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: GPT-5 Nano
OpenAI: GPT-5 Nano wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger counterparts, it retains key …
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | OpenAI: GPT-5 Nano | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 400K | 🏆 OpenAI: GPT-5 Nano |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.05 | 🏆 OpenAI: GPT-5 Nano |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $0.40 | 🏆 OpenAI: GPT-5 Nano |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 OpenAI: GPT-5 Nano |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 OpenAI: GPT-5 Nano |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than OpenAI: GPT-5 Nano?
OpenAI: GPT-5 Nano wins on 5 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-5 Nano?
Input: $2.00 vs $0.05 per 1M tokens. Output: $8.00 vs $0.40 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and OpenAI: GPT-5 Nano support?
AI21: Jamba Large 1.7 supports up to 256K tokens. OpenAI: GPT-5 Nano supports up to 400K tokens.
Do both AI21: Jamba Large 1.7 and OpenAI: GPT-5 Nano support tool calling?
AI21: Jamba Large 1.7: yes. OpenAI: GPT-5 Nano: yes.