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deepseek-r1:1.5b

OLLAMA GGUF

qwen2 · 1.8B · Q4_K_M

Good

Jun 26, 2026 · Cortex-A78AE

gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

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

Global Score
60 vs 81
Hardware Fit
90 vs 90
Quality Score
47 vs 77

Hardware

deepseek-r1:1.5b gemma-4-e2b-it-qat
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperDocker Container
CPUCortex-A78AEIntel Gen Intel® Core™ i9-11900H
Cores616
RAM7 GB15 GB
GPUIntegrated / UnknownTigerLake-H GT1 [UHD Graphics]
OSUbuntu 22.04.5 LTSUbuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

deepseek-r1:1.5b gemma-4-e2b-it-qat
Tokens/sec34.622.2
First chunk5314 ms67 ms
TTFT5.3 s1.1 s
Load time5.1 s5.4 s
Memory usage1.1 GB0.0 GB
Memory %15%0%

HW Fit Score Breakdown

deepseek-r1:1.5b

Speed
50/50
TTFT
10/20
Memory
30/30

gemma-4-e2b-it-qat

Speed
40/50
TTFT
20/20
Memory
30/30

Quality

deepseek-r1:1.5b

Reasoning
11/20
Coding
6/20
Instruction
7/20
Structured
4/15
Math
14/15
Multilingual
5/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Weak

gemma-4-e2b-it-qat

Reasoning
10/20
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 deepseek-r1:1.5b details | View gemma-4-e2b-it-qat 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