Back to leaderboard

smollm2:360m

OLLAMA GGUF

llama · 361.82M · F16

Marginal

Mar 2, 2026 · Apple M4

qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
52 vs 85
Hardware Fit
100 vs 77
Quality Score
32 vs 88

Hardware

smollm2:360m qwen3.8:27b-bf16
MachineMacBook AirDell Inc. PowerEdge XE8545
CPUApple M4AMD EPYC 7713 64-Core Processor
Cores10128
RAM32 GB1007 GB
GPUApple M4GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 26.3Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown

Performance

smollm2:360m qwen3.8:27b-bf16
Tokens/sec117.927.2
First chunkN/A237 ms
TTFT43 ms237 ms
Load time0.4 s43.8 s
Memory usage1.2 GB68.8 GB
Memory %4%7%

HW Fit Score Breakdown

smollm2:360m

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

qwen3.8:27b-bf16

Speed
27/50
TTFT
20/20
Memory
30/30

Quality

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

qwen3.8:27b-bf16

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View smollm2:360m details | View qwen3.8:27b-bf16 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