Back to leaderboard

qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Marginal

Aug 17, 2026 · Apple M5 Max

llama3.2:3b

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
59 vs 67
Hardware Fit
63 vs 77
Quality Score
58 vs 63

Hardware

qwen3.8-27b-mlx llama3.2:3b
MachineMacBook ProLENOVO 20U30029MB
CPUApple M5 MaxIntel Core™ i5-10210U
Cores188
RAM64 GB15 GB
GPUApple M5 MaxCometLake-U GT2 [UHD Graphics]
OSmacOS 27.0Pop 24.04 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen3.8-27b-mlx llama3.2:3b
Tokens/sec18.310.0
First chunk4 ms1166 ms
TTFT530 ms1.2 s
Load timeN/A6.8 s
Memory usage38.5 GB3.8 GB
Memory %60%25%

HW Fit Score Breakdown

qwen3.8-27b-mlx

Speed
23/50
TTFT
20/20
Memory
20/30

llama3.2:3b

Speed
27/50
TTFT
20/20
Memory
30/30

Quality

qwen3.8-27b-mlx

Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

llama3.2:3b

Reasoning
11/20
Coding
15/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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