Auto-generated comparison

AI21: Jamba Large 1.7 vs inclusionAI: Ling 3.0 Flash VL

inclusionAI: Ling 3.0 Flash VL wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityAI21: Jamba Large 1.7inclusionAI: Ling 3.0 Flash VLWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
256K131K🏆 AI21: Jamba Large 1.7
Input price (per 1M)
Cost per million input tokens billed by the provider.
$2.00$0.06🏆 inclusionAI: Ling 3.0 Flash VL
Output price (per 1M)
Cost per million output tokens billed by the provider.
$8.00$0.18🏆 inclusionAI: Ling 3.0 Flash VL
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 inclusionAI: Ling 3.0 Flash VL
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 inclusionAI: Ling 3.0 Flash VL

Frequently asked questions

Is AI21: Jamba Large 1.7 better than inclusionAI: Ling 3.0 Flash VL?

inclusionAI: Ling 3.0 Flash VL 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 inclusionAI: Ling 3.0 Flash VL?

Input: $2.00 vs $0.06 per 1M tokens. Output: $8.00 vs $0.18 per 1M tokens.

What context windows do AI21: Jamba Large 1.7 and inclusionAI: Ling 3.0 Flash VL support?

AI21: Jamba Large 1.7 supports up to 256K tokens. inclusionAI: Ling 3.0 Flash VL supports up to 131K tokens.

Do both AI21: Jamba Large 1.7 and inclusionAI: Ling 3.0 Flash VL support tool calling?

AI21: Jamba Large 1.7: yes. inclusionAI: Ling 3.0 Flash VL: yes.

Compare AI21: Jamba Large 1.7 with other models

Compare inclusionAI: Ling 3.0 Flash VL with other models