deepseek-r1:70b
OLLAMA GGUFllama · 70.6B · Q4_K_M
Jun 27, 2026 · Cortex-X925
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Aug 25, 2026 · Apple M1 Pro
Global Score
47 vs 72
Hardware Fit
51 vs 71
Quality Score
45 vs 72
Hardware
deepseek-r1:70b ministral-3:8b
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M1 Pro
Cores2010
RAM122 GB16 GB
GPUDevice 2e12Apple M1 Pro
OSUbuntu 24.04.4 LTSmacOS 26.6.2
Archarm64arm64
Power Modeperformancebalanced
Performance
deepseek-r1:70b ministral-3:8b
Tokens/sec4.719.8
First chunk557 ms269 ms
TTFT557 ms269 ms
Load time52.6 s10.7 s
Memory usage49.5 GB13.7 GB
Memory %41%86%
HW Fit Score Breakdown
deepseek-r1:70b
Speed
4/50
TTFT
20/20
Memory
27/30
ministral-3:8b
Speed
44/50
TTFT
20/20
Memory
7/30
Quality
deepseek-r1:70b
Reasoning
3/20
Coding
1/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
10/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong
ministral-3:8b
Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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