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deepseek-r1:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score
66 vs 71
Hardware Fit
63 vs 86
Quality Score
67 vs 65

Hardware

deepseek-r1:7b mistral-nemo:12b
MachineGigabyte Technology Co., Ltd. H170M-D3HMacBook Air
CPUIntel Core™ i5-6500Apple M4
Cores410
RAM16 GB32 GB
GPUGP104 [GeForce GTX 1070]Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced

Performance

deepseek-r1:7b mistral-nemo:12b
Tokens/sec35.614.6
First chunk224 msN/A
TTFT7.5 s371 ms
Load time7.7 s1.0 s
Memory usage4.6 GB13.3 GB
Memory %29%42%

HW Fit Score Breakdown

deepseek-r1:7b

Speed
50/50
TTFT
7/20
Memory
6/30

mistral-nemo:12b

Speed
26/50
TTFT
30/20
Memory
30/30

Quality

deepseek-r1:7b

Reasoning
16/20
Coding
10/20
Instruction
9/20
Structured
10/15
Math
14/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong

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
View deepseek-r1:7b details | View mistral-nemo:12b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest