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qwen3.5:35b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

Global Score
87 vs 65
Hardware Fit
86 vs 99
Quality Score
88 vs 51

Hardware

qwen3.5:35b smollm2-1.7b-instr…
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Air
CPUIntel Core™ i5-14400FApple M4
Cores1610
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 5060 TiApple M4
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:35b smollm2-1.7b-instr…
Tokens/sec45.728.5
First chunk393 ms393 ms
TTFT393 ms393 ms
Load time22.9 sN/A
Memory usage21.6 GB3.2 GB
Memory %68%10%

HW Fit Score Breakdown

qwen3.5:35b

Speed
50/50
TTFT
20/20
Memory
16/30

smollm2-1.7b-instruct

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

Quality

qwen3.5:35b

Reasoning
17/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

smollm2-1.7b-instruct

Reasoning
10/20
Coding
10/20
Instruction
13/20
Structured
11/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
View qwen3.5:35b details | View smollm2-1.7b-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