Back to leaderboard

qwen3-coder:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Mar 4, 2026 · Intel Gen Intel® Core™ i7-12700K

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

Global Score
80 vs 53
Hardware Fit
60 vs 89
Quality Score
88 vs 38

Hardware

qwen3-coder:30b qwen3.5-0.8b-mlx
MachineASUSMac mini
CPUIntel Gen Intel® Core™ i7-12700KApple M4 Pro
Cores2014
RAM96 GB64 GB
GPUParsec Virtual Display Adapter, NVIDIA GeForce RTX 2060Apple M4 Pro
OSMicrosoft Windows 11 Enterprise 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-coder:30b qwen3.5-0.8b-mlx
Tokens/sec14.752.9
First chunk796 ms4013 ms
TTFT796 ms4.0 s
Load time0.2 sN/A
Memory usage17.9 GB0.6 GB
Memory %19%1%

HW Fit Score Breakdown

qwen3-coder:30b

Speed
14/50
TTFT
19/20
Memory
27/30

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
9/20
Memory
30/30

Quality

qwen3-coder:30b

Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.5-0.8b-mlx

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

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