qwen3.5:35b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Good

Mar 7, 2026 · Intel Core™ i5-14600KF

smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

Global Score

77 vs 52

Hardware Fit

53 vs 100

Quality Score

87 vs 32

Hardware

qwen3.5:35b smollm2-360m-instr…

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

qwen3.5:35b smollm2-360m-instr…

Tokens/sec16.0121.1

First chunk719 ms106 ms

TTFT719 ms106 ms

Load time17.8 sN/A

Memory usage25.0 GB0.7 GB

Memory %79%2%

HW Fit Score Breakdown

qwen3.5:35b

Speed

23/50

TTFT

20/20

Memory

10/30

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

qwen3.5:35b

Reasoning

17/20

Coding

18/20

Instruction

15/20

Structured

15/15

Math

12/15

Multilingual

10/10

Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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

View qwen3.5:35b 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