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qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Good

Mar 2, 2026 · Apple M4

smollm2-360m-instruct

LM-STUDIO GGUF

llama · 360M · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

Global Score
65 vs 48
Hardware Fit
99 vs 98
Quality Score
51 vs 26

Hardware

qwen3.5:0.8b smollm2-360m-instr…
MachineMacBook AirLENOVO 20BUS00700
CPUApple M4Intel Core™ i5-5300U
Cores104
RAM32 GB16 GB
GPUApple M4Intel(R) HD Graphics 5500
OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5:0.8b smollm2-360m-instr…
Tokens/sec48.220.0
First chunkN/A1116 ms
TTFT195 ms1.1 s
Load time1.0 sN/A
Memory usage2.5 GB0.3 GB
Memory %8%2%

HW Fit Score Breakdown

qwen3.5:0.8b

Speed
40/50
TTFT
30/20
Memory
29/30

smollm2-360m-instruct

Speed
50/50
TTFT
20/20
Memory
28/30

Quality

qwen3.5:0.8b

Reasoning
9/20
Coding
6/20
Instruction
11/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate

smollm2-360m-instruct

Reasoning
3/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
3/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Poor Multilingual: Weak
View qwen3.5:0.8b details | View smollm2-360m-instr… 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