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codellama:7b

OLLAMA GGUF

llama · 7B · Q4_0

Good

Mar 1, 2026 · Apple M4

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
63 vs 81
Hardware Fit
97 vs 95
Quality Score
49 vs 75

Hardware

codellama:7b qwen3:8b
MachineMacBook AirASUS
CPUApple M4Intel Core™ i5-14600KF
Cores1020
RAM32 GB32 GB
GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

codellama:7b qwen3:8b
Tokens/sec23.6108.3
First chunkN/A169 ms
TTFT297 ms169 ms
Load time0.9 s1.7 s
Memory usage12.6 GB5.6 GB
Memory %39%18%

HW Fit Score Breakdown

codellama:7b

Speed
37/50
TTFT
30/20
Memory
30/30

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
25/30

Quality

codellama:7b

Reasoning
6/20
Coding
7/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View codellama:7b details | View qwen3:8b 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