Back to leaderboard

qwen3.5:35b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
87 vs 83
Hardware Fit
86 vs 68
Quality Score
88 vs 90

Hardware

qwen3.5:35b qwen/qwen3.8-27b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M4 Max
Cores1616
RAM32 GB128 GB
GPUNVIDIA GeForce RTX 5060 TiApple M4 Max
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:35b qwen/qwen3.8-27b
Tokens/sec45.727.6
First chunk393 ms10 ms
TTFT393 ms4.6 s
Load time22.9 sN/A
Memory usage21.6 GB21.0 GB
Memory %68%16%

HW Fit Score Breakdown

qwen3.5:35b

Speed
50/50
TTFT
20/20
Memory
16/30

qwen/qwen3.8-27b

Speed
32/50
TTFT
6/20
Memory
30/30

Quality

qwen3.5:35b

Reasoning
17/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.5:35b details | View qwen/qwen3.8-27b 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