Back to leaderboard

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

qwen3.8-27b-claude-opus-reasoning-distilled

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Excellent

Aug 20, 2026 · Apple M4 Max

Global Score
81 vs 80
Hardware Fit
84 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/sec47.324.0
First chunk23 ms20 ms
TTFT1.9 s4.5 s
Load timeN/AN/A
Memory usage13.2 GB15.7 GB
Memory %11%12%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
44/50
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

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest