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: o3 Pro
AI21: Jamba Large 1.7 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently better answers. Note that BYOK is require…
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | OpenAI: o3 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 | $20.00 | 🏆 AI21: Jamba Large 1.7 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $80.00 | 🏆 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. | — | Yes | 🏆 OpenAI: o3 Pro |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 OpenAI: o3 Pro |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than OpenAI: o3 Pro?
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: o3 Pro?
Input: $2.00 vs $20.00 per 1M tokens. Output: $8.00 vs $80.00 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and OpenAI: o3 Pro support?
AI21: Jamba Large 1.7 supports up to 256K tokens. OpenAI: o3 Pro supports up to 200K tokens.
Do both AI21: Jamba Large 1.7 and OpenAI: o3 Pro support tool calling?
AI21: Jamba Large 1.7: yes. OpenAI: o3 Pro: yes.