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deepseek-r1:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
66 vs 83
Hardware Fit
63 vs 68
Quality Score
67 vs 90

Hardware

deepseek-r1:7b qwen/qwen3.8-27b
MachineGigabyte Technology Co., Ltd. H170M-D3HMacBook Pro
CPUIntel Core™ i5-6500Apple M4 Max
Cores416
RAM16 GB128 GB
GPUGP104 [GeForce GTX 1070]Apple M4 Max
OSUbuntu 24.04.4 LTSmacOS 26.5.2
Archx64arm64
Power Modelow-powerbalanced

Performance

deepseek-r1:7b qwen/qwen3.8-27b
Tokens/sec35.627.6
First chunk224 ms10 ms
TTFT7.5 s4.6 s
Load time7.7 sN/A
Memory usage4.6 GB21.0 GB
Memory %29%16%

HW Fit Score Breakdown

deepseek-r1:7b

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

qwen/qwen3.8-27b

Speed
32/50
TTFT
6/20
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

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View deepseek-r1:7b details | View qwen/qwen3.8-27b 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