Back to leaderboard

deepseek-r1:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

qwen3-vl-4b-instruct

LM-STUDIO GGUF

qwen3vl · 4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

Global Score
66 vs 87
Hardware Fit
63 vs 100
Quality Score
67 vs 81

Hardware

deepseek-r1:7b qwen3-vl-4b-instruct
MachineGigabyte Technology Co., Ltd. H170M-D3HMac Studio
CPUIntel Core™ i5-6500Apple M2 Max
Cores412
RAM16 GB96 GB
GPUGP104 [GeForce GTX 1070]Apple M2 Max
OSUbuntu 24.04.4 LTSmacOS 26.1
Archx64arm64
Power Modelow-powerbalanced

Performance

deepseek-r1:7b qwen3-vl-4b-instruct
Tokens/sec35.671.6
First chunk224 ms5 ms
TTFT7.5 s157 ms
Load time7.7 sN/A
Memory usage4.6 GB20.5 GB
Memory %29%21%

HW Fit Score Breakdown

deepseek-r1:7b

Speed
50/50
TTFT
7/20
Memory
6/30

qwen3-vl-4b-instruct

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

Quality

deepseek-r1:7b

Reasoning
16/20
Coding
10/20
Instruction
9/20
Structured
10/15
Math
14/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong

qwen3-vl-4b-instruct

Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View deepseek-r1:7b details | View qwen3-vl-4b-instruct 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