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llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
81 vs 65
Hardware Fit
100 vs 88
Quality Score
73 vs 55

Hardware

llama-3.1-8b-instr… glm-4.6v-flash
MachineASUSMac Studio
CPUAMD Ryzen 5 5500Apple M2 Max
Cores1212
RAM31 GB96 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M2 Max
OSNobara Linux 43macOS 26.1
Archx64arm64
Power Modeperformancebalanced

Performance

llama-3.1-8b-instr… glm-4.6v-flash
Tokens/sec35.649.9
First chunk52 ms27 ms
TTFT256 ms3.7 s
Load timeN/A2.7 s
Memory usage8.6 GB0.0 GB
Memory %28%0%

HW Fit Score Breakdown

llama-3.1-8b-instruct

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

glm-4.6v-flash

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

Quality

llama-3.1-8b-instruct

Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
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

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