llama-3.2-1b-instruct
LM-STUDIO GGUFllama · 1B · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 19, 2026 · Apple M4 Max
Global Score
50 vs 84
Hardware Fit
79 vs 69
Quality Score
37 vs 90
Hardware
llama-3.2-1b-instr… qwen/qwen3.8-27b
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M4 Max
Cores416
RAM16 GB128 GB
GPUIntel(R) HD Graphics 5500Apple M4 Max
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced
Performance
llama-3.2-1b-instr… qwen/qwen3.8-27b
Tokens/sec9.928.9
First chunk1668 ms33 ms
TTFT1.7 s4.4 s
Load timeN/A7.9 s
Memory usage0.8 GB0.0 GB
Memory %5%0%
HW Fit Score Breakdown
llama-3.2-1b-instruct
Speed
32/50
TTFT
20/20
Memory
27/30
qwen/qwen3.8-27b
Speed
33/50
TTFT
6/20
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/qwen3.8-27b
Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
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