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qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
85 vs 80
Hardware Fit
100 vs 52
Quality Score
79 vs 92

Hardware

qwen2.5:7b qwen/qwen3.8-27b
MachineMACHENIKE L16PMacBook Pro
CPUIntel Gen Intel® Core™ i9-12900HXApple M4 Max
Cores2416
RAM32 GB128 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUApple M4 Max
OSMicrosoft Windows 11 专业版 10.0.26300macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:7b qwen/qwen3.8-27b
Tokens/sec52.416.1
First chunk48 ms14 ms
TTFT48 ms5.8 s
Load time2.0 s8.5 s
Memory usage4.4 GB0.0 GB
Memory %14%0%

HW Fit Score Breakdown

qwen2.5:7b

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

qwen/qwen3.8-27b

Speed
17/50
TTFT
5/20
Memory
30/30

Quality

qwen2.5:7b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen/qwen3.8-27b

Reasoning
19/20
Coding
16/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen2.5:7b details | View qwen/qwen3.8-27b 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