readable AI benchmarks (simplified)
Google
Gemma 3 4B Instruct
Gemma 3 4B Instruct has a Quality Score of 6.7, ranking 238th among 238 scored models. Per 1M tokens, pricing is $0.0000 input and $0.0000 output. It has a 128k token context window. Its Reliability Score is 8.6, ranking 245th among 245 scored models, below average (total average: 46.4).
Quality Score6.7coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Scorenot available
Factual reliability8.6
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
- $0.0000
- Output
- $0.0000
- Cached Input
- not available
- Cache write
- not available
- Cost per task
- not available
Capability
- Intelligence
- 4.8
- Omniscience (native net)
- -82.9
- Correct
- 7.7%
- Blended price
- not available
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 98.4%
Correct 7.7%Incorrect 90.6%Partial / not attempted 1.6%
Artificial Analysis benchmarks legacy records
- τ³-Banking
- 0%
- Humanity’s Last Exam
- 5%
- GPQA Diamond
- 29%
- CritPt
- 0%
- AA-LCR
- 7%
Similar models
- Gemma 3n E4B InstructGoogleQuality Score 7.1Value Score not available
- Gemma 3n E2B InstructGoogleQuality Score 7.4Value 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