Back to leaderboard

qwen3.5:35b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Good

Mar 7, 2026 · Intel Core™ i5-14600KF

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

LM-STUDIO MLX

qwen3_5 · 27B · MXFP4

Excellent

Aug 20, 2026 · Apple M4 Max

Global Score
77 vs 88
Hardware Fit
53 vs 70
Quality Score
87 vs 96

Hardware

qwen3.5:35b qwen3.8-27b-fable-…
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M4 Max
Cores2016
RAM32 GB128 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4 Max
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:35b qwen3.8-27b-fable-…
Tokens/sec16.030.4
First chunk719 ms27 ms
TTFT719 ms4.4 s
Load time17.8 sN/A
Memory usage25.0 GB19.9 GB
Memory %79%16%

HW Fit Score Breakdown

qwen3.5:35b

Speed
23/50
TTFT
20/20
Memory
10/30

qwen3.8-27b-fable-fusio…

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

Quality

qwen3.5:35b

Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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
View qwen3.5:35b details | View qwen3.8-27b-fable-… 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