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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

Aug 18, 2026 · Intel Core™ i7-14700F

Global Score
81 vs 69
Hardware Fit
84 vs 51
Quality Score
79 vs 76

Hardware

google/gemma-4-e4b qwen2-57b:57B
MachineGMKtec EVO-X3HP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUAMD RYZEN AI MAX+ 395Intel Core™ i7-14700F
Cores3228
RAM120 GB64 GB
GPUAMD Radeon(TM) 8060S GraphicsNVIDIA GeForce RTX 5080
OSMicrosoft Windows 11 Pro 10.0.26300Microsoft Windows 11 Enterprise 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen2-57b:57B
Tokens/sec47.37.7
First chunk23 ms940 ms
TTFT1.9 s940 ms
Load timeN/A0.2 s
Memory usage13.2 GB33.3 GB
Memory %11%52%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
44/50
TTFT
10/20
Memory
30/30

qwen2-57b:57B

Speed
8/50
TTFT
19/20
Memory
24/30

Quality

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

qwen2-57b:57B

Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-e4b details | View qwen2-57b:57B 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