readable AI benchmarks (simplified)
OpenAI
o3-mini (High)
o3-mini (High) has a Quality Score of 19.8, ranking 200th among 238 scored models. Per 1M tokens, pricing is $1.10 input, $4.40 output, and $0.550 cached input. It has a 200k token context window. Its Reliability Score is 28.7, ranking 200th among 245 scored models, below average (total average: 46.4). Its Value Score is 13.8, low compared with the total Value average of 28.3.
Quality Score19.8coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score13.8
Factual reliability28.7
Cache Discount50%
Model specification
- Reasoning
- reasoning
- Input modalities
- none
- Output modalities
- none
- Context window
- 200k tokens
- Weights
- closed weights
Token prices USD per 1M tokens
- Input
- $1.10
- Output
- $4.40
- Cached Input
- $0.550
- Cache write
- not available
- Cost per task
- not available
Capability
- Intelligence
- 11.0
- Omniscience (native net)
- -42.6
- Correct
- 21.3%
- Blended price
- $1.05
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 85.1%
Correct 21.3%Incorrect 63.8%Partial / not attempted 14.9%
Artificial Analysis benchmarks legacy records
- Legacy GDPval-AA (normalized)
- 0%
- τ³-Banking
- 5%
- SciCode
- 43%
- Humanity’s Last Exam
- 12%
- GPQA Diamond
- 77%
- CritPt
- 0%
- AA-LCR
- 43%
Similar models
- GPT-5 nano (Medium)OpenAIQuality Score 24.8Value Score 23.2
- GPT-6 Luna (Low)OpenAIQuality Score 25.3Value Score 23.1
- GPT-5.4 mini (Medium)OpenAIQuality Score 29.7Value Score 21.9
- GPT-6 Luna (Medium)OpenAIQuality Score 30.8Value Score 28.2
- GPT-5.4 nano (Medium)OpenAIQuality Score 30.5Value Score 26.0
- GPT-5.6 Luna (Low)OpenAIQuality Score 31.8Value Score 27.2