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deepseek-r1:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

Global Score
66 vs 36
Hardware Fit
63 vs 100
Quality Score
67 vs 8

Hardware

deepseek-r1:7b qwen36-distill-apex
MachineGigabyte Technology Co., Ltd. H170M-D3HMacBook Pro
CPUIntel Core™ i5-6500Apple M5 Max
Cores418
RAM16 GB64 GB
GPUGP104 [GeForce GTX 1070]Apple M5 Max
OSUbuntu 24.04.4 LTSmacOS 27.0
Archx64arm64
Power Modelow-powerbalanced

Performance

deepseek-r1:7b qwen36-distill-apex
Tokens/sec35.655.2
First chunk224 ms210 ms
TTFT7.5 s210 ms
Load time7.7 s4.8 s
Memory usage4.6 GB0.9 GB
Memory %29%2%

HW Fit Score Breakdown

deepseek-r1:7b

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

qwen36-distill-apex

Speed
50/50
TTFT
20/20
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

qwen36-distill-apex

Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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