Back to leaderboard

qwen2.5-7b-instruct

LM-STUDIO MLX

qwen2 · 7B · 4bit

Excellent

Mar 3, 2026 · Apple M4

llama4:scout

OLLAMA GGUF

llama4 · 108.6B · Q4_K_M

Excellent

Oct 3, 2026 · Cortex-X925

Global Score
82 vs 81
Hardware Fit
92 vs 64
Quality Score
78 vs 88

Hardware

qwen2.5-7b-instruct llama4:scout
MachineMacBook AirNVIDIA NVIDIA_DGX_Spark
CPUApple M4Cortex-X925
Cores1020
RAM32 GB122 GB
GPUApple M4Device 2e12
OSmacOS 26.3Ubuntu 24.04.5 LTS
Archarm64arm64
Power Modebalancedperformance

Performance

qwen2.5-7b-instruct llama4:scout
Tokens/sec22.019.6
First chunk477 ms677 ms
TTFT477 ms677 ms
Load timeN/A13.1 s
Memory usage4.0 GB63.4 GB
Memory %13%52%

HW Fit Score Breakdown

qwen2.5-7b-instruct

Speed
43/50
TTFT
20/20
Memory
29/30

llama4:scout

Speed
20/50
TTFT
20/20
Memory
24/30

Quality

qwen2.5-7b-instruct

Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

llama4:scout

Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
13/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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