Back to leaderboard

glm-4.7-flash:latest

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 22, 2026 · AMD RYZEN AI MAX+ 395

phi4-mini:latest

OLLAMA GGUF

phi3 · 3.8B · Q4_K_M

Good

Jun 26, 2026 · Cortex-A78AE

Global Score
82 vs 74
Hardware Fit
94 vs 98
Quality Score
77 vs 63

Hardware

glm-4.7-flash:latest phi4-mini:latest
MachineAZW GTR ProNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUAMD RYZEN AI MAX+ 395Cortex-A78AE
Cores326
RAM125 GB7 GB
GPURadeon 8060SIntegrated / Unknown
OSUbuntu 24.04.4 LTSUbuntu 22.04.5 LTS
Archx64arm64
Power Modeperformancebalanced

Performance

glm-4.7-flash:latest phi4-mini:latest
Tokens/sec47.618.4
First chunk200 ms1078 ms
TTFT200 ms1.1 s
Load time7.3 s6.4 s
Memory usage37.7 GB2.9 GB
Memory %30%39%

HW Fit Score Breakdown

glm-4.7-flash:latest

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

phi4-mini:latest

Speed
50/50
TTFT
20/20
Memory
28/30

Quality

glm-4.7-flash:latest

Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

phi4-mini:latest

Reasoning
13/20
Coding
11/20
Instruction
14/20
Structured
11/15
Math
5/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Weak 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