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smollm2:1.7b

OLLAMA GGUF

llama · 1.7B · Q8_0

Good

Mar 2, 2026 · Apple M4

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

Global Score
64 vs 79
Hardware Fit
100 vs 98
Quality Score
49 vs 71

Hardware

smollm2:1.7b ministral-3:8b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1012
RAM32 GB24 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

smollm2:1.7b ministral-3:8b
Tokens/sec51.841.4
First chunkN/A257 ms
TTFT84 ms257 ms
Load time0.4 s5.2 s
Memory usage3.7 GB9.0 GB
Memory %12%38%

HW Fit Score Breakdown

smollm2:1.7b

Speed
40/50
TTFT
30/20
Memory
30/30

ministral-3:8b

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

Quality

smollm2:1.7b

Reasoning
7/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

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

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