readable AI benchmarks (simplified)
Google
Gemma 3 27B Instruct
Gemma 3 27B Instruct has a Quality Score of 10.6, ranking 230th 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 16.4, ranking 235th among 245 scored models, below average (total average: 46.4).
Quality Score10.6coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Scorenot available
Factual reliability16.4
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
- $0.0000
Capability
- Intelligence
- 4.9
- Omniscience (native net)
- -67.2
- Correct
- 13.0%
- Blended price
- not available
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 93.1%
Correct 13.0%Incorrect 80.2%Partial / not attempted 6.9%
Artificial Analysis benchmarks legacy records
- Legacy GDPval-AA (normalized)
- 0%
- τ³-Banking
- 1%
- SciCode
- 23%
- Humanity’s Last Exam
- 4%
- GPQA Diamond
- 43%
- CritPt
- 0%
- AA-LCR
- 7%
Similar models
- Gemma 3 1B InstructGoogleQuality Score 8.6Value Score not available
- Gemma 3n E2B InstructGoogleQuality Score 7.4Value Score not available
- Gemma 3n E4B InstructGoogleQuality Score 7.1Value Score not available
- Gemma 3 12B InstructGoogleQuality Score 7.6Value Score not available
- Gemma 3 4B InstructGoogleQuality Score 6.7Value Score not available
- Gemma 4 31B (Reasoning)GoogleQuality Score 15.1Value Score not available