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mistral:7b

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

nvidia/nemotron-3-nano

LM-STUDIO MLX

nemotron_h · 30B · 4bit

Excellent

Mar 4, 2026 · Apple M4

Global Score
70 vs 84
Hardware Fit
94 vs 100
Quality Score
60 vs 77

Hardware

mistral:7b nvidia/nemotron-3-…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

mistral:7b nvidia/nemotron-3-…
Tokens/sec22.547.9
First chunk252 ms465 ms
TTFT252 ms465 ms
Load time0.7 sN/A
Memory usage10.1 GB16.6 GB
Memory %32%52%

HW Fit Score Breakdown

mistral:7b

Speed
44/50
TTFT
20/20
Memory
30/30

nvidia/nemotron-3-nano

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

Quality

mistral:7b

Reasoning
8/20
Coding
12/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

nvidia/nemotron-3-nano

Reasoning
13/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View mistral:7b details | View nvidia/nemotron-3-… 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