AI21: Jamba Large 1.7 vs OpenAI: GPT-5.5
Side-by-side comparison — pricing, context window, capabilities, and live leaderboard data.
Key differences
- OpenAI: GPT-5.5 has a 1050K-token context window — 4.1× larger than AI21: Jamba Large 1.7's 256K.
- AI21: Jamba Large 1.7 is 60% cheaper per 1K input tokens than OpenAI: GPT-5.5 ($0.0020 vs $0.0050).
- AI21: Jamba Large 1.7 is built by AI21; OpenAI: GPT-5.5 is built by OpenAI.
- OpenAI: GPT-5.5 supports vision (image inputs); the other does not.
Specifications
| AI21: Jamba Large 1.7 | OpenAI: GPT-5.5 | |
|---|---|---|
| Provider | AI21 | OpenAI |
| Context window | 256K | 1050K |
| Max output tokens | 8192 | 8192 |
| Input price / 1K tokens | $0.0020 | $0.0050 |
| Output price / 1K tokens | $0.0080 | $0.0300 |
| 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 OpenAI: GPT-5.5
US·ClosedGPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
View OpenAI: GPT-5.5 reliability and benchmark history →Try them yourself
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