Auto-generated comparison

google/gemma-3-4b-it vs inclusionAI: Ling 3.0 Flash VL

google/gemma-3-4b-it and inclusionAI: Ling 3.0 Flash VL are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

Capabilitygoogle/gemma-3-4b-itinclusionAI: Ling 3.0 Flash VLWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K131KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.05$0.06🏆 google/gemma-3-4b-it
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.10$0.18🏆 google/gemma-3-4b-it
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 inclusionAI: Ling 3.0 Flash VL
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 inclusionAI: Ling 3.0 Flash VL

Frequently asked questions

Is google/gemma-3-4b-it better than inclusionAI: Ling 3.0 Flash VL?

google/gemma-3-4b-it and inclusionAI: Ling 3.0 Flash VL are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between google/gemma-3-4b-it and inclusionAI: Ling 3.0 Flash VL?

Input: $0.05 vs $0.06 per 1M tokens. Output: $0.10 vs $0.18 per 1M tokens.

What context windows do google/gemma-3-4b-it and inclusionAI: Ling 3.0 Flash VL support?

google/gemma-3-4b-it supports up to 131K tokens. inclusionAI: Ling 3.0 Flash VL supports up to 131K tokens.

Do both google/gemma-3-4b-it and inclusionAI: Ling 3.0 Flash VL support tool calling?

google/gemma-3-4b-it: not advertised. inclusionAI: Ling 3.0 Flash VL: yes.

Compare google/gemma-3-4b-it with other models

Compare inclusionAI: Ling 3.0 Flash VL with other models