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mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

gemma3:1b

OLLAMA GGUF

gemma3 · 999.89M · Q4_K_M

Marginal

Jun 25, 2026 · Cortex-A78AE

Global Score
75 vs 57
Hardware Fit
64 vs 100
Quality Score
80 vs 39

Hardware

mistral-small:24b gemma3:1b
MachineNVIDIA NVIDIA_DGX_SparkNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUCortex-X925Cortex-A78AE
Cores206
RAM122 GB7 GB
GPUDevice 2e12Integrated / Unknown
OSUbuntu 24.04.4 LTSUbuntu 22.04.5 LTS
Archarm64arm64
Power Modeperformancebalanced

Performance

mistral-small:24b gemma3:1b
Tokens/sec14.333.9
First chunk327 ms1939 ms
TTFT327 ms1.9 s
Load time12.0 s1.8 s
Memory usage18.5 GB0.8 GB
Memory %15%11%

HW Fit Score Breakdown

mistral-small:24b

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

gemma3:1b

Speed
50/50
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

gemma3:1b

Reasoning
6/20
Coding
3/20
Instruction
14/20
Structured
8/15
Math
1/15
Multilingual
7/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate

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