llama-3.2-1b-instruct
LM-STUDIO GGUFllama · 1B · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
qwen/qwen3-8b
LM-STUDIO MLXqwen3 · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
Global Score
50 vs 89
Hardware Fit
79 vs 95
Quality Score
37 vs 87
Hardware
llama-3.2-1b-instr… qwen/qwen3-8b
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4 Pro
Cores414
RAM16 GB64 GB
GPUIntel(R) HD Graphics 5500Apple M4 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced
Performance
llama-3.2-1b-instr… qwen/qwen3-8b
Tokens/sec9.933.4
First chunk1668 ms257 ms
TTFT1.7 s257 ms
Load timeN/AN/A
Memory usage0.8 GB4.3 GB
Memory %5%7%
HW Fit Score Breakdown
llama-3.2-1b-instruct
Speed
32/50
TTFT
20/20
Memory
27/30
qwen/qwen3-8b
Speed
45/50
TTFT
20/20
Memory
30/30
Quality
llama-3.2-1b-instruct
Reasoning
4/20
Coding
3/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
8/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Strong
qwen/qwen3-8b
Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest