readable AI benchmarks (simplified)
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Llama 3.2 Instruct 1B
Llama 3.2 Instruct 1B has a Quality Score of 15.0, ranking 482nd among 551 scored models. It has a 128k token context window. Its Reliability Score is 22.6, ranking 422nd among 553 scored models, below average (total average: 35.6).
Quality Score15.0coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Scorenot available
Factual reliability22.6
Cache Discountnot available
Model specification
- Reasoning
- non-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
- 4.8
- Coding
- not available
- Agentic
- not available
- Omniscience
- -54.7
- Correct
- 7.0%
- Blended price
- not available
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 68.7%
Correct 7.0%Incorrect 61.7%Partial / not attempted 31.3%
Artificial Analysis benchmarks
- Humanity’s Last Exam
- 5%
- GPQA Diamond
- 20%
- CritPt
- 0%
- AA-Omniscience
- 23%
- AA-LCR
- 7%
Similar models
- Llama 3 Instruct 70BMetaQuality Score 15.6Value Score not available
- Llama 3.2 Instruct 11B (Vision)MetaQuality Score 13.5Value Score not available
- Llama 3 Instruct 8BMetaQuality Score 11.2Value Score not available
- Llama 3.3 Instruct 70BMetaQuality Score 17.4Value Score 12.7
- Llama 4 ScoutMetaQuality Score 18.2Value Score not available
- Llama 3.1 Instruct 70BMetaQuality Score 19.3Value Score not available