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smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

Gemma4-26B:26b

OLLAMA GGUF

gemma4 · 25.8B · Q4_K_M

Excellent

Aug 19, 2026 · AMD Ryzen 9 9955HX3D 16-Core Processor

Global Score
52 vs 90
Hardware Fit
100 vs 89
Quality Score
32 vs 90

Hardware

smollm2-360m-instr… Gemma4-26B:26b
MachineMacBook AirHP HyperX OMEN Gaming Laptop 16-ap1xxx
CPUApple M4AMD Ryzen 9 9955HX3D 16-Core Processor
Cores1032
RAM32 GB31 GB
GPUApple M4AMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPU
OSmacOS 26.3Microsoft Windows 11 Home 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

smollm2-360m-instr… Gemma4-26B:26b
Tokens/sec121.139.2
First chunk106 ms1484 ms
TTFT106 ms1.5 s
Load timeN/A42.1 s
Memory usage0.7 GB17.0 GB
Memory %2%55%

HW Fit Score Breakdown

smollm2-360m-instruct

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

Gemma4-26B:26b

Speed
49/50
TTFT
17/20
Memory
23/30

Quality

smollm2-360m-instruct

Reasoning
4/20
Coding
3/20
Instruction
12/20
Structured
7/15
Math
2/15
Multilingual
4/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Weak

Gemma4-26B:26b

Reasoning
17/20
Coding
19/20
Instruction
17/20
Structured
14/15
Math
13/15
Multilingual
10/10
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