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qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

llama4:scout

OLLAMA GGUF

llama4 · 108.6B · Q4_K_M

Excellent

Oct 3, 2026 · Cortex-X925

Global Score
83 vs 81
Hardware Fit
68 vs 64
Quality Score
90 vs 88

Hardware

qwen/qwen3.8-27b llama4:scout
MachineMacBook ProNVIDIA NVIDIA_DGX_Spark
CPUApple M4 MaxCortex-X925
Cores1620
RAM128 GB122 GB
GPUApple M4 MaxDevice 2e12
OSmacOS 26.5.2Ubuntu 24.04.5 LTS
Archarm64arm64
Power Modebalancedperformance

Performance

qwen/qwen3.8-27b llama4:scout
Tokens/sec27.619.6
First chunk10 ms677 ms
TTFT4.6 s677 ms
Load timeN/A13.1 s
Memory usage21.0 GB63.4 GB
Memory %16%52%

HW Fit Score Breakdown

qwen/qwen3.8-27b

Speed
32/50
TTFT
6/20
Memory
30/30

llama4:scout

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

Quality

qwen/qwen3.8-27b

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

llama4:scout

Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
13/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen/qwen3.8-27b details | View llama4:scout 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