Back to leaderboard

qwen3.5-0.8b

LM-STUDIO GGUF

qwen35 · 0.8B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

qwen2.5:14b

OLLAMA GGUF

qwen2 · 14.8B · Q4_K_M

Excellent

Mar 1, 2026 · Apple M4

Global Score
48 vs 83
Hardware Fit
61 vs 80
Quality Score
42 vs 84

Hardware

qwen3.5-0.8b qwen2.5:14b
MachineLENOVO 20BUS00700MacBook Air
CPUIntel Core™ i5-5300UApple M4
Cores410
RAM16 GB32 GB
GPUIntel(R) HD Graphics 5500Apple M4
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b qwen2.5:14b
Tokens/sec6.211.2
First chunk4461 msN/A
TTFT4.5 s539 ms
Load timeN/A1.0 s
Memory usage0.7 GB16.5 GB
Memory %4%52%

HW Fit Score Breakdown

qwen3.5-0.8b

Speed
22/50
TTFT
12/20
Memory
27/30

qwen2.5:14b

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

Quality

qwen3.5-0.8b

Reasoning
10/20
Coding
2/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
6/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

qwen2.5:14b

Reasoning
17/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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