3.8:27b-bf16
MachineMac miniDell Inc. PowerEdge XE8545
CPUApple M4 ProAMD EPYC 7713 64-Core Processor
Cores14128
RAM64 GB1007 GB
GPUApple M4 ProGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 15.7.4Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown

Performance

qwen/qwen3-8b qwen3.8:27b-bf16
Tokens/sec33.427.2
First chunk257 ms237 ms
TTFT257 ms237 ms
Load timeN/A43.8 s
Memory usage4.3 GB68.8 GB
Memory %7%7%

HW Fit Score Breakdown

qwen/qwen3-8b

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

qwen3.8:27b-bf16

Speed
27/50
TTFT
20/20
Memory
30/30

Quality

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen3.8:27b-bf16

Reasoning
18/20
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

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