mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

qwen3.6-35b-a3b-claude-4.7-opus-reasoning-distilled-apex

LM-STUDIO GGUF

qwen35moe · 35B

Excellent

Jul 17, 2026 · Apple M5 Max

Global Score

71 vs 90

Hardware Fit

86 vs 98

Quality Score

65 vs 86

Hardware

mistral-nemo:12b qwen3.6-35b-a3b-cl…

MachineMacBook AirMacBook Pro

CPUApple M4Apple M5 Max

Cores1018

RAM32 GB64 GB

GPUApple M4Apple M5 Max

OSmacOS 26.3macOS 27.0

Archarm64arm64

Power Modebalancedbalanced

Performance

mistral-nemo:12b qwen3.6-35b-a3b-cl…

Tokens/sec14.686.6

First chunkN/A13 ms

TTFT371 ms143 ms

Load time1.0 sN/A

Memory usage13.3 GB23.9 GB

Memory %42%37%

HW Fit Score Breakdown

mistral-nemo:12b

Speed

26/50

TTFT

30/20

Memory

30/30

qwen3.6-35b-a3b-claude-…

Speed

50/50

TTFT

20/20

Memory

28/30

Quality

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

qwen3.6-35b-a3b-claude-…

Reasoning

18/20

Coding

17/20

Instruction

14/20

Structured

15/15

Math

12/15

Multilingual

10/10

Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

View mistral-nemo:12b details | View qwen3.6-35b-a3b-cl… 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