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gemma4:latest

OLLAMA GGUF

gemma4 · 8.0B · Q4_K_M

Excellent

Jun 5, 2026 · AMD Ryzen 7 5800H

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
89 vs 89
Hardware Fit
83 vs 95
Quality Score
92 vs 87

Hardware

gemma4:latest qwen/qwen3-8b
MachineLENOVO 82JQMac mini
CPUAMD Ryzen 7 5800HApple M4 Pro
Cores1614
RAM16 GB64 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M4 Pro
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

gemma4:latest qwen/qwen3-8b
Tokens/sec46.333.4
First chunk824 ms257 ms
TTFT3.8 s257 ms
Load time21.0 sN/A
Memory usage8.9 GB4.3 GB
Memory %56%7%

HW Fit Score Breakdown

gemma4:latest

Speed
50/50
TTFT
11/20
Memory
22/30

qwen/qwen3-8b

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

Quality

gemma4:latest

Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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
View gemma4:latest details | View qwen/qwen3-8b 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