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mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 6, 2026 · AMD RYZEN AI MAX+ 395 w/ Radeon 8060S

Global Score
75 vs 82
Hardware Fit
64 vs 81
Quality Score
80 vs 82

Hardware

mistral-small:24b qwen3.5:9b
MachineNVIDIA NVIDIA_DGX_SparkAZW GTR Pro
CPUCortex-X925AMD RYZEN AI MAX+ 395 w/ Radeon 8060S
Cores2032
RAM122 GB125 GB
GPUDevice 2e12Integrated / Apple Silicon
OSUbuntu 24.04.4 LTSUbuntu 24.04.4 LTS
Archarm64x64
Power Modeperformanceperformance

Performance

mistral-small:24b qwen3.5:9b
Tokens/sec14.330.8
First chunk327 ms195 ms
TTFT327 ms195 ms
Load time12.0 s6.8 s
Memory usage18.5 GB18.8 GB
Memory %15%15%

HW Fit Score Breakdown

mistral-small:24b

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

qwen3.5:9b

Speed
31/50
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

qwen3.5:9b

Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View mistral-small:24b details | View qwen3.5:9b 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