phi4-mini:latest
OLLAMA GGUFphi3 · 3.8B · Q4_K_M
Nov 4, 2026 · Intel Core™ i7-9700
qwen/qwen3-coder-30b
LM-STUDIO GGUFqwen3moe · 30B · Q4_K_M
Nov 1, 2026 · AMD RYZEN AI MAX+ 395
Global Score
75 vs 85
Hardware Fit
84 vs 79
Quality Score
71 vs 88
Hardware
phi4-mini:latest qwen/qwen3-coder-30b
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
phi4-mini:latest qwen/qwen3-coder-30b
Tokens/sec10.842.3
First chunk643 ms10 ms
TTFT643 ms707 ms
Load time31.5 s167.7 s
Memory usage2.9 GB70.3 GB
Memory %19%59%
HW Fit Score Breakdown
phi4-mini:latest
Speed
34/50
TTFT
20/20
Memory
30/30
qwen/qwen3-coder-30b
Speed
40/50
TTFT
18/20
Memory
21/30
Quality
phi4-mini:latest
Reasoning
13/20
Coding
14/20
Instruction
15/20
Structured
14/15
Math
6/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
qwen/qwen3-coder-30b
Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest