Back to leaderboard

smollm2-1.7b-instruct

LM-STUDIO GGUF

llama · 1.7B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 2, 2026 · Apple M4

Global Score
48 vs 80
Hardware Fit
63 vs 81
Quality Score
41 vs 80

Hardware

smollm2-1.7b-instr… qwen3.5:9b
MachineLENOVO 20BUS00700MacBook Air
CPUIntel Core™ i5-5300UApple M4
Cores410
RAM16 GB32 GB
GPUIntel(R) HD Graphics 5500Apple M4
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

smollm2-1.7b-instr… qwen3.5:9b
Tokens/sec6.611.8
First chunk3184 msN/A
TTFT3.2 s523 ms
Load timeN/A2.9 s
Memory usage1.0 GB9.1 GB
Memory %6%28%

HW Fit Score Breakdown

smollm2-1.7b-instruct

Speed
23/50
TTFT
15/20
Memory
25/30

qwen3.5:9b

Speed
21/50
TTFT
30/20
Memory
30/30

Quality

smollm2-1.7b-instruct

Reasoning
5/20
Coding
7/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

qwen3.5:9b

Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View smollm2-1.7b-instr… details | View qwen3.5:9b 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