Back to leaderboard

qwen2.5:3b

OLLAMA GGUF

qwen2 · 3.1B · Q4_K_M

Good

Jun 26, 2026 · Cortex-A78AE

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score
77 vs 71
Hardware Fit
100 vs 86
Quality Score
67 vs 65

Hardware

qwen2.5:3b mistral-nemo:12b
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperMacBook Air
CPUCortex-A78AEApple M4
Cores610
RAM7 GB32 GB
GPUIntegrated / UnknownApple M4
OSUbuntu 22.04.5 LTSmacOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen2.5:3b mistral-nemo:12b
Tokens/sec21.414.6
First chunk1006 msN/A
TTFT1.0 s371 ms
Load time6.4 s1.0 s
Memory usage2.0 GB13.3 GB
Memory %27%42%

HW Fit Score Breakdown

qwen2.5:3b

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

mistral-nemo:12b

Speed
26/50
TTFT
30/20
Memory
30/30

Quality

qwen2.5:3b

Reasoning
12/20
Coding
14/20
Instruction
11/20
Structured
15/15
Math
6/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

mistral-nemo:12b

Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen2.5:3b details | View mistral-nemo:12b 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