gpt-oss-orchestrator:latest

gptoss · 20.9B · MXFP4

THINKING MODEL

Mac mini (Apple M4)

24 GB · macOS 26.3

Tested on March 19, 2026 · Submitted by cryptoepops

Top 5% Compare

Global Score

88 /100

Excellent

Hardware Fit

80/100

Quality

91/100

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Ollama

ollama pull gpt-oss-orchestrator:latest

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ollama.com/library/gpt-oss-orchestrator

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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: 24.6
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 525 ms
Time to first token How fast the model starts responding — lower is better: 4.8 s
Load time Time to load the model into memory before inference: 8.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 13.8 GB (58%)
Total tokens Total number of tokens generated across all benchmark prompts: 1554
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~467

Score breakdown

Speed

49/50

Time to first token

10/20

Memory

21/30

Quality

Reasoning

19/20

Coding

19/20

Instruction following

13/20

Structured output

15/15

Math

15/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.7
Model format: GGUF
Hardware profile: ENTRY
Result hash: 673b4953e68d2653eb966d4dfc7e8133af2256d510d53f3b287b783cd3f86fbd

Interpretation

Hardware fit: 80/100. Overall suitability: EXCELLENT (Global 88/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC Swap delta: +0.5 GB CPU load: avg 12% (peak 14%)

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