Back to leaderboard

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

qwen3.6-27b-mtp

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Excellent

Jul 4, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor

Global Score
71 vs 87
Hardware Fit
86 vs 82
Quality Score
65 vs 89

Hardware

mistral-nemo:12b qwen3.6-27b-mtp
MachineMacBook AirASUS
CPUApple M4AMD Ryzen 7 7800X3D 8-Core Processor
Cores1016
RAM32 GB31 GB
GPUApple M4NVIDIA GeForce RTX 4090, Raphael
OSmacOS 26.3cachyos rolling
Archarm64x64
Power Modebalancedperformance

Performance

mistral-nemo:12b qwen3.6-27b-mtp
Tokens/sec14.643.9
First chunkN/A10 ms
TTFT371 ms329 ms
Load time1.0 sN/A
Memory usage13.3 GB23.1 GB
Memory %42%76%

HW Fit Score Breakdown

mistral-nemo:12b

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

qwen3.6-27b-mtp

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

Quality

mistral-nemo:12b

Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3.6-27b-mtp

Reasoning
18/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View mistral-nemo:12b details | View qwen3.6-27b-mtp 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