Back to leaderboard

qwen3:1.7b

OLLAMA GGUF

qwen3 · 2.0B · Q4_K_M

Good

Oct 11, 2026 · AMD Ryzen 5 5500

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
79 vs 89
Hardware Fit
100 vs 95
Quality Score
70 vs 87

Hardware

qwen3:1.7b qwen/qwen3-8b
MachineMicrosoft WSLMac mini
CPUAMD Ryzen 5 5500Apple M4 Pro
Cores1214
RAM8 GB64 GB
GPUIntegrated / UnknownApple M4 Pro
OSUbuntu 26.04.1 LTSmacOS 15.7.4
Archx64arm64
Power Modeunknownbalanced

Performance

qwen3:1.7b qwen/qwen3-8b
Tokens/sec191.433.4
First chunk70 ms257 ms
TTFT1.1 s257 ms
Load time4.6 sN/A
Memory usage1.6 GB4.3 GB
Memory %21%7%

HW Fit Score Breakdown

qwen3:1.7b

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

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

qwen3:1.7b

Reasoning
16/20
Coding
7/20
Instruction
14/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3:1.7b details | View qwen/qwen3-8b 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