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ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

qwen3.5-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
76 vs 75
Hardware Fit
89 vs 54
Quality Score
71 vs 84

Hardware

ministral-3:8b qwen3.5-27b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

ministral-3:8b qwen3.5-27b
Tokens/sec19.56.6
First chunk328 ms4364 ms
TTFT328 ms4.4 s
Load time1.5 sN/A
Memory usage10.6 GB15.0 GB
Memory %33%47%

HW Fit Score Breakdown

ministral-3:8b

Speed
39/50
TTFT
20/20
Memory
30/30

qwen3.5-27b

Speed
13/50
TTFT
11/20
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

qwen3.5-27b

Reasoning
17/20
Coding
18/20
Instruction
11/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View ministral-3:8b details | View qwen3.5-27b 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