Back to leaderboard

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

qwen3.6:35b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
81 vs 70
Hardware Fit
100 vs 66
Quality Score
73 vs 71

Hardware

llama-3.1-8b-instr… qwen3.6:35b
MachineASUSMacBook Pro
CPUAMD Ryzen 5 5500Apple M4 Pro
Cores1214
RAM31 GB48 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M4 Pro
OSNobara Linux 43macOS 26.4.1
Archx64arm64
Power Modeperformancebalanced

Performance

llama-3.1-8b-instr… qwen3.6:35b
Tokens/sec35.630.6
First chunk52 ms304 ms
TTFT256 ms30.0 s
Load timeN/A10.0 s
Memory usage8.6 GB28.1 GB
Memory %28%59%

HW Fit Score Breakdown

llama-3.1-8b-instruct

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

qwen3.6:35b

Speed
45/50
TTFT
0/20
Memory
21/30

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

qwen3.6:35b

Reasoning
18/20
Coding
12/20
Instruction
12/20
Structured
6/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Weak 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