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qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Excellent

Aug 18, 2026 · Apple M4 Max

Global Score
65 vs 81
Hardware Fit
92 vs 68
Quality Score
54 vs 87

Hardware

qwen2.5:1.5b qwen/qwen3.8-27b
MachineiMacMacBook Pro
CPUIntel Core™ i7-4771Apple M4 Max
Cores816
RAM32 GB128 GB
GPUNVIDIA GeForce GTX 780MApple M4 Max
OSmacOS 15.7.3macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:1.5b qwen/qwen3.8-27b
Tokens/sec19.616.4
First chunk690 ms5 ms
TTFT690 ms742 ms
Load time21.4 sN/A
Memory usage1.0 GB38.5 GB
Memory %3%30%

HW Fit Score Breakdown

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
Memory
30/30

qwen/qwen3.8-27b

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

Quality

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate

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

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