AI21: Jamba Large 1.7 vs Amazon: Nova Premier 1.0
Side-by-side comparison — pricing, context window, capabilities, and live leaderboard data.
Key differences
- Amazon: Nova Premier 1.0 has a 1000K-token context window — 3.9× larger than AI21: Jamba Large 1.7's 256K.
- AI21: Jamba Large 1.7 is 20% cheaper per 1K input tokens than Amazon: Nova Premier 1.0 ($0.0020 vs $0.0025).
- AI21: Jamba Large 1.7 is built by AI21; Amazon: Nova Premier 1.0 is built by Amazon.
- Amazon: Nova Premier 1.0 supports vision (image inputs); the other does not.
Specifications
| AI21: Jamba Large 1.7 | Amazon: Nova Premier 1.0 | |
|---|---|---|
| Provider | AI21 | Amazon |
| Context window | 256K | 1000K |
| Max output tokens | 8192 | 8192 |
| Input price / 1K tokens | $0.0020 | $0.0025 |
| Output price / 1K tokens | $0.0080 | $0.0125 |
| Vision support | No | Yes |
| Function calling | No | No |
| License | Proprietary | Proprietary |
About AI21: Jamba Large 1.7
Other·ClosedJamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...
View AI21: Jamba Large 1.7 reliability and benchmark history →About Amazon: Nova Premier 1.0
US·ClosedAmazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
View Amazon: Nova Premier 1.0 reliability and benchmark history →Try them yourself
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