Jamba 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...
Model details →AI21: Jamba Large 1.7 vs OpenAI: GPT Audio
AI21: Jamba Large 1.7 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | OpenAI: GPT Audio | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 128K | 🏆 AI21: Jamba Large 1.7 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $2.50 | 🏆 AI21: Jamba Large 1.7 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $10.00 | 🏆 AI21: Jamba Large 1.7 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than OpenAI: GPT Audio?
AI21: Jamba Large 1.7 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between AI21: Jamba Large 1.7 and OpenAI: GPT Audio?
Input: $2.00 vs $2.50 per 1M tokens. Output: $8.00 vs $10.00 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and OpenAI: GPT Audio support?
AI21: Jamba Large 1.7 supports up to 256K tokens. OpenAI: GPT Audio supports up to 128K tokens.
Do both AI21: Jamba Large 1.7 and OpenAI: GPT Audio support tool calling?
AI21: Jamba Large 1.7: yes. OpenAI: GPT Audio: yes.