readable AI benchmarks (simplified)
DeepSeek
DeepSeek V3.2 Speciale
DeepSeek V3.2 Speciale has a Quality Score of 31.7, ranking 238th among 551 scored models. It has a 128k token context window. Its Reliability Score is 41.1, ranking 207th among 553 scored models, above average (total average: 35.6).
Quality Score31.7coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Scorenot available
Factual reliability41.1
Cache Discountnot available
Model specification
- Reasoning
- reasoning
- Input modalities
- none
- Output modalities
- none
- Context window
- 128k tokens
- Weights
- open weights
Token prices USD per 1M tokens
- Input
- not available
- Output
- not available
- Cached Input
- not available
- Cache write
- not available
- Cost per task
- not available
Capability
- Intelligence
- 14.5
- Coding
- not available
- Agentic
- not available
- Omniscience
- -17.7
- Correct
- 37.8%
- Blended price
- not available
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 93.2%
Correct 37.8%Incorrect 55.5%Partial / not attempted 6.8%
Artificial Analysis benchmarks
- Humanity’s Last Exam
- 29%
- GPQA Diamond
- 87%
- CritPt
- 7%
- AA-Omniscience
- 41%
- AA-LCR
- 70%
Similar models
- DeepSeek V3.1 Terminus (Reasoning)DeepSeekQuality Score 29.8Value Score 19.5
- DeepSeek V3.2 Exp (Reasoning)DeepSeekQuality Score 30.0Value Score 26.6
- DeepSeek R1 0528 (May '25)DeepSeekQuality Score 28.2Value Score 18.8
- DeepSeek V3.1 (Reasoning)DeepSeekQuality Score 28.0Value Score 20.4
- DeepSeek R1 (Jan '25)DeepSeekQuality Score 25.7Value Score not available
- DeepSeek V3.2 (Reasoning)DeepSeekQuality Score 35.9Value Score 32.0