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unsloth/qwen3.5-9b@q4_k_m

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_M

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

Global Score
73 vs 65
Hardware Fit
52 vs 99
Quality Score
82 vs 51

Hardware

unsloth/qwen3.5-9b… smollm2-1.7b-instr…
MachineDocker ContainerMacBook Air
CPUIntel Gen Intel® Core™ i9-11900HApple M4
Cores1610
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4
OSUbuntu 26.04 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced

Performance

unsloth/qwen3.5-9b… smollm2-1.7b-instr…
Tokens/sec6.528.5
First chunk13 ms393 ms
TTFT4.1 s393 ms
Load time10.8 sN/A
Memory usage2.2 GB3.2 GB
Memory %14%10%

HW Fit Score Breakdown

unsloth/qwen3.5-9b@q4_k_m

Speed
11/50
TTFT
11/20
Memory
30/30

smollm2-1.7b-instruct

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

Quality

unsloth/qwen3.5-9b@q4_k_m

Reasoning
15/20
Coding
17/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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 unsloth/qwen3.5-9b… 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