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llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Marginal

Jun 26, 2026 · Cortex-A78AE

qwen3.6-35b-a3b

LM-STUDIO GGUF

qwen35moe · 35B · Q4_K_S

Not Rec.

Apr 20, 2026 · Apple M2 Max

Global Score
46 vs 82
Hardware Fit
61 vs 80
Quality Score
40 vs 83

Hardware

llama3.1:8b qwen3.6-35b-a3b
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperMac Studio
CPUCortex-A78AEApple M2 Max
Cores612
RAM7 GB96 GB
GPUIntegrated / UnknownApple M2 Max
OSUbuntu 22.04.5 LTSmacOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

llama3.1:8b qwen3.6-35b-a3b
Tokens/sec7.855.2
First chunk1625 ms4 ms
TTFT1.6 s30.0 s
Load time21.8 sN/A
Memory usage5.2 GB30.3 GB
Memory %71%32%

HW Fit Score Breakdown

llama3.1:8b

Speed
26/50
TTFT
20/20
Memory
15/30

qwen3.6-35b-a3b

Speed
50/50
TTFT
0/20
Memory
30/30

Quality

llama3.1:8b

Reasoning
12/20
Coding
10/20
Instruction
4/20
Structured
1/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Weak Multilingual: Strong

qwen3.6-35b-a3b

Reasoning
18/20
Coding
10/20
Instruction
18/20
Structured
14/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View llama3.1:8b details | View qwen3.6-35b-a3b 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