google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
Nov 1, 2026 · AMD RYZEN AI MAX+ 395
qwen3.8-27b-claude-opus-reasoning-distilled
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Aug 20, 2026 · Apple M4 Max
Global Score
80 vs 80
Hardware Fit
83 vs 63
Quality Score
79 vs 87
Hardware
google/gemma-4-e4b qwen3.8-27b-claude…
MachineGMKtec EVO-X3MacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M4 Max
Cores3216
RAM120 GB128 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M4 Max
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b qwen3.8-27b-claude…
Tokens/sec46.524.0
First chunk14 ms20 ms
TTFT1.9 s4.5 s
Load time7.6 sN/A
Memory usage0.0 GB15.7 GB
Memory %0%12%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
43/50
TTFT
10/20
Memory
30/30
qwen3.8-27b-claude-opus…
Speed
27/50
TTFT
6/20
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
qwen3.8-27b-claude-opus…
Reasoning
19/20
Coding
18/20
Instruction
11/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
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npm install -g metrillm@latest$
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