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Gemini 3.5 Flash-Lite vs Nemotron 3 Ultra

At a glance

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

1.0M ctx$0.30/$2.50 per M

NVIDIA's open frontier reasoning model for orchestration, coding, and deep research.

512K ctx$0.60/$3.60 per M
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AI Output
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Specs
1.0M
Context
66K
Max output
Jul 2026
Released
512K
Context
16K
Max output
Jun 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input50%$0.30/M tokens
Output31%$2.50/M tokens
Reasoning$2.50/M tokens
Cache read85%$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
Live pricing, shown before you run
Input$0.60/M tokens
Output$3.60/M tokens
Cache read$0.20/M tokens
Chat with Gemini 3.5 Flash-LiteGo to model
Chat with Nemotron 3 UltraGo to model
Frequently Asked Questions: Gemini 3.5 Flash-Lite vs Nemotron 3 Ultra▼

Which is better, Gemini 3.5 Flash-Lite or Nemotron 3 Ultra?

▼

Both Gemini 3.5 Flash-Lite and Nemotron 3 Ultra 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 is cheaper, Gemini 3.5 Flash-Lite or Nemotron 3 Ultra?

▼

Gemini 3.5 Flash-Lite has a lower blended cost. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output. Nemotron 3 Ultra: $0.60 input / $3.60 output.

Which has a larger context window, Gemini 3.5 Flash-Lite or Nemotron 3 Ultra?

▼

Gemini 3.5 Flash-Lite has a larger context window: Gemini 3.5 Flash-Lite supports 1M tokens vs Nemotron 3 Ultra at 512K tokens.

Do both Gemini 3.5 Flash-Lite and Nemotron 3 Ultra support vision?

▼

Gemini 3.5 Flash-Lite supports vision/image input, but Nemotron 3 Ultra does not.

What are the key differences between Gemini 3.5 Flash-Lite and Nemotron 3 Ultra?

▼

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 Gemini 3.5 Flash-Lite and Nemotron 3 Ultra for free on idapt.app to see which performs better for your specific needs.

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