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-3.5 Turbo
OpenAI: GPT-3.5 Turbo wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | OpenAI: GPT-3.5 Turbo | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 16K | 🏆 AI21: Jamba Large 1.7 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.50 | 🏆 OpenAI: GPT-3.5 Turbo |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $1.50 | 🏆 OpenAI: GPT-3.5 Turbo |
| 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-3.5 Turbo?
OpenAI: GPT-3.5 Turbo 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: GPT-3.5 Turbo?
Input: $2.00 vs $0.50 per 1M tokens. Output: $8.00 vs $1.50 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and OpenAI: GPT-3.5 Turbo support?
AI21: Jamba Large 1.7 supports up to 256K tokens. OpenAI: GPT-3.5 Turbo supports up to 16K tokens.
Do both AI21: Jamba Large 1.7 and OpenAI: GPT-3.5 Turbo support tool calling?
AI21: Jamba Large 1.7: yes. OpenAI: GPT-3.5 Turbo: yes.