Auto-generated comparison

AI21: Jamba Large 1.7 vs Google: Gemini 2.5 Pro Preview 05-06

Google: Gemini 2.5 Pro Preview 05-06 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityAI21: Jamba Large 1.7Google: Gemini 2.5 Pro Preview 05-06Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
256K1.0M🏆 Google: Gemini 2.5 Pro Preview 05-06
Input price (per 1M)
Cost per million input tokens billed by the provider.
$2.00$1.25🏆 Google: Gemini 2.5 Pro Preview 05-06
Output price (per 1M)
Cost per million output tokens billed by the provider.
$8.00$10.00🏆 AI21: Jamba Large 1.7
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Google: Gemini 2.5 Pro Preview 05-06
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 Google: Gemini 2.5 Pro Preview 05-06

Frequently asked questions

Is AI21: Jamba Large 1.7 better than Google: Gemini 2.5 Pro Preview 05-06?

Google: Gemini 2.5 Pro Preview 05-06 wins on 4 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 Google: Gemini 2.5 Pro Preview 05-06?

Input: $2.00 vs $1.25 per 1M tokens. Output: $8.00 vs $10.00 per 1M tokens.

What context windows do AI21: Jamba Large 1.7 and Google: Gemini 2.5 Pro Preview 05-06 support?

AI21: Jamba Large 1.7 supports up to 256K tokens. Google: Gemini 2.5 Pro Preview 05-06 supports up to 1.0M tokens.

Do both AI21: Jamba Large 1.7 and Google: Gemini 2.5 Pro Preview 05-06 support tool calling?

AI21: Jamba Large 1.7: yes. Google: Gemini 2.5 Pro Preview 05-06: yes.

Compare AI21: Jamba Large 1.7 with other models

Compare Google: Gemini 2.5 Pro Preview 05-06 with other models