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qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Excellent

Aug 18, 2026 · Apple M4 Max

unsloth/gemma-4-e2b-it@q8_0

LM-STUDIO GGUF

gemma4 · Q8_0

Good

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

Global Score
81 vs 75
Hardware Fit
68 vs 74
Quality Score
87 vs 76

Hardware

qwen/qwen3.8-27b unsloth/gemma-4-e2…
MachineMacBook ProDocker Container
CPUApple M4 MaxIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM128 GB15 GB
GPUApple M4 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.5.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen/qwen3.8-27b unsloth/gemma-4-e2…
Tokens/sec16.413.0
First chunk5 ms62 ms
TTFT742 ms1.5 s
Load timeN/A7.8 s
Memory usage38.5 GB0.0 GB
Memory %30%0%

HW Fit Score Breakdown

qwen/qwen3.8-27b

Speed
18/50
TTFT
20/20
Memory
30/30

unsloth/gemma-4-e2b-it@…

Speed
24/50
TTFT
20/20
Memory
30/30

Quality

qwen/qwen3.8-27b

Reasoning
17/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

unsloth/gemma-4-e2b-it@…

Reasoning
11/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen/qwen3.8-27b details | View unsloth/gemma-4-e2… details

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