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deepseek-r1:70b

OLLAMA GGUF

llama · 70.6B · Q4_K_M

Not Rec.

Jun 27, 2026 · Cortex-X925

rnj-1:8b

OLLAMA GGUF

gemma3 · 8.3B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
47 vs 80
Hardware Fit
51 vs 93
Quality Score
45 vs 74

Hardware

deepseek-r1:70b rnj-1:8b
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 rnj-1:8b
Tokens/sec4.722.3
First chunk557 ms404 ms
TTFT557 ms404 ms
Load time52.6 s3.7 s
Memory usage49.5 GB8.3 GB
Memory %41%52%

HW Fit Score Breakdown

deepseek-r1:70b

Speed
4/50
TTFT
20/20
Memory
27/30

rnj-1:8b

Speed
49/50
TTFT
20/20
Memory
24/30

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

rnj-1:8b

Reasoning
12/20
Coding
19/20
Instruction
15/20
Structured
5/15
Math
14/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Weak Math: Strong Multilingual: Strong
View deepseek-r1:70b details | View rnj-1:8b details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest