Auto-generated comparison

AI21: Jamba Large 1.7 vs OpenAI: GPT-5.6 Luna

OpenAI: GPT-5.6 Luna wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityAI21: Jamba Large 1.7OpenAI: GPT-5.6 LunaWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
256K1.1M🏆 OpenAI: GPT-5.6 Luna
Input price (per 1M)
Cost per million input tokens billed by the provider.
$2.00$0.10🏆 OpenAI: GPT-5.6 Luna
Output price (per 1M)
Cost per million output tokens billed by the provider.
$8.00$0.60🏆 OpenAI: GPT-5.6 Luna
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 OpenAI: GPT-5.6 Luna
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 OpenAI: GPT-5.6 Luna

Frequently asked questions

Is AI21: Jamba Large 1.7 better than OpenAI: GPT-5.6 Luna?

OpenAI: GPT-5.6 Luna 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-5.6 Luna?

Input: $2.00 vs $0.10 per 1M tokens. Output: $8.00 vs $0.60 per 1M tokens.

What context windows do AI21: Jamba Large 1.7 and OpenAI: GPT-5.6 Luna support?

AI21: Jamba Large 1.7 supports up to 256K tokens. OpenAI: GPT-5.6 Luna supports up to 1.1M tokens.

Do both AI21: Jamba Large 1.7 and OpenAI: GPT-5.6 Luna support tool calling?

AI21: Jamba Large 1.7: yes. OpenAI: GPT-5.6 Luna: yes.

Compare AI21: Jamba Large 1.7 with other models

Compare OpenAI: GPT-5.6 Luna with other models