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qwen3.8-27b-fable-fusion-f711-gain-mlx

LM-STUDIO MLX

qwen3_5 · 27B · MXFP4

Excellent

Aug 20, 2026 · Apple M4 Max

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
88 vs 65
Hardware Fit
70 vs 88
Quality Score
96 vs 55

Hardware

qwen3.8-27b-fable-… glm-4.6v-flash
MachineMacBook ProMac Studio
CPUApple M4 MaxApple M2 Max
Cores1612
RAM128 GB96 GB
GPUApple M4 MaxApple M2 Max
OSmacOS 26.5.2macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.8-27b-fable-… glm-4.6v-flash
Tokens/sec30.449.9
First chunk27 ms27 ms
TTFT4.4 s3.7 s
Load timeN/A2.7 s
Memory usage19.9 GB0.0 GB
Memory %16%0%

HW Fit Score Breakdown

qwen3.8-27b-fable-fusio…

Speed
34/50
TTFT
6/20
Memory
30/30

glm-4.6v-flash

Speed
50/50
TTFT
8/20
Memory
30/30

Quality

qwen3.8-27b-fable-fusio…

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

glm-4.6v-flash

Reasoning
0/20
Coding
16/20
Instruction
12/20
Structured
2/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Strong Instruction Following: Adequate Structured Output: Poor Math: Strong Multilingual: Strong
View qwen3.8-27b-fable-… details | View glm-4.6v-flash 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