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Nemotron Ultra 253B vs Gemini 3.5 Flash-Lite

At a glance

NVIDIA's largest Nemotron model based on Llama 3.1 at 253B scale.

131K ctx

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
See rankings
No benchmarks available

This model hasn't been benchmarked yet.

Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
131K
Context
33K
Max output
—
Released
1.0M
Context
66K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Pricing not available
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 Nemotron Ultra 253BGo to model
Chat with Gemini 3.5 Flash-LiteGo to model
Frequently Asked Questions: Nemotron Ultra 253B vs Gemini 3.5 Flash-Lite▼

Which is better, Nemotron Ultra 253B or Gemini 3.5 Flash-Lite?

▼

Both Nemotron Ultra 253B 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, Nemotron Ultra 253B or Gemini 3.5 Flash-Lite?

▼

Gemini 3.5 Flash-Lite has a larger context window: Nemotron Ultra 253B supports 131K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.

Do both Nemotron Ultra 253B and Gemini 3.5 Flash-Lite support vision?

▼

Gemini 3.5 Flash-Lite supports vision/image input, but Nemotron Ultra 253B does not.

What are the key differences between Nemotron Ultra 253B and Gemini 3.5 Flash-Lite?

▼

Key differences: only Gemini 3.5 Flash-Lite supports vision input; only Gemini 3.5 Flash-Lite offers extended reasoning mode. 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 Nemotron Ultra 253B and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.

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