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mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

qwen/qwen3-vl-30b

LM-STUDIO GGUF

qwen3vlmoe · 30B · Q4_K_M

Excellent

Apr 24, 2026 · AMD Ryzen 5 5500

Global Score
75 vs 92
Hardware Fit
64 vs 95
Quality Score
80 vs 90

Hardware

mistral-small:24b qwen/qwen3-vl-30b
MachineNVIDIA NVIDIA_DGX_SparkASUS
CPUCortex-X925AMD Ryzen 5 5500
Cores2012
RAM122 GB31 GB
GPUDevice 2e12Navi 44 [Radeon RX 9060 XT]
OSUbuntu 24.04.4 LTSNobara Linux 43
Archarm64x64
Power Modeperformanceperformance

Performance

mistral-small:24b qwen/qwen3-vl-30b
Tokens/sec14.324.8
First chunk327 ms11 ms
TTFT327 ms735 ms
Load time12.0 s11.7 s
Memory usage18.5 GB0.6 GB
Memory %15%2%

HW Fit Score Breakdown

mistral-small:24b

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

qwen/qwen3-vl-30b

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

Quality

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

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 mistral-small:24b details | View qwen/qwen3-vl-30b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest