Back to leaderboard

qwen3.5-0.8b

LM-STUDIO GGUF

qwen35 · 0.8B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

gemma-4-e2b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
48 vs 79
Hardware Fit
61 vs 81
Quality Score
42 vs 78

Hardware

qwen3.5-0.8b gemma-4-e2b-it@q5_…
MachineLENOVO 20BUS00700Docker Container
CPUIntel Core™ i5-5300UIntel Gen Intel® Core™ i9-11900H
Cores416
RAM16 GB15 GB
GPUIntel(R) HD Graphics 5500TigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 10 Professionnel 10.0.19045Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

qwen3.5-0.8b gemma-4-e2b-it@q5_…
Tokens/sec6.217.2
First chunk4461 ms7 ms
TTFT4.5 s1.6 s
Load timeN/A8.9 s
Memory usage0.7 GB0.0 GB
Memory %4%0%

HW Fit Score Breakdown

qwen3.5-0.8b

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

gemma-4-e2b-it@q5_k_xl

Speed
32/50
TTFT
19/20
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

gemma-4-e2b-it@q5_k_xl

Reasoning
11/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5-0.8b details | View gemma-4-e2b-it@q5_… 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