readable AI benchmarks (simplified)
Google
Gemma 3n E4B Instruct
Gemma 3n E4B Instruct has a Quality Score of 7.1, ranking 237th among 238 scored models. It has a 32k token context window. Its Reliability Score is 9.3, ranking 244th among 245 scored models, below average (total average: 46.4).
Quality Score7.1coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Scorenot available
Factual reliability9.3
Cache Discountnot available
Model specification
- Reasoning
- non-reasoning
- Input modalities
- none
- Output modalities
- none
- Context window
- 32k 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
- Omniscience (native net)
- -81.3
- Correct
- 8.0%
- Blended price
- not available
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 97.3%
Correct 8.0%Incorrect 89.3%Partial / not attempted 2.7%
Artificial Analysis benchmarks legacy records
- τ³-Banking
- 0%
- Humanity’s Last Exam
- 4%
- GPQA Diamond
- 30%
- CritPt
- 0%
- AA-LCR
- 0%
Similar models
- Gemma 3n E2B InstructGoogleQuality Score 7.4Value Score not available
- Gemma 3 4B InstructGoogleQuality Score 6.7Value Score not available
- Gemma 3 12B InstructGoogleQuality Score 7.6Value Score not available
- Gemma 3 1B InstructGoogleQuality Score 8.6Value Score not available
- Gemma 3 27B InstructGoogleQuality Score 10.6Value Score not available
- Gemma 4 31B (Reasoning)GoogleQuality Score 15.1Value Score not available