readable AI benchmarks (simplified)
AI21 Labs
Jamba 1.7 Large
Jamba 1.7 Large has a Quality Score of 15.9, ranking 489th among 577 scored models. It has a 256k token context window. Its Reliability Score is 22.5, ranking 449th among 579 scored models, below average (total average: 36.6).
Quality Score15.9coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Scorenot available
Factual reliability22.5
Cache Discountnot available
Model specification
- Reasoning
- non-reasoning
- Input modalities
- none
- Output modalities
- none
- Context window
- 256k 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
- 6.1
- Coding
- not available
- Agentic
- not available
- Omniscience
- -54.9
- Correct
- 20.6%
- Blended price
- not available
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 96.1%
Correct 20.6%Incorrect 75.5%Partial / not attempted 3.9%
Artificial Analysis benchmarks
- Humanity’s Last Exam
- 4%
- GPQA Diamond
- 39%
- CritPt
- 0%
- AA-Omniscience
- 23%
- AA-LCR
- 19%
Similar models
- Jamba 1.7 MiniAI21 LabsQuality Score 10.7Value Score not available
- Jamba Reasoning 3BAI21 LabsQuality Score 14.9Value Score not available
- Jamba 1.5 LargeAI21 LabsQuality Score not availableValue Score not available
- Jamba 1.6 LargeAI21 LabsQuality Score not availableValue Score not available
- Jamba 1.5 MiniAI21 LabsQuality Score not availableValue Score not available
- Jamba 1.6 MiniAI21 LabsQuality Score not availableValue Score not available