Back to leaderboard

qwen3.6-35b-a3b-mtp

LM-STUDIO GGUF

qwen35moe · 35B · IQ3_XXS

Good

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

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
77 vs 77
Hardware Fit
55 vs 100
Quality Score
86 vs 67

Hardware

qwen3.6-35b-a3b-mtp mlx-community/meta…
MachineDocker ContainerMac mini
CPUIntel Gen Intel® Core™ i9-11900HApple M4 Pro
Cores1614
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4 Pro
OSUbuntu 26.04 LTSmacOS 15.7.4
Archx64arm64
Power Modeperformancebalanced

Performance

qwen3.6-35b-a3b-mtp mlx-community/meta…
Tokens/sec9.254.3
First chunk38 ms277 ms
TTFT4.7 s277 ms
Load time46.7 sN/A
Memory usage0.0 GB4.2 GB
Memory %0%7%

HW Fit Score Breakdown

qwen3.6-35b-a3b-mtp

Speed
16/50
TTFT
9/20
Memory
30/30

mlx-community/meta-llam…

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

Quality

qwen3.6-35b-a3b-mtp

Reasoning
16/20
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

mlx-community/meta-llam…

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen3.6-35b-a3b-mtp details | View mlx-community/meta… 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