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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_0

Good

Feb 28, 2026 · Apple M4 Pro

Global Score
80 vs 72
Hardware Fit
83 vs 100
Quality Score
79 vs 60

Hardware

google/gemma-4-e4b mistral:latest
MachineGMKtec EVO-X3Mac Mini
CPUAMD RYZEN AI MAX+ 395Apple M4 Pro
Cores3214
RAM120 GB64 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M4 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 15.7.4
Archx64arm64
Power Modebalancedunknown

Performance

google/gemma-4-e4b mistral:latest
Tokens/sec46.554.3
First chunk14 msN/A
TTFT1.9 s124 ms
Load time7.6 s0.0 s
Memory usage0.0 GB9.9 GB
Memory %0%15%

HW Fit Score Breakdown

google/gemma-4-e4b

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

mistral:latest

Speed
40/50
TTFT
30/20
Memory
30/30

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

mistral:latest

Reasoning
8/20
Coding
15/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View google/gemma-4-e4b details | View mistral:latest 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