Back to leaderboard

qwen3.5-0.8b

LM-STUDIO GGUF

qwen35 · 0.8B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

Global Score
48 vs 65
Hardware Fit
61 vs 92
Quality Score
42 vs 54

Hardware

qwen3.5-0.8b qwen2.5:1.5b
MachineLENOVO 20BUS00700iMac
CPUIntel Core™ i5-5300UIntel Core™ i7-4771
Cores48
RAM16 GB32 GB
GPUIntel(R) HD Graphics 5500NVIDIA GeForce GTX 780M
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.3
Archx64x64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b qwen2.5:1.5b
Tokens/sec6.219.6
First chunk4461 ms690 ms
TTFT4.5 s690 ms
Load timeN/A21.4 s
Memory usage0.7 GB1.0 GB
Memory %4%3%

HW Fit Score Breakdown

qwen3.5-0.8b

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

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
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

qwen2.5:1.5b

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
View qwen3.5-0.8b details | View qwen2.5:1.5b 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