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qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

smollm2:360m

OLLAMA GGUF

llama · 361.82M · F16

Marginal

Mar 2, 2026 · Apple M4

Global Score
81 vs 52
Hardware Fit
96 vs 100
Quality Score
75 vs 32

Hardware

qwen3:8b smollm2:360m
MachineASUSMacBook Air
CPUIntel Core™ i5-14600KFApple M4
Cores2010
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3:8b smollm2:360m
Tokens/sec109.1117.9
First chunk190 msN/A
TTFT190 ms43 ms
Load time4.3 s0.4 s
Memory usage5.6 GB1.2 GB
Memory %18%4%

HW Fit Score Breakdown

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
26/30

smollm2:360m

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

Quality

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

smollm2:360m

Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
9/15
Math
4/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
View qwen3:8b details | View smollm2:360m 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