Back to leaderboard

qwen2.5-1.5b-instruct

LM-STUDIO MLX

qwen2 · 1.5B · 8bit

Good

Mar 4, 2026 · Apple M4

llama4:scout

OLLAMA GGUF

llama4 · 108.6B · Q4_K_M

Excellent

Oct 3, 2026 · Cortex-X925

Global Score
69 vs 81
Hardware Fit
100 vs 64
Quality Score
56 vs 88

Hardware

qwen2.5-1.5b-instr… 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

qwen2.5-1.5b-instr… llama4:scout
Tokens/sec58.119.6
First chunk211 ms677 ms
TTFT211 ms677 ms
Load timeN/A13.1 s
Memory usage1.5 GB63.4 GB
Memory %5%52%

HW Fit Score Breakdown

qwen2.5-1.5b-instruct

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

llama4:scout

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

Quality

qwen2.5-1.5b-instruct

Reasoning
9/20
Coding
10/20
Instruction
10/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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
View qwen2.5-1.5b-instr… details | View llama4:scout 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