Back to leaderboard

phi4-mini

OLLAMA GGUF
Not Rec.

Aug 28, 2026 · Intel Core™ i5-10210U

qwen/qwen3-vl-30b

LM-STUDIO GGUF

qwen3vlmoe · 30B · Q4_K_M

Excellent

Apr 24, 2026 · AMD Ryzen 5 5500

Global Score
51 vs 92
Hardware Fit
46 vs 95
Quality Score
53 vs 90

Hardware

phi4-mini qwen/qwen3-vl-30b
MachineLENOVO 20U30029MBASUS
CPUIntel Core™ i5-10210UAMD Ryzen 5 5500
Cores812
RAM15 GB31 GB
GPUCometLake-U GT2 [UHD Graphics]Navi 44 [Radeon RX 9060 XT]
OSPop 24.04 LTSNobara Linux 43
Archx64x64
Power Modeperformanceperformance

Performance

phi4-mini qwen/qwen3-vl-30b
Tokens/sec2.624.8
First chunk5406 ms11 ms
TTFT5.4 s735 ms
Load time27.4 s11.7 s
Memory usage4.6 GB0.6 GB
Memory %30%2%

HW Fit Score Breakdown

phi4-mini

Speed
6/50
TTFT
10/20
Memory
30/30

qwen/qwen3-vl-30b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

phi4-mini

Reasoning
11/20
Coding
9/20
Instruction
6/20
Structured
12/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Strong Math: Weak Multilingual: Strong

qwen/qwen3-vl-30b

Reasoning
19/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View phi4-mini details | View qwen/qwen3-vl-30b 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