Back to leaderboard

qwen3-coder:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

Global Score
90 vs 53
Hardware Fit
96 vs 89
Quality Score
87 vs 38

Hardware

qwen3-coder:30b qwen3.5-0.8b-mlx
MachineASUSMac mini
CPUIntel Core™ Ultra 9 285KApple M4 Pro
Cores2414
RAM47 GB64 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsApple M4 Pro
OSMicrosoft Windows 11 Pro 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-coder:30b qwen3.5-0.8b-mlx
Tokens/sec207.952.9
First chunk513 ms4013 ms
TTFT513 ms4.0 s
Load time4.9 sN/A
Memory usage20.5 GB0.6 GB
Memory %43%1%

HW Fit Score Breakdown

qwen3-coder:30b

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

qwen3.5-0.8b-mlx

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

Quality

qwen3-coder:30b

Reasoning
16/20
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
View qwen3-coder:30b details | View qwen3.5-0.8b-mlx 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