Back to leaderboard

qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Marginal

Aug 17, 2026 · Apple M5 Max

unsloth/gemma-4-26b-a4b-it@q4_k_m

LM-STUDIO GGUF

gemma4 · 26B · Q4_K_M

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
59 vs 83
Hardware Fit
63 vs 58
Quality Score
58 vs 93

Hardware

qwen3.8-27b-mlx unsloth/gemma-4-26…
MachineMacBook ProDocker Container
CPUApple M5 MaxIntel Gen Intel® Core™ i9-11900H
Cores1816
RAM64 GB15 GB
GPUApple M5 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 27.0Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen3.8-27b-mlx unsloth/gemma-4-26…
Tokens/sec18.39.4
First chunk4 ms42 ms
TTFT530 ms4.1 s
Load timeN/A44.3 s
Memory usage38.5 GB0.2 GB
Memory %60%1%

HW Fit Score Breakdown

qwen3.8-27b-mlx

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

unsloth/gemma-4-26b-a4b…

Speed
17/50
TTFT
11/20
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

unsloth/gemma-4-26b-a4b…

Reasoning
18/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong 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