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ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

glm4:9b

OLLAMA GGUF

chatglm · 9.4B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
79 vs 76
Hardware Fit
98 vs 88
Quality Score
71 vs 71

Hardware

ministral-3:8b glm4:9b
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1210
RAM24 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.6.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

ministral-3:8b glm4:9b
Tokens/sec41.419.0
First chunk257 ms290 ms
TTFT257 ms290 ms
Load time5.2 s0.8 s
Memory usage9.0 GB8.1 GB
Memory %38%25%

HW Fit Score Breakdown

ministral-3:8b

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

glm4:9b

Speed
38/50
TTFT
20/20
Memory
30/30

Quality

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

glm4:9b

Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View ministral-3:8b details | View glm4:9b 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