Back to leaderboard

qwen3.5-27b-claude-4.6-opus-distilled-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M1 Max

Global Score
34 vs 53
Hardware Fit
21 vs 72
Quality Score
39 vs 45

Hardware

qwen3.5-27b-claude… qwen3.5:9b
MachineMac miniMacBook Pro
CPUApple M4Apple M1 Max
Cores1010
RAM24 GB32 GB
GPUApple M4Apple M1 Max
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-27b-claude… qwen3.5:9b
Tokens/sec6.118.6
First chunk7 ms403 ms
TTFT22.9 s10.2 s
Load timeN/A4.3 s
Memory usage19.8 GB9.1 GB
Memory %82%28%

HW Fit Score Breakdown

qwen3.5-27b-claude-4.6-…

Speed
12/50
TTFT
0/20
Memory
9/30

qwen3.5:9b

Speed
38/50
TTFT
4/20
Memory
30/30

Quality

qwen3.5-27b-claude-4.6-…

Reasoning
1/20
Coding
14/20
Instruction
5/20
Structured
8/15
Math
4/15
Multilingual
7/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Adequate Math: Poor Multilingual: Adequate

qwen3.5:9b

Reasoning
12/20
Coding
3/20
Instruction
5/20
Structured
6/15
Math
11/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Adequate Multilingual: Strong
View qwen3.5-27b-claude… details | View qwen3.5:9b 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