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smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

qwen2.5-coder:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
52 vs 68
Hardware Fit
100 vs 100
Quality Score
32 vs 54

Hardware

smollm2-360m-instr… qwen2.5-coder:1.5b
MachineMacBook AirLENOVO 20U30029MB
CPUApple M4Intel Core™ i5-10210U
Cores108
RAM32 GB15 GB
GPUApple M4CometLake-U GT2 [UHD Graphics]
OSmacOS 26.3Pop 24.04 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

smollm2-360m-instr… qwen2.5-coder:1.5b
Tokens/sec121.121.8
First chunk106 ms499 ms
TTFT106 ms499 ms
Load timeN/A4.4 s
Memory usage0.7 GB1.5 GB
Memory %2%10%

HW Fit Score Breakdown

smollm2-360m-instruct

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

qwen2.5-coder:1.5b

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

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

qwen2.5-coder:1.5b

Reasoning
8/20
Coding
11/20
Instruction
13/20
Structured
11/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Strong
View smollm2-360m-instr… details | View qwen2.5-coder:1.5b 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