Models / ai21-jamba-large-1.7
AI21 Labsai21-jamba-large-1.7
5 published results from 2 sources. Each card shows where the number comes from and what it does not measure. Results are never combined into one score.
- Provider
- AI21 Labs
- Sources
- 2
- Our benchmarks
- 0
- Price
- Not yet published
Reported by others
20.0%
Requested-length error · rank 179 of 370
- Unit
- % off the requested word count, lower is better
- Configuration
- ai21-jamba-large-1.7
- Measured
- 21 Sep 2025
- Not shown
- Not other format limits such as character counts or bullet counts.
0.36
Style adherence · rank 140 of 370
- Unit
- score from 0 to 1, higher is better
- Configuration
- ai21-jamba-large-1.7
- Measured
- 21 Sep 2025
- Not shown
- Not brand voice on your own examples: UGI's prompts are private and lean towards creative writing.
38.0
Writing score · rank 227 of 370
- Unit
- score out of 100, higher is better
- Configuration
- ai21-jamba-large-1.7
- Measured
- 21 Sep 2025
- Not shown
- Not business copy quality: UGI's prompts are private and lean towards creative writing, and models that often refuse get no score.
98.9%
Answer rate · rank 71 of 108
- Unit
- % of documents, higher is better
- Configuration
- ai21-jamba-large-1.7
- Measured
- 22 Sep 2026
- Not shown
- Not a quality score: a low rate usually means content filters were triggered, and hallucination rates are measured on answered documents only.
9.7%
Hallucination rate · rank 57 of 108
- Unit
- % of summaries, lower is better
- Configuration
- ai21-jamba-large-1.7
- Measured
- 22 Sep 2026
- Not shown
- Not errors in open questions or other tasks: only summarisation, judged by Vectara's own model (HHEM-2.3), not by people, on news-style documents rather than your data.
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