mistral-nemo:12b
OLLAMA GGUFllama · 12.2B · Q4_0
Mar 1, 2026 · Apple M4
glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
Global Score
71 vs 76
Hardware Fit
86 vs 73
Quality Score
65 vs 77
Hardware
mistral-nemo:12b glm-4.7-flash:bf16
MachineMacBook AirNVIDIA NVIDIA_DGX_Spark
CPUApple M4Cortex-X925
Cores1020
RAM32 GB122 GB
GPUApple M4Device 2e12
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance
Performance
mistral-nemo:12b glm-4.7-flash:bf16
Tokens/sec14.625.8
First chunkN/A605 ms
TTFT371 ms605 ms
Load time1.0 s44.2 s
Memory usage13.3 GB57.0 GB
Memory %42%47%
HW Fit Score Breakdown
mistral-nemo:12b
Speed
26/50
TTFT
30/20
Memory
30/30
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
Quality
mistral-nemo:12b
Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
glm-4.7-flash:bf16
Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest