Back to leaderboard

qwen3:1.7b

OLLAMA GGUF

qwen3 · 2.0B · Q4_K_M

Good

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

qwen3-vl:4b-instruct

OLLAMA GGUF

qwen3vl · 4.4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

Global Score
72 vs 83
Hardware Fit
92 vs 96
Quality Score
63 vs 78

Hardware

qwen3:1.7b qwen3-vl:4b-instruct
MachineAZW GTR ProMac Studio
CPUAMD RYZEN AI MAX+ 395Apple M2 Max
Cores3212
RAM125 GB96 GB
GPUAMD Radeon 8060SApple M2 Max
OSUbuntu 24.04.4 LTSmacOS 26.1
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3:1.7b qwen3-vl:4b-instruct
Tokens/sec120.790.6
First chunk93 ms159 ms
TTFT1.5 s159 ms
Load time2.5 s5.8 s
Memory usage5.8 GB42.5 GB
Memory %5%44%

HW Fit Score Breakdown

qwen3:1.7b

Speed
50/50
TTFT
12/20
Memory
30/30

qwen3-vl:4b-instruct

Speed
50/50
TTFT
20/20
Memory
26/30

Quality

qwen3:1.7b

Reasoning
13/20
Coding
6/20
Instruction
13/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen3-vl:4b-instruct

Reasoning
14/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3:1.7b details | View qwen3-vl:4b-instruct 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