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Ling 3.1 Flash vs Gemini 3.5 Flash-Lite

At a glance

InclusionAI's fast hybrid-reasoning MoE, 560B total with 25B active.

262K ctx$0/$0 per M

Google's high-efficiency model for focused subagent work and multi-agent workflows.

1.0M ctx$0.30/$2.50 per M
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
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This model hasn't been benchmarked yet.

Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch AI·OpenRouter· as of 2026-10-02
Reasoning & Knowledge
Graduate Science83.3%
Math
Competition Math71.1%
Agentic
Novel Reasoning10.3%
Specs
262K
Context
33K
Max output
Oct 2026
Released
1.0M
Context
66K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$0/M
Output$0/M
Live pricing, shown before you run
Input$0.30/M tokens
Output$2.50/M tokens
Reasoning$2.50/M tokens
Cache read$0.03/M tokens
Cache write$0.08/M tokens
Image input$0.30/M tokens
Audio input$0.30/M tokens
Web search$0.01/search
Chat with Ling 3.1 FlashGo to model
Chat with Gemini 3.5 Flash-LiteGo to model
Frequently Asked Questions: Ling 3.1 Flash vs Gemini 3.5 Flash-Lite▼

Which is better, Ling 3.1 Flash or Gemini 3.5 Flash-Lite?

▼

Both Ling 3.1 Flash and Gemini 3.5 Flash-Lite are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which has a larger context window, Ling 3.1 Flash or Gemini 3.5 Flash-Lite?

▼

Gemini 3.5 Flash-Lite has a larger context window: Ling 3.1 Flash supports 262K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.

Do both Ling 3.1 Flash and Gemini 3.5 Flash-Lite support vision?

▼

Gemini 3.5 Flash-Lite supports vision/image input, but Ling 3.1 Flash does not.

What are the key differences between Ling 3.1 Flash and Gemini 3.5 Flash-Lite?

▼

Key differences: only Gemini 3.5 Flash-Lite supports vision input. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Ling 3.1 Flash and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.

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