Quality
#37/670
Overall quality score
See how AI21: Jamba Large 1.7 compares with other broadly useful AI models across quality, speed, price, context, and practical capabilities.
0
Overall quality score
20 t/s
Output tokens per second
$2.00/1M
Per 1M tokens
$8.00/1M
Per 1M tokens
256K
Content read at once
AI21: Jamba Large 1.7 ranks #37 of 67 for overall quality and #54 for response speed in the current catalogue.
Its listed input price is $2.00/1M, output price is $8.00/1M, and it can work with up to 256K of context at once.
Its strongest areas in the current data are everyday help, coding, complex tasks.
Named evaluation records for technical comparison. Results retain their original benchmark names and sources.
| Benchmark | Area | Jamba Large 1.7 | Source |
|---|---|---|---|
| GPQA | GPQA Diamond | 39 | OpenRouter model benchmarks |
| Humanity's Last Exam | HLE | 3.8 | OpenRouter model benchmarks |
| IFBench | IFBench | 35.2 | OpenRouter model benchmarks |
| τ²-Bench Telecom | τ²-Bench Telecom | 13.5 | OpenRouter model benchmarks |
| AA-LCR | AA-LCR | 17.3 | OpenRouter model benchmarks |
| CritPt | CritPt | 0 | OpenRouter model benchmarks |
| SciCode | SciCode | 18.8 | OpenRouter model benchmarks |
| Terminal-Bench Hard | Terminal-Bench Hard | 2.3 | OpenRouter model benchmarks |
| AA-Omniscience Accuracy | AA-Omniscience Accuracy | 19.7 | OpenRouter model benchmarks |
| AA-Omniscience Non-Hallucination Rate | AA-Omniscience Non-Hallucination Rate | 6.2 | OpenRouter model benchmarks |
Quality benchmarks
The darker bar marks AI21: Jamba Large 1.7; the lighter bars provide context from other leading models.
Overall capability · Higher is better
Output tokens per second · Higher is better
USD per 1M tokens · Lower is better