Back to leaderboard

prism-ml/bonsai-27b

LM-STUDIO GGUF

qwen35 · 27B · Q1_0

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Good

Mar 2, 2026 · Apple M4

Global Score
81 vs 65
Hardware Fit
95 vs 99
Quality Score
75 vs 51

Hardware

prism-ml/bonsai-27b qwen3.5:0.8b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMacBook Air
CPUAMD Ryzen 9 8940HXApple M4
Cores3210
RAM15 GB32 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MApple M4
OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

prism-ml/bonsai-27b qwen3.5:0.8b
Tokens/sec33.648.2
First chunk20 msN/A
TTFT409 ms195 ms
Load timeN/A1.0 s
Memory usage5.3 GB2.5 GB
Memory %35%8%

HW Fit Score Breakdown

prism-ml/bonsai-27b

Speed
46/50
TTFT
20/20
Memory
29/30

qwen3.5:0.8b

Speed
40/50
TTFT
30/20
Memory
29/30

Quality

prism-ml/bonsai-27b

Reasoning
17/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.5:0.8b

Reasoning
9/20
Coding
6/20
Instruction
11/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate

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