Back to leaderboard

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

mistralai/magistral-small-2509

LM-STUDIO MLX

mistral3 · 24B · 4bit

Good

Mar 4, 2026 · Apple M4

Global Score
65 vs 74
Hardware Fit
92 vs 66
Quality Score
54 vs 78

Hardware

qwen2.5:1.5b mistralai/magistra…
MachineiMacMacBook Air
CPUIntel Core™ i7-4771Apple M4
Cores810
RAM32 GB32 GB
GPUNVIDIA GeForce GTX 780MApple M4
OSmacOS 15.7.3macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:1.5b mistralai/magistra…
Tokens/sec19.67.9
First chunk690 ms1356 ms
TTFT690 ms1.4 s
Load time21.4 sN/A
Memory usage1.0 GB13.2 GB
Memory %3%41%

HW Fit Score Breakdown

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
Memory
30/30

mistralai/magistral-sma…

Speed
16/50
TTFT
20/20
Memory
30/30

Quality

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate

mistralai/magistral-sma…

Reasoning
14/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen2.5:1.5b details | View mistralai/magistra… 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