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qwen3:4b

OLLAMA GGUF

qwen3 · 4.0B · Q4_K_M

Not Rec.

Nov 4, 2026 · Intel Core™ i7-9700

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

Global Score
29 vs 80
Hardware Fit
84 vs 83
Quality Score
6 vs 79

Hardware

qwen3:4b google/gemma-4-e4b
MachineVMware, Inc. VMware Virtual PlatformGMKtec EVO-X3
CPUIntel Core™ i7-9700AMD RYZEN AI MAX+ 395
Cores432
RAM16 GB120 GB
GPUIntegrated / UnknownAMD Radeon(TM) 8060S Graphics
OSUbuntu 24.04.5 LTSMicrosoft Windows 11 Pro 10.0.26300
Archx64x64
Power Modeunknownbalanced

Performance

qwen3:4b google/gemma-4-e4b
Tokens/sec10.446.5
First chunk857 ms14 ms
TTFT857 ms1.9 s
Load time41.0 s7.6 s
Memory usage3.0 GB0.0 GB
Memory %19%0%

HW Fit Score Breakdown

qwen3:4b

Speed
34/50
TTFT
20/20
Memory
30/30

google/gemma-4-e4b

Speed
43/50
TTFT
10/20
Memory
30/30

Quality

qwen3:4b

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

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3:4b details | View google/gemma-4-e4b 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