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
OpenAI: o3 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following. Use it to think through multi-step problems…
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | OpenAI: o3 | 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 | $2.00 | Tie |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $8.00 | Tie |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 OpenAI: o3 |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 OpenAI: o3 |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than OpenAI: o3?
OpenAI: o3 wins on 2 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?
Input: $2.00 vs $2.00 per 1M tokens. Output: $8.00 vs $8.00 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and OpenAI: o3 support?
AI21: Jamba Large 1.7 supports up to 256K tokens. OpenAI: o3 supports up to 200K tokens.
Do both AI21: Jamba Large 1.7 and OpenAI: o3 support tool calling?
AI21: Jamba Large 1.7: yes. OpenAI: o3: yes.