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mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

Global Score
75 vs 80
Hardware Fit
64 vs 98
Quality Score
80 vs 72

Hardware

mistral-small:24b qwen3-vl:30b
MachineNVIDIA NVIDIA_DGX_SparkASUS
CPUCortex-X925Intel Core™ Ultra 9 285K
Cores2024
RAM122 GB47 GB
GPUDevice 2e12NVIDIA GeForce RTX 5090, Intel(R) Graphics
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modeperformancebalanced

Performance

mistral-small:24b qwen3-vl:30b
Tokens/sec14.3208.9
First chunk327 ms102 ms
TTFT327 ms684 ms
Load time12.0 s0.1 s
Memory usage18.5 GB22.0 GB
Memory %15%47%

HW Fit Score Breakdown

mistral-small:24b

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

qwen3-vl:30b

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

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

qwen3-vl:30b

Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View mistral-small:24b details | View 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