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prism-ml/bonsai-27b

LM-STUDIO GGUF

qwen35 · 27B · Q1_0

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

qwen3-vl:4b-instruct

OLLAMA GGUF

qwen3vl · 4.4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

Global Score
81 vs 83
Hardware Fit
95 vs 96
Quality Score
75 vs 78

Hardware

prism-ml/bonsai-27b qwen3-vl:4b-instruct
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMac Studio
CPUAMD Ryzen 9 8940HXApple M2 Max
Cores3212
RAM15 GB96 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MApple M2 Max
OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 26.1
Archx64arm64
Power Modebalancedbalanced

Performance

prism-ml/bonsai-27b qwen3-vl:4b-instruct
Tokens/sec33.691.2
First chunk20 ms150 ms
TTFT409 ms150 ms
Load timeN/A5.3 s
Memory usage5.3 GB42.5 GB
Memory %35%44%

HW Fit Score Breakdown

prism-ml/bonsai-27b

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

qwen3-vl:4b-instruct

Speed
50/50
TTFT
20/20
Memory
26/30

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-vl:4b-instruct

Reasoning
14/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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