minimax-m2.7:cloud

minimax

THINKING MODEL

Mac mini (Apple M4)

24 GB · macOS 26.3

Tested on April 1, 2026 · Submitted by cryptoepops

Top 36% Compare

Global Score

74 /100

Not Rec.

Hardware Fit

34/100

Quality

91/100

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Ollama

ollama pull minimax-m2.7:cloud

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ollama.com/library/minimax-m2.7

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GGUF versions & quantizations

Hardware

Machine: Mac mini
CPU: Apple M4
Cores: 10 total (4 perf + 6 eff)
Frequency: 2.4 GHz
RAM: 24 GB LPDDR5
GPU: Apple M4
OS: macOS 26.3
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 0.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.0
First chunk latency Delay before the first streamed chunk arrives from runtime: 7.6 s
Time to first token How fast the model starts responding — lower is better: 11.4 s
Load time Time to load the model into memory before inference: 0.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 0.7 GB (3%)
Total tokens Total number of tokens generated across all benchmark prompts: 1578
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~808

Score breakdown

Speed

0/50

Time to first token

4/20

Memory

30/30

Quality

Reasoning

19/20

Coding

18/20

Instruction following

15/20

Structured output

14/15

Math

15/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.19.0
Model format: GGUF
Hardware profile: ENTRY
Result hash: 20022c9eb9c980be73917042af6cfb061107e227d54cfe7ab115df5fd1b38bad

Interpretation

Hardware fit: 34/100. Overall suitability: NOT RECOMMENDED (Global 74/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Disqualifiers

Token speed too low: 0.0 tok/s (minimum: 3 tok/s for ENTRY profile)

Bench Environment

Power: AC CPU load: avg 28% (peak 35%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest