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ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

qwen3-1.7b

LM-STUDIO GGUF

qwen3 · 1.7B · Q4_K_M

Not Rec.

Mar 7, 2026 · Intel Core™ i5-5300U

Global Score
76 vs 19
Hardware Fit
89 vs 64
Quality Score
71 vs 0

Hardware

ministral-3:8b qwen3-1.7b
MachineMacBook AirLENOVO 20BUS00700
CPUApple M4Intel Core™ i5-5300U
Cores104
RAM32 GB16 GB
GPUApple M4Intel(R) HD Graphics 5500
OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

ministral-3:8b qwen3-1.7b
Tokens/sec19.55.9
First chunk328 ms2111 ms
TTFT328 ms2.1 s
Load time1.5 sN/A
Memory usage10.6 GB1.2 GB
Memory %33%8%

HW Fit Score Breakdown

ministral-3:8b

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

qwen3-1.7b

Speed
21/50
TTFT
19/20
Memory
24/30

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

qwen3-1.7b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View ministral-3:8b details | View qwen3-1.7b 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