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deepseek-r1:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
66 vs 65
Hardware Fit
63 vs 88
Quality Score
67 vs 55

Hardware

deepseek-r1:7b glm-4.6v-flash
MachineGigabyte Technology Co., Ltd. H170M-D3HMac Studio
CPUIntel Core™ i5-6500Apple M2 Max
Cores412
RAM16 GB96 GB
GPUGP104 [GeForce GTX 1070]Apple M2 Max
OSUbuntu 24.04.4 LTSmacOS 26.1
Archx64arm64
Power Modelow-powerbalanced

Performance

deepseek-r1:7b glm-4.6v-flash
Tokens/sec35.649.9
First chunk224 ms27 ms
TTFT7.5 s3.7 s
Load time7.7 s2.7 s
Memory usage4.6 GB0.0 GB
Memory %29%0%

HW Fit Score Breakdown

deepseek-r1:7b

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

glm-4.6v-flash

Speed
50/50
TTFT
8/20
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

glm-4.6v-flash

Reasoning
0/20
Coding
16/20
Instruction
12/20
Structured
2/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Strong Instruction Following: Adequate Structured Output: Poor Math: Strong Multilingual: Strong

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