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codestral:latest

OLLAMA GGUF

llama · 22.2B · Q4_0

Good

Sep 15, 2026 · Intel Core™ i5-14400F

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

Global Score
76 vs 66
Hardware Fit
91 vs 100
Quality Score
69 vs 52

Hardware

codestral:latest hf.co/empero-ai/Qw…
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M4
Cores1610
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 5060 TiApple M4
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.6.1
Archx64arm64
Power Modebalancedbalanced

Performance

codestral:latest hf.co/empero-ai/Qw…
Tokens/sec27.426.5
First chunk86 ms447 ms
TTFT86 ms447 ms
Load time7.2 s3.3 s
Memory usage12.6 GB4.8 GB
Memory %40%30%

HW Fit Score Breakdown

codestral:latest

Speed
43/50
TTFT
20/20
Memory
28/30

hf.co/empero-ai/Qwen3.8…

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

Quality

codestral:latest

Reasoning
11/20
Coding
17/20
Instruction
11/20
Structured
13/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

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