Auto-generated comparison

AI21: Jamba Large 1.7 vs Inception: Mercury 2

Inception: Mercury 2 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityAI21: Jamba Large 1.7Inception: Mercury 2Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
256K128K🏆 AI21: Jamba Large 1.7
Input price (per 1M)
Cost per million input tokens billed by the provider.
$2.00$0.25🏆 Inception: Mercury 2
Output price (per 1M)
Cost per million output tokens billed by the provider.
$8.00$0.75🏆 Inception: Mercury 2
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 Inception: Mercury 2

Frequently asked questions

Is AI21: Jamba Large 1.7 better than Inception: Mercury 2?

Inception: Mercury 2 wins on 3 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 Inception: Mercury 2?

Input: $2.00 vs $0.25 per 1M tokens. Output: $8.00 vs $0.75 per 1M tokens.

What context windows do AI21: Jamba Large 1.7 and Inception: Mercury 2 support?

AI21: Jamba Large 1.7 supports up to 256K tokens. Inception: Mercury 2 supports up to 128K tokens.

Do both AI21: Jamba Large 1.7 and Inception: Mercury 2 support tool calling?

AI21: Jamba Large 1.7: yes. Inception: Mercury 2: yes.

Compare AI21: Jamba Large 1.7 with other models

Compare Inception: Mercury 2 with other models