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llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
75 vs 65
Hardware Fit
93 vs 88
Quality Score
67 vs 55

Hardware

llama3.1:8b glm-4.6v-flash
MachineMacBook AirMac Studio
CPUApple M4Apple M2 Max
Cores1012
RAM32 GB96 GB
GPUApple M4Apple M2 Max
OSmacOS 26.3macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

llama3.1:8b glm-4.6v-flash
Tokens/sec20.349.9
First chunkN/A27 ms
TTFT315 ms3.7 s
Load time1.1 s2.7 s
Memory usage10.4 GB0.0 GB
Memory %33%0%

HW Fit Score Breakdown

llama3.1:8b

Speed
33/50
TTFT
30/20
Memory
30/30

glm-4.6v-flash

Speed
50/50
TTFT
8/20
Memory
30/30

Quality

llama3.1:8b

Reasoning
12/20
Coding
15/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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
View llama3.1:8b details | View glm-4.6v-flash details

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