gpt-oss:20b

gptoss · 20.9B · MXFP4

THINKING MODEL

MacBook Pro (Apple M4 Pro)

48 GB · macOS 26.4.1

Tested on May 25, 2026 · Submitted by jc_code

Top 2% Compare

Global Score

94 /100

Excellent

Hardware Fit

92/100

Quality

95/100

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ollama pull gpt-oss:20b

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GGUF versions & quantizations

Hardware

Machine: MacBook Pro
CPU: Apple M4 Pro
Cores: 14 total (10 perf + 4 eff)
Frequency: 2.4 GHz
RAM: 48 GB LPDDR5
GPU: Apple M4 Pro
OS: macOS 26.4.1
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 54.5
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: 318 ms
Time to first token How fast the model starts responding — lower is better: 2.9 s
Load time Time to load the model into memory before inference: 4.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 16.4 GB (34%)
Total tokens Total number of tokens generated across all benchmark prompts: 1713
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~491

Score breakdown

Speed

50/50

Time to first token

13/20

Memory

29/30

Quality

Reasoning

19/20

Coding

19/20

Instruction following

17/20

Structured output

15/15

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 0.24.0
Model format: GGUF
Hardware profile: BALANCED
Result hash: a1e98c849fa9eeab1b2217495d069d6056c1c0ac874cd388693501dd086c23f0

Interpretation

Hardware fit: 92/100. Overall suitability: EXCELLENT (Global 94/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 9% (peak 18%)

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