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 window, it delivers more acc…
Model details →AI21: Jamba Large 1.7 vs OpenAI: o1-pro
AI21: Jamba Large 1.7 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide consistently better answers.
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | OpenAI: o1-pro | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 200K | 🏆 AI21: Jamba Large 1.7 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $150.00 | 🏆 AI21: Jamba Large 1.7 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $600.00 | 🏆 AI21: Jamba Large 1.7 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 AI21: Jamba Large 1.7 |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 OpenAI: o1-pro |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 OpenAI: o1-pro |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than OpenAI: o1-pro?
AI21: Jamba Large 1.7 wins on 4 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: o1-pro?
Input: $2.00 vs $150.00 per 1M tokens. Output: $8.00 vs $600.00 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and OpenAI: o1-pro support?
AI21: Jamba Large 1.7 supports up to 256K tokens. OpenAI: o1-pro supports up to 200K tokens.
Do both AI21: Jamba Large 1.7 and OpenAI: o1-pro support tool calling?
AI21: Jamba Large 1.7: yes. OpenAI: o1-pro: not advertised.