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mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

May 27, 2026 · AMD Ryzen 5 2600X Six-Core Processor

qwen3.5-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
73 vs 75
Hardware Fit
100 vs 54
Quality Score
62 vs 84

Hardware

mistral:latest qwen3.5-27b
MachineMicro-Star International Co., Ltd. MS-7B79MacBook Air
CPUAMD Ryzen 5 2600X Six-Core ProcessorApple M4
Cores1210
RAM16 GB32 GB
GPUNVIDIA GeForce GTX 1080Apple M4
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

mistral:latest qwen3.5-27b
Tokens/sec31.76.6
First chunk102 ms4364 ms
TTFT102 ms4.4 s
Load time14.3 sN/A
Memory usage4.8 GB15.0 GB
Memory %30%47%

HW Fit Score Breakdown

mistral:latest

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

qwen3.5-27b

Speed
13/50
TTFT
11/20
Memory
30/30

Quality

mistral:latest

Reasoning
8/20
Coding
13/20
Instruction
16/20
Structured
12/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

qwen3.5-27b

Reasoning
17/20
Coding
18/20
Instruction
11/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong 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