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qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

gemma4:31b

OLLAMA GGUF

gemma4 · 31.3B · Q4_K_M

Not Rec.

Apr 13, 2026 · Apple M4 Max

Global Score
89 vs 76
Hardware Fit
95 vs 46
Quality Score
87 vs 89

Hardware

qwen/qwen3-8b gemma4:31b
MachineMac miniMacBook Pro
CPUApple M4 ProApple M4 Max
Cores1416
RAM64 GB64 GB
GPUApple M4 ProApple M4 Max
OSmacOS 15.7.4macOS 26.3.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen/qwen3-8b gemma4:31b
Tokens/sec33.422.4
First chunk257 ms565 ms
TTFT257 ms30.0 s
Load timeN/A6.9 s
Memory usage4.3 GB43.9 GB
Memory %7%69%

HW Fit Score Breakdown

qwen/qwen3-8b

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

gemma4:31b

Speed
30/50
TTFT
0/20
Memory
16/30

Quality

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

gemma4:31b

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen/qwen3-8b details | View gemma4:31b 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