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qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

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

qwen3.8-27b-mlx

LM-STUDIO UNKNOWN

27B

Good

Aug 17, 2026 · Apple M5 Max

Global Score
85 vs 66
Hardware Fit
77 vs 91
Quality Score
88 vs 55

Hardware

qwen3.8:27b-bf16 qwen3.8-27b-mlx
MachineDell Inc. PowerEdge XE8545MacBook Pro
CPUAMD EPYC 7713 64-Core ProcessorApple M5 Max
Cores12818
RAM1007 GB64 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Apple M5 Max
OSRocky Linux 8.10macOS 27.0
Archx64arm64
Power Modeunknownbalanced

Performance

qwen3.8:27b-bf16 qwen3.8-27b-mlx
Tokens/sec27.233.2
First chunk237 ms7 ms
TTFT237 ms311 ms
Load time43.8 sN/A
Memory usage68.8 GB0.5 GB
Memory %7%1%

HW Fit Score Breakdown

qwen3.8:27b-bf16

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

qwen3.8-27b-mlx

Speed
41/50
TTFT
20/20
Memory
30/30

Quality

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

qwen3.8-27b-mlx

Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
View qwen3.8:27b-bf16 details | View qwen3.8-27b-mlx details

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