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smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

gemma4:31b

OLLAMA GGUF

gemma4 · 31.3B · Q4_K_M

Not Rec.

Apr 13, 2026 · Apple M4 Max

Global Score
65 vs 76
Hardware Fit
99 vs 46
Quality Score
51 vs 89

Hardware

smollm2-1.7b-instr… gemma4:31b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M4 Max
Cores1016
RAM32 GB64 GB
GPUApple M4Apple M4 Max
OSmacOS 26.3macOS 26.3.1
Archarm64arm64
Power Modebalancedbalanced

Performance

smollm2-1.7b-instr… gemma4:31b
Tokens/sec28.522.4
First chunk393 ms565 ms
TTFT393 ms30.0 s
Load timeN/A6.9 s
Memory usage3.2 GB43.9 GB
Memory %10%69%

HW Fit Score Breakdown

smollm2-1.7b-instruct

Speed
50/50
TTFT
20/20
Memory
29/30

gemma4:31b

Speed
30/50
TTFT
0/20
Memory
16/30

Quality

smollm2-1.7b-instruct

Reasoning
10/20
Coding
10/20
Instruction
13/20
Structured
11/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate

gemma4:31b

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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