Auto-generated comparison

AI21: Jamba Large 1.7 vs Cohere: Command R7B (12-2024)

AI21: Jamba Large 1.7 and Cohere: Command R7B (12-2024) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityAI21: Jamba Large 1.7Cohere: Command R7B (12-2024)Winner
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$0.04🏆 Cohere: Command R7B (12-2024)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$8.00$0.15🏆 Cohere: Command R7B (12-2024)
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 AI21: Jamba Large 1.7
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 Cohere: Command R7B (12-2024)?

AI21: Jamba Large 1.7 and Cohere: Command R7B (12-2024) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between AI21: Jamba Large 1.7 and Cohere: Command R7B (12-2024)?

Input: $2.00 vs $0.04 per 1M tokens. Output: $8.00 vs $0.15 per 1M tokens.

What context windows do AI21: Jamba Large 1.7 and Cohere: Command R7B (12-2024) support?

AI21: Jamba Large 1.7 supports up to 256K tokens. Cohere: Command R7B (12-2024) supports up to 128K tokens.

Do both AI21: Jamba Large 1.7 and Cohere: Command R7B (12-2024) support tool calling?

AI21: Jamba Large 1.7: yes. Cohere: Command R7B (12-2024): not advertised.

Compare AI21: Jamba Large 1.7 with other models

Compare Cohere: Command R7B (12-2024) with other models