Back to leaderboard

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
18 vs 85
Hardware Fit
53 vs 64
Quality Score
3 vs 94

Hardware

qwen3.5:0.8b gemma-4-31b-it-mlx
MachineLENOVO 20L7CTO1WWMacBook Pro
CPUIntel Core™ i5-8350UApple M4 Max
Cores816
RAM23 GB128 GB
GPUKaby Lake-R GT2 [UHD Graphics 620]Apple M4 Max
OSFedora Linux 43macOS 26.5.2
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3.5:0.8b gemma-4-31b-it-mlx
Tokens/sec9.413.6
First chunk799 ms16 ms
TTFT30.0 s558 ms
Load time3.3 s12.3 s
Memory usage1.9 GB0.0 GB
Memory %8%0%

HW Fit Score Breakdown

qwen3.5:0.8b

Speed
23/50
TTFT
0/20
Memory
30/30

gemma-4-31b-it-mlx

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

Quality

qwen3.5:0.8b

Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
0/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

gemma-4-31b-it-mlx

Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.5:0.8b details | View gemma-4-31b-it-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