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qwen3-vl-4b-instruct

LM-STUDIO GGUF

qwen3vl · 4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

Global Score
87 vs 75
Hardware Fit
100 vs 64
Quality Score
81 vs 80

Hardware

qwen3-vl-4b-instruct mistral-small:24b
MachineMac StudioNVIDIA NVIDIA_DGX_Spark
CPUApple M2 MaxCortex-X925
Cores1220
RAM96 GB122 GB
GPUApple M2 MaxDevice 2e12
OSmacOS 26.1Ubuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance

Performance

qwen3-vl-4b-instruct mistral-small:24b
Tokens/sec71.214.3
First chunk4 ms327 ms
TTFT156 ms327 ms
Load timeN/A12.0 s
Memory usage20.5 GB18.5 GB
Memory %21%15%

HW Fit Score Breakdown

qwen3-vl-4b-instruct

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

mistral-small:24b

Speed
14/50
TTFT
20/20
Memory
30/30

Quality

qwen3-vl-4b-instruct

Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

mistral-small:24b

Reasoning
16/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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